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IBM Netezza Performance Server: Containerized Modernization

Key Points

  • The webinar introduces IBM’s hybrid data management team and celebrates the one‑year anniversary of the Netezza Performance Server (NPS), highlighting recent updates and a refresher for newcomers.
  • NPS has been re‑engineered from 32‑bit to 64‑bit and fully containerized on Red Hat OpenShift, delivering lower administration overhead, high availability, and the ability to run wherever OpenShift is deployed (on‑premises or in the cloud).
  • By standardizing on OpenShift, IBM can offer NPS both through its on‑prem Cloud Pak for Data system and as a cloud‑native service, providing flexible deployment options for customers.
  • Despite the modernized architecture, the product retains the same native Netezza code base, ensuring code‑level interoperability and preserving the familiar “DNA” that existing customers rely on.

Full Transcript

# IBM Netezza Performance Server: Containerized Modernization **Source:** [https://www.youtube.com/watch?v=fETdNwNodvk](https://www.youtube.com/watch?v=fETdNwNodvk) **Duration:** 00:34:39 ## Summary - The webinar introduces IBM’s hybrid data management team and celebrates the one‑year anniversary of the Netezza Performance Server (NPS), highlighting recent updates and a refresher for newcomers. - NPS has been re‑engineered from 32‑bit to 64‑bit and fully containerized on Red Hat OpenShift, delivering lower administration overhead, high availability, and the ability to run wherever OpenShift is deployed (on‑premises or in the cloud). - By standardizing on OpenShift, IBM can offer NPS both through its on‑prem Cloud Pak for Data system and as a cloud‑native service, providing flexible deployment options for customers. - Despite the modernized architecture, the product retains the same native Netezza code base, ensuring code‑level interoperability and preserving the familiar “DNA” that existing customers rely on. ## Sections - [00:00:00](https://www.youtube.com/watch?v=fETdNwNodvk&t=0s) **Netezza Performance Server Anniversary Webinar** - IBM’s hybrid data management leaders host a webinar marking the one‑year anniversary of the Netezza Performance Server, discussing recent updates and the advantages of its containerized Red Hat OpenShift deployment. - [00:26:34](https://www.youtube.com/watch?v=fETdNwNodvk&t=1594s) **Cost‑Effective Legacy Data Migration** - The speaker explains how Netiza’s performance server supports decades‑old JDBC/ODBC drivers, letting existing applications switch to a new system without costly re‑architecting, thereby easing budget pressures and shortening lengthy data‑warehouse migrations. ## Full Transcript
0:02hello everyone and thank you for joining 0:04our webinar today i am carmen leon i 0:06lead the hybrid data management business 0:08at ibm 0:09and with me today albeit six feet apart 0:12i have vikramarali who is our vice 0:15president of 0:16development for hybrid data management 0:18we also have microneed joining us 0:20virtually mike leads the north america 0:23business for 0:24data warehousing and i would like to 0:26call mike actually one of the netezza 0:28originals because he's been 0:30with netiza i believe since 2004 or 2005 0:33is that right mike that's right but yeah 0:35by the teaser originals carmen is going 0:37to call me old there 0:38[Laughter] 0:40so we just celebrated our one year 0:43anniversary of launching the teaser 0:45performance server 0:46and i figured now is a good time for us 0:48to kind of do a little get together 0:50share with our audience some of the 0:52updates that we've made to the solution 0:53and for those who are just learning 0:55about neteaser performance server 0:56kind of do a little refresh for them as 0:58well does it sound good to you all 1:00really good i know netezza has been a 1:02very popular enterprise data warehouse 1:05for almost two decades now 1:06and thousands and thousands of our 1:08customers have been using this 1:10as their data warehouse for two decades 1:12so the new neteza netiza performance 1:15server 1:15now actually sits on a containerized 1:17platform running on red hat openshift 1:19can you talk a little bit about 1:21how our customers are specifically 1:23benefiting from running on this 1:24containerized platform 1:26absolutely so one of the things we first 1:29did when we introduced neteza 1:30performance server last year 1:32was we took the code which was 32-bit we 1:35made it a 64-bit code we had to upgrade 1:37that and we containerized 1:39it is a microservice based architecture 1:41so we containerized the entire engine 1:44the advantage to our customers the 1:46benefit to our customer is the low 1:48administration cost the high 1:50availability that they get from 1:52containerization 1:53and running on openshift but more than 1:55that since we have now standardized on 1:57openshift 1:58netezza can technically run anywhere 2:00openshift is running 2:01so right now we have it available on 2:04our on-prem product which is the cloud 2:06pack for data system but we also 2:08have it available on the cloud and the 2:11reason we are