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Re: What about Personalized Big Data Analytics?
Once, again, as I've pointed out to others who didn't read the introduction, these are big data anaytics platforms -- the relational databases (for warehouses and marts) and Hadoop platforms that are the underpinning for the vast majority of analytic persuits. As pointed out in the introduction, this is not about pure analytics vendors such as SAS, Alpine Data Labs, Revolution Analytics, the whole R community or, for that matter, more BI-focused vendors such as Actuate, QlikTech, Tableau, MicroStrategy, etc. Nor is it about NoSQL and NewSQL databases, which are predominatly (though not exclusively) used to run high-scale transactional applications.
What about Personalized Big Data Analytics?
Like the other comments inquired, how were these determinations made regarding the top 16 Big Data Analytics Platforms? What data was used? (Was it based on scalability factors or the number of companies in an industry that used it?) Why wasn't Actuate included? I find this fascinating especially since the BIRT Analytics