able to do that 2:12is because we standardized on openshift 2:14and it is a completely containerized 2:16platform 2:16that sounds great so before we dive into 2:19the 2:20speeds and feeds of the product for our 2:22audience who is learning about native 2:24performance server for the very first 2:25time 2:26mike i think we need to address kind of 2:28the elephant in the room the number one 2:29thing that our customers really really 2:31care about 2:32which is code based interoperability so 2:34mike can you talk a little bit about the 2:36teaser performance server and whether 2:38it has the exact same netiza code base 2:40or not 2:41yeah absolutely right so it probably is 2:44the number one thing 2:45top of mind as we go out to the you know 2:49to the customer base et cetera they want 2:51to know how you brought these modernized 2:53features but at the same time have 2:55maintained 2:56the dna of native is it really the 2:58teaser right 2:59is it green does it bleed the green etc 3:02um 3:03and it does right so you know we are you 3:06know i'm personally 15 3:0716 years into this brand at this point 3:10um so it's the evolution of a code base 3:12that has continued over the years 3:14and this is the native code base now 3:17later on we're 3:18likely to talk about some of the new 3:19features and what we've done to enable 3:21you know cloud deployments et cetera uh 3:24but it is netezza 3:25so picking up all your work with bi 3:28etl etc is all in scope with that code 3:32base 3:33fantastic so since it's the same natiza 3:36code 3:36same nps engine it sounds like if our 3:39customer wants to migrate from their old 3:41netizea over to the new native it's not 3:43really 3:43a migration anymore it's more of an 3:45upgrade is that right vikram 3:46that is correct so as mike mentioned the 3:49migration we call it an upgrade 3:51it's using one command it's called nz 3:53migrate 3:54that is one way of doing it there's 3:56another way customers could actually 3:58move to our new netizea performance 3:59server 4:00the compatibility is so high that they 4:02can just back up 4:04their older system and restore it into 4:06the newer system 4:07so when we say we are 100 compatible we 4:10are truly compatible 4:11imagine backing up an older system and 4:13just restoring it so that's 4:15another way for customers to just move 4:17from their older to newer systems 4:19i think i've heard customers moving from 4:22old to new and over a weekend is that 4:23right 4:24that is true that is true so we we've 4:26had customers 4:27from when we installed the product to 4:29when they go to production it can happen 4:31in a matter of weeks the fastest the 4:32customer has gone is about four to five 4:34weeks i would say 4:35but that's because they include testing 4:37and so on but once the system is up and 4:39running we've installed it it's up and 4:41running 4:41they can actually it's just the time 4:43that it takes for them to either run an 4:45ng migrate 4:46or just do a backup and restore it's 4:48it's that simple 4:49that's fantastic so very simple very 4:51easy for our customers to upgrade from 4:53old to new 4:54now going along the same theme around 4:57simplicity 4:58i know one of the things that our native 4:59customers have also really loved 5:01is just how simple it is for them to use 5:04netezza 5:04so vikram is a new natisa just as simple 5:07in terms of you know development 5:09deployment 5:10ongoing administration and maintenance 5:12absolutely so 5:13one of the things when we were uh 5:15working on releasing the neonatisa one 5:17of the things we wanted to always keep 5:18in mind 5:19is the simplicity of neteza customers 5:22like nadisa because you don't have 5:24to monitor it you don't have to 5:25administer it you just install it 5:28you throw queries at it applications can 5:30connect to it 5:31and and you're on your way so i would 5:33say there is zero administration 5:35and that is something that we have 5:37carried on with netiza performance 5:38server as well 5:40and that is why we say customers can be 5:42up and running in a matter of 5:44hours if not days definitely not you 5:47know it's not going to take you weeks 5:48months to do it 5:49it's it's so simple to use if if 5:52our existing nedisa customers coming 5:55from twin fins and stripers and makos 5:58they know how easy it is to move from a 6:00twin fin to a striper to a striper to a 6:02mako for example 6:03it's exactly the same got it got it that 6:06sounds fantastic so basically netize is 6:08practically delivering out of the box 6:10easy performance 6:11correct awesome mike let's talk about 6:14the the hardware changes that we've made 6:15a little bit i understand for an ateza 6:17performance server this is actually now 6:19our ninth 6:20hardware refresh to netezza um can you 6:23speak to 6:24what is still there what hasn't changed 6:26what has changed 6:27and with those changes what are some of 6:28the performance improvements that our 6:30customers can expect 6:31sure absolutely um so ninth generation 6:34right depending on who's doing the 6:36counting but absolutely 6:38you are well i'm going to counting it's 6:41not 6:41right so uh and i've been around for 6:43them uh and seen the way that they have 6:45you know gone down et cetera but as you 6:48mentioned 6:49you know over the course of manitesa 6:52life 6:52cycles um you know we've brought to bear 6:55various new technology releases 6:57enhancements etc always bringing in 7:01opportunities where we've got a cost 7:02benefit and a performance benefit 7:04from any modernization that we've done 7:07right never made sense in an adhesive 7:09architecture 7:10to bring in you know the fastest disk 7:12drive or the fastest cpu stack 7:15because it's a balanced system right 7:17it's an mpp system 7:19that really gets to the heart of your 7:20question right so what still remains 7:23well what still remains that is neteza 7:26is really all of it 7:27it's just that next generation of 7:28hardware just as we've always brought 7:31at the right and appropriate time new 7:33modernized elements 7:35we've stayed true to the dna right the 7:37dna is 7:38you know the postgresql derivative right 7:40so our great great grandfather i like to 7:43say is postgres 7:44right that's where matisse originated 7:46that gives us the great interoperability 7:48with the third-party ecosystems 7:50it gives us a great story around open 7:52source 7:53and it's really easy to deal with now 7:56what we've done in the pizza over the 7:57years has taken that that postgres 7:59shell and we've extended it into the 8:01enterprise right we've given enterprise 8:03class standard and feature sets to that 8:07code base and continue to evolve them 8:10it's one of the things and we'll talk 8:11about this a little bit later that 8:13really differentiates us from some of 8:15the uh startups 8:16that you're seeing come into the data 8:17warehousing market where they like 8:20netezza have said 8:21you know let's leverage this database 8:23engine this postgres 8:24engine and let's throw it out there on 8:26commodity hardware 8:27well having lived through it the first 8:29time it's not really that simple is it 8:32it takes a lot of engineering it takes a 8:34lot of sophistication it takes a lot of 8:36really good 8:37software to get to that point where 8:40you take a system like an antesa and you 8:42make it capable 8:43for enterprise workloads so i'd say you 8:46know specifically to your question 8:49the dna is there right so the dna is 8:51there in terms of mpp the dna is there 8:55in terms 8:55of things like zone mapping that speaks 8:58to the simplicity that you talked about 9:00earlier 9:00the things that are net new um the 9:03storage subsystem 9:05so those of you that have been around 9:06the teaser for a long time 9:08typically when a bottleneck did occur in 9:11the teaser it was in the form of disk i 9:13o 9:13right so with analytic queries you hit a 9:16disk i o 9:17bound it's typically the first thing 9:18that you hit the new storage subsystem 9:21being 9:22ssd driven goes right to the heart of 9:24that 9:25immediately goes and attacks that 9:27traditional bottleneck 9:28but at the same time not compromising 9:30any of the ways that you speak 9:32to and work with and live within the 9:34tisa system 9:36so true to the dna but injecting a whole 9:39host of new modernized hardware 9:41just as we've always done nine times 9:44that's great so with all of these 9:45performance improvements vikram i bet 9:47when we're running pocs we probably see 9:49that in the field as well 9:50so i know since launch you have done 9:52dozens and dozens of these client pocs 9:55from a performance standpoint how does 9:56an ateza performance server compare 9:59to you know our customers twin fins and 10:01stripers or if they have the later makos 10:03how does it compare against those 10:04systems 10:05that's that's a great question so i'm 10:07going to answer it uh two different ways 10:08so one 10:10we do a lot of benchmarking and testing 10:12in-house 10:13and then the second part of it is when 10:15our customers really install it 10:17and they tell us you know what their 10:19experience is 10:20so what we have seen across the board if 10:23a customer is coming from 10:24let's say a twin fin or a striper we are 10:26about five to eight times 10:28faster and when a customer is coming 10:31from amako 10:33we are about two times faster when it 10:35comes to load performance and we are 10:36about three times faster when it comes 10:38to sql performance 10:40now these are i believe very 10:42conservative numbers 10:43it completely depends on workloads that 10:45you're running 10:46and that's why i say you know i like to 10:49listen to what our customers have to say 10:51the ones who have invested in nedisa 10:53performance server and who are already 10:54in production 10:56and some of these customers are telling 10:58us they are seeing speed bumps of 11:00about 15 to 20 x compared to their older 11:03systems 11:04i mean it's just unbelievable one 11:06customer 11:07actually wrote me an email and he told 11:09me 11:10that he thought his jobs had errored out 11:14on his previous generation edisa system 11:16it used to take about 15 minutes for him 11:18to run a particular set of jobs 11:20and in this one it completed in about a 11:22minute and a half 11:23and he thought there is no way it could 11:25have completed that fast 11:27it must have errored out and he was 11:28pleasantly surprised 11:30that it was that fast so i mean we love 11:33i love to see such 11:34emails that's true appreciation and 11:37as i said we can do whatever benchmarks 11:39we want in-house 11:40but the true testimony comes from 11:42customers and we are getting 11:44you know customer testimonials on a 11:46daily basis how fast it is 11:48that's incredible um so now let's talk a 11:51little bit about the the new 11:52architecture mike 11:54in the past and mike you definitely 11:56recall this since you've lift and 11:57breathed it 11:58when a customer has outgrown their 12:00existing netiza environment let's say 12:02they are going from a two rack and they 12:04need to go 12:04to a four rack they basically had to buy 12:07an entire 12:07new four rack we ship it in they put it 12:10next to their two rack they have to load 12:12the data synchronize the data 12:14it's an extremely complicated cumbersome 12:16process 12:17now can you talk about what our new 12:19architecture for native performance 12:21server is like today 12:22and how our customers can can grow and 12:24expand on a teaser performance server 12:27yeah absolutely and you're not wrong so 12:29traditionally it was always a uh 12:32an uncomfortable moment in the 12:34conversation when we talked about 12:36upgrade and expandability right you've 12:38got this great thing 12:40you're encouraging them to use more of 12:41it they are using more of it 12:43they outgrow it come back and say mike 12:45my one rack or my two rack system is not 12:48enough anymore 12:49what can you do for me and that 12:51conversation was always just as you said 12:53carmen it was 12:54you know what i can do is bring in a 12:56four rack or a two rack system 12:58and i can take up some data you know 13:00some data center space and i can 13:02synchronize between the two 13:03and ultimately i'll take that one away 13:06right but the the interruption if you 13:08will that that 13:09uh that drove into the applications or 13:12into the workloads 13:13uh was never a great part of the 13:15conversation it was always the part that 13:17it was like 13:18yeah but this this little other piece 13:20for expandability 13:22um so we've addressed that in the form 13:24of you know cloud being our 13:26inspiration right so on demand or very 13:29small 13:30increments of expandability so cloud is 13:33an inspiration 13:34but having to deliver it to an on-prem 13:36appliance 13:38um so we've brought two really good 13:39things number one 13:41is the steps of growth is much smaller 13:44than it's ever been 13:45so you're not talking about doubling or 13:47quadrupling the environment anymore 13:50which is what we had you know with the 13:51earlier lines so now you're talking 13:53about just layering in 13:55you know smaller expansion nodes that 13:57are a much smaller step 13:59so the customers and you know i'm with 14:01customers all the time as you know 14:03they're very very intrigued by that and 14:06if they feel very good to not need to 14:08over buy you know on a five year or a 14:11three year cycle 14:12they can expand over time in increments 14:15so that small step is number one 14:18the second step of that which is really 14:20key is that it's in field expandable 14:23right so the the system doesn't go away 14:26no we don't rip out the entirety the 14:28host etc 14:30we're going to expand these systems in 14:32field so there's a lot less disruption 14:34from an operational perspective as well 14:37we come in slide in an additional 14:39set of expansion nodes in the existing 14:42racks etc 14:43and off you go with bigger capacity so 14:46now small steps 14:47and in-field expandability are key 14:50what i'll call modernized elements to it 14:54fantastic so what might just describe 14:56the small incremental 14:58growth that that's basically allowing 14:59our customers to go from gigabytes to i 15:01think multi-petabytes they can scale in 15:03a teaser performance server now 15:05so can you talk a little bit about what 15:07are some of the additions 15:08and specifically to our customers uh who 15:11have tiny footprint with netezza 15:13before can you talk about what are some 15:14of the additions that we have made to 15:16the neteza performance server since we 15:18launched it a year ago 15:19absolutely so one thing we did in june 15:23of this year 15:24is we introduced what we call a design 15:26the base and this is a very small form 15:28factor of nedisa 15:30it it can install in basically two 15:33enclosures 15:34and as mike was saying we have 15:36technically gone away from 15:38calling this an appliance because when 15:41we say an appliance 15:42it's it's it's like a toaster you know 15:45it can do one thing 15:46what we have right now it's a hyper 15:48convert system 15:49and the advantages of such a system is 15:51that you can do data science you can do 15:53machine learning there are 15:55cloud pack for data a platform 15:57capabilities and features are available 15:59as well 16:00and that's why expansions you can grow 16:02one enclosure at a time 16:04so now we have netiza installed in that 16:06one single enclosure 16:07so for those customers who want a really 16:09small footprint 16:10and you keep in mind you can keep 16:12growing at a later date if you want to 16:14but they can start with something really 16:16small and as mike mentioned you don't 16:18have to pay for something you won't use 16:20until year three or four 16:21right now just start small and you can 16:23keep growing so that's one thing that we 16:24have done 16:25now the other thing we did in june of 16:27this year was we also introduced nedisa 16:29on the cloud 16:30uh it's available on two clouds it's 16:32available on ibm cloud as well as 16:35amazon cloud and we are working on 16:37bringing it to azure it's going to come 16:39around the november time frame this year 16:41and soon after it will come on google 16:43cloud as well so now customers have a 16:45true choice of going 16:47wherever they want and we fully 16:49understand every customer is in a 16:51different phase of their cloud journey 16:53but guess what you don't have to make 16:54that decision right now so you can 16:56get an on-prem system whatever work you 16:59do that including applications 17:01you know whatever development work you 17:02do there you can move to the cloud at 17:04your pace 17:05and we have netize available on these 17:07two clouds ibm and amazon right now 17:09and as i said azure and google very soon 17:13fantastic so it sounds like that there's 17:15that portability element that our 17:17customers would also appreciate too 17:19because if they're running on-prem today 17:20and they want to take that cloud pack 17:22for data software and run it somewhere 17:23else tomorrow they can do it 17:25do it at their own pace and then also 17:26for the customers like you mentioned who 17:28are preferring a much smaller footprint 17:30and only wants to focus on the netezza 17:32use case today they can start at the 17:34base system 17:35you can actually do an nz migrate 17:37directly through an s3 bucket 17:39and you don't have to even move the file 17:42the nedisa on-prem system does it for 17:44you 17:44and from that s3 bucket you can do a you 17:47know restore or 17:48you know you can you can pull the file 17:50down on your cloud system 17:52so imagine the compatibility you can 17:54actually even backup 17:56your on-prem system and restore it into 17:58the cloud system so it's truly flexible 18:01i honestly don't believe there's another 18:03edw that offers you that level of 18:05flexibility 18:06amazing so aside from flexibility with 18:09native performance server running on red 18:11hat open shift mic 18:12all the analytic activities also gets 18:15consolidated into one place which is 18:16where the data resides 18:18can you talk a little bit about how 18:20native performance server 18:21is specifically not just only helping 18:23our analysts how is it also simplifying 18:26the work for data scientists as well 18:28absolutely 18:30what we see today and what we see 18:31emerging is 18:33you know like never before the notion of 18:36co-location is important again 18:38right as we look to you know some of my 18:40data is in the cloud 18:42some of my data is on-prem some of my 18:44data is 18:45unconformed other is not et cetera 18:48so the idea and the challenge behind 18:51someone trying to 18:52achieve analytics or to do data science 18:56against all of this varying data that 18:58lives in different places and comes from 19:00different systems 19:01so the notion of being able to collocate 19:03or pre-integrate 19:05functionality together has become 19:08interesting again 19:09this new generation of netiza is a child 19:12of cloud pack for data and in addition 19:15to the netezza feature set in 19:17functionality 19:18cloud pasture data has a very broad 19:20spectrum 19:22of analytic tools right so machine 19:24learning tools data science tools 19:27cataloging and cleansing tools etc all 19:30of these 19:30you know ecosystem partners the data 19:33warehouses have always needed 19:35right have always needed to be 19:36integrated together with them 19:38and that was the long pole in the tent 19:40was actually bringing them together 19:42pre-integrating it getting it to the 19:45point where 19:46a knowledge worker or a data scientist 19:48or even back in the day an analyst 19:51could go in and make heads or tails of 19:53all this different data 19:55from a common repository i think we've 19:58done a really nice job as it relates to 20:00cloud pack for data 20:02and i couldn't be more thrilled to see 20:04netiza which in my opinion 20:06is our bread and butter data warehouse 20:08to see that 20:09sitting as heart and lung of cloud pack 20:11for data 20:12so it's pretty exciting time that's my 20:15feeling 20:16let's also talk about some of our 20:17existing netizea customers 20:19who are still running on their very old 20:22twin fin striper 20:23systems that have been out of support 20:26for what over a year now for some of 20:28them right and still not upgrading 20:30i think primarily these customers they 20:32kind of fall into two buckets 20:34in my mind a is they are running 20:36completely unsupported 20:38b is they probably acquired some 20:41uncertified unsanctioned third-party 20:43support and they're trying to extend the 20:45life of these boxes a little bit longer 20:47so vikram can you talk a little bit 20:49about the risk and exposures for 20:51for all these customers customers have a 20:53lot of choice 20:54they love their older eza system so much 20:57that they want to 20:58hold on to it but there's a lot of risk 21:00involved in it 21:01the the main issue i see is if you look 21:04at the software aspect of nedisa 21:07ibm we have access to the code we have 21:09the code 21:10and we develop fixes for defects and we 21:13you know 21:14routinely give customers defect fixes 21:17security patches and so on if you go to 21:20a third party 21:20and try to get a support from them my 21:23only caution to such customers would be 21:25make sure what you're signing up for 21:28because when your system is down 21:30and when you need a patch to go fix that 21:32system 21:33i don't see how these third parties will 21:34be able to provide you that path because 21:36they don't have access to our source 21:38code 21:39right and they don't have our experience 21:41fixing these 21:42defects i would really ask them to take 21:45another look at nedisa performance 21:47server 21:48because as everything that we said it's 21:50a modern engine right now 21:52there should be no inhibition in going 21:54to this modern engine 21:56and you don't have to spend months or 21:58years trying to 21:59upgrade your netizea system from your 22:01old system to new system 22:03in a matter of days if not weeks you can 22:05actually just upgrade to the netizer 22:06performance server 22:07and that's the latest and greatest i 22:09would be very cautious in going with 22:11third party support 22:13because i i just don't see how they'll 22:15be able to support 22:16customers in business critical 22:18applications and this is your data 22:19warehouse it's a very mission critical 22:21asset 22:22and i think mike you've actually talked 22:23to some customers recently right where 22:26they have gone to extend the support on 22:27third-party support and 22:29they basically weren't able to get their 22:32netizes stood back up again after it 22:34crashed 22:34we've seen it manifest itself really in 22:36two ways 22:37number one the software fixes all right 22:40the 22:40security patches etc that can get really 22:43really scary 22:44you know especially if you think about 22:47you know the cyclical nature 22:48of data warehousing cyclical nature of 22:51our customers themselves 22:53so you know imagine a retailer heading 22:55into holiday season 22:56that believe it or not we are heading in 22:58the holiday season for 2020 23:00um so you know the typical thing you do 23:03is you prep 23:04are my systems ready are my people ready 23:06and am i updated on software 23:08my security patches in place is my 23:10system healthy 23:11right and we've had examples where 23:13customers are asking those questions now 23:16and trying to prepare for holiday or 23:18wherever their cyclical pump is and 23:20work um only to find that no you're 23:23locked into that release 23:24when you came off of ibm support 23:28we've got the patch from then we can 23:29give you that but it doesn't fix 23:31this or hey these four disk drives that 23:34you want to 23:35to swap out because they're starting to 23:36degrade a little bit 23:38we don't have this they're not available 23:40because this is 15 year old technology 23:42right 23:43so as these systems start to age and 23:45they get older 23:46you actually will see as you would 23:48expect you see hardware failures start 23:50to increase 23:51and they increase you know cliff light 23:53right you start to see them increase 23:55much more frequently than maybe you had 23:58in the first five years 23:59a scary notion to uh to entrust an edw 24:03workload 24:04to you know any firm that can't offer 24:06you a software upgrade or guarantee the 24:08availability of parts 24:11precarious position so aside from these 24:14two buckets of customers who haven't 24:16upgraded from their twin fins and 24:17stripers 24:18there's also an increasing number of 24:20clients that we are working with 24:22nowadays who have 24:23perhaps moved off of ibm and chosen a 24:26different modernization path 24:28but now they are kind of coming back to 24:30us because they are dealing with a very 24:32painful very long and complex migration 24:35elsewhere 24:36and also they're realizing that it is 24:38actually extremely expensive and some of 24:40them have been 24:41unpleasantly surprised by how high their 24:43total cost of ownership actually is 24:45mike i know you've actually been 24:46engaging with a lot of these customers 24:48can you dive a little bit more into some 24:50of the challenges that these customers 24:52have shared with you 24:53sure absolutely and that you know i 24:55always go back to like a historical 24:57story you know 24:58with neteza and we used to joke that we 25:01spent the first three to five years at 25:03netiza educating the market to what an 25:05appliance was 25:07and we spent the second ten years of the 25:09teaser pre-acquisition 25:10explaining what an appliance wasn't and 25:13what we meant 25:14by that was this whole fleet of 25:16competition 25:17um came and started to to bite at the 25:20appliance 25:21methodology and the client's vernacular 25:24et cetera 25:25so they started to portray themselves as 25:27something that they want 25:28yet i find myself in very much the same 25:31situation today where there's a whole 25:33host of 25:34of competitors that have now come out 25:37and they're starting to position 25:38against ews and starting to position you 25:41know farther and farther 25:42into the market and they're doing so 25:46with you know immature database engines 25:49obviously 25:50um day you begin as the least mature 25:52that you are and over time you become 25:54more and more mature 25:55so we see that kind of stuff certainly 25:57coming up but i would say the number one 25:59thing that we're seeing is 26:01is really the business models themselves 26:04and the notions 26:05that have been portrayed to the 26:06customers around the opportunity to save 26:09money or to turn off 26:10infrastructure during down times or 26:14you know the way that one scales right 26:17so we see a lot of uh of dissatisfaction 26:20with uh cost predictability so you know 26:23i 26:24i went down this path expecting i was 26:26going to need 26:27you know these three clusters um and 26:29what it ended up that during my peak 26:31time i need 10. 26:32you know by the way i can't turn any of 26:34this down because edw's run 24 by 7. 26:38why didn't i realize that so that's 26:40really where it's coming back to them 26:41it's uh it's not what i thought it was 26:44it's more expensive 26:45i'm not sure how i'm going to scale it 26:47for the entirety of my workload 26:49that's what it is i i would imagine just 26:52about every single customer is facing 26:53increasing pressure with you know 26:55budget cut and trying to do more with 26:57less so 26:59can you talk about specifically and i'll 27:01start with you vikram 27:02how netizea performance server is 27:04practically designed 27:06to really help our customers save money 27:08and cost optimize 27:09if you look at nedisa performance server 27:11today we actually 27:13support jdbc odbc drivers going all the 27:16way to version 5. 27:18that is almost 10 years back so if you 27:20have homegrown applications 27:22the people who might have written those 27:24applications might not even be with your 27:25company anymore 27:26now do you want to re-architect 27:28everything they're working perfectly 27:29fine 27:30you don't have to do any of that all 27:33those drivers 27:34odbc jdbc drivers all of that is 27:36supported assets 27:38so you all you need to do is point those 27:39applications to the new nida performance 27:42server 27:42so imagine the time that you will save 27:45when it comes to 27:46you know moving from the older to new 27:48system edw migrations can take 27:51months if not years i've been with data 27:54warehousing for almost 15 years now 27:56and i've seen customers do that it's 27:58like you know it's a heart transplant 28:00you cannot just change a database 28:02bring in a new database and say i'm done 28:04right so 28:05especially in the middle of a pandemic 28:07right now customers are 28:09looking to save the only risk free 28:11option as i previously said is going to 28:13be for them to go to netizea performance 28:15server 28:15and it's going to save them a lot not 28:18only in the short term but 28:19in the longer term as well yeah on a 28:21similar threat piggybacking off of what 28:23you just said 28:24i think another important thing for us 28:25to also touch on is on 28:27cross-generational support 28:29because a lot of our customers who are 28:31migrating off of netezza onto an 28:33entirely different platform 28:34basically has to do a floor sweep and 28:36rip and replace everything so can you 28:37also speak a little bit about that and 28:39how 28:39they can save money with that yeah 28:40absolutely we have a lot of twin fin 28:42striper and mako customers and by the 28:44way makos 28:45you know the support is there for the 28:46next several years we have customers 28:48mako customers who are actually moving 28:50their production makeover workload to 28:52nedisa performance server 28:54and instead using the makos for test and 28:56development the other thing is if 28:58you invest and buy nedisa performance 29:00server today 29:02we will eventually do a hardware refresh 29:03it might be next year or the year after 29:06we will support interoperab operability 29:08again 29:09which means the system that you have 29:11today you can keep it for dev test or 29:13production 29:14and you can bring in a new system to be 29:16your new production 29:17so there's so much flexibility that we 29:19offer 29:20that i don't see how anyone else can 29:22offer that i think a lot of our 29:24customers are also looking 29:26these days to consolidate what they have 29:28in their data center so can you also 29:29talk a little bit about from an 29:31infrastructure standpoint 29:32how native performance server this new 29:34generation is also helping them save 29:35money with this consolidation effort 29:37if you compare nedisa performance server 29:39to our previous generation systems 29:41the footprint that we occupy is 29:43massively less some customers have even 29:45told us it's one-fifth of the footprint 29:47we went away from the appliance model 29:49and if a customer can now give us 29:52more power and cooling per rack we can 29:55actually fit 29:56more within a rack so we have come to a 29:58customized solution 30:00where you can put more servers per rack 30:02but even without that 30:04even comparing rack to rack our massive 30:07reduction in footprint will just reduce 30:09the amount of power and cooling 30:11a customer will have to bring in and it 30:14also reduces tile space 30:15so just there the cost of ownership the 30:17true cost of ownership 30:19is massively reduced there's a huge 30:22difference between 30:23you know what we've coined as a 30:24frictionless upgrade and what we've even 30:27experienced ourselves you know over the 30:29years with with a true migration 30:31right a true migration where you're 30:33touching every bit 30:34of adjacent code be it etl be it bi 30:38be it administrative code you know all 30:40of these things that have grown up like 30:42an 30:43onion around your edw when you migrate 30:46your engine 30:47and god forbid you migrate your engine 30:49at the same time that you're migrating 30:50to a new deployment style 30:52you're just inserting lots and lots of 30:55variability into the equation 30:56right and no one wants to talk about 30:58risk and variability 31:00only to have parity on the other side 31:02right so the only check mark 31:04is i quote unquote modernized right um 31:07but the net net is i spent a lot of time 31:09and i spent a lot of money 31:10only to get parity on the other side 31:12right so 31:14it's amazing the difference between an 31:16upgrade and a migration 31:18i would imagine with no tuning no 31:20indexing very minimal administration and 31:22ongoing maintenance 31:24there is a lot of cost savings tied to 31:25that as well correct absolutely 31:27absolutely 31:28as mike mentioned you're going to save 31:30cost on migration because there's no 31:32migration 31:34the simplicity of neteza which is what 31:36neteza is famous for in the last 31:3815 16 years we have carried that over 31:41and as i said i know of a lot of 31:43customers who don't even have 31:45a separate administrator to go 31:47administer their netizen box 31:48i've had customers call us say i think 31:51one of our disk drives needs replacement 31:52but we have no idea 31:53which data center on itizer box is 31:55sitting right so it's a true 31:57install it and forget about it type of 32:00system and that's what we have carried 32:01over 32:02going to neriza performance server is 32:04the true 32:05zero risk option it's not only from a 32:07cost saving 32:08option it is zero administration ease of 32:11use 32:12simplicity all of those things it's it's 32:15one of the best edw's out there 32:17mike any final thoughts before we uh 32:20wrap up this webinar today 32:22yeah i mean i think i would would close 32:24with just really a market 32:25observation spending a lot of time with 32:28the customers 32:29you know what's really emerged in my 32:31mind right now with the edw 32:33market is that it's a tangible thing 32:36right 32:37the notion of modernization everybody's 32:39got a different definition of what 32:41modernization 32:42is or isn't etcetera right and 32:44everyone's going to take credit for some 32:46level of modernization 32:48but the idea of an edw is very tangible 32:50right there's a start and there's a 32:52finish and there's an evolution 32:54to what it is and what it's doing so 32:56therefore 32:57you know i'm seeing a tremendous amount 33:00of 33:00quote-unquote modernization is nailing 33:03use cases 33:04like data warehousing that are very 33:06definable we understand costs we 33:08understand activity we understand 33:10processes etc so it's a really exciting 33:13time for data warehousing right 33:15it's it's definable it's tangible and 33:18therefore 33:18it's at the front end of modernization 33:21whatever that might mean to you 33:23so it's a great conversation um the 33:26netezza base couldn't be more charged up 33:28uh some of the best conversations most 33:30happy conversations i've had in the last 33:3210 years 33:34i've been in the last year when we've 33:36reintroduced the uh the netezza engine 33:38and you see these size relief and 33:41gratitude etc that we found a way to 33:43bring it back 33:44um so it's just a really energetic time 33:47for data warehousing in general and uh 33:49and then the teaser base is 33:51charged up mike vikram thank you so much 33:54for your time today and for those of you 33:55who have tuned in to watch thank you so 33:57much and if you're interested 33:59here's our contact information and some 34:01webpages for you to find out more 34:02information 34:03from all of us at silicon valley lab 34:05thank you again 34:07thank you thank you 34:22[Music] 34:37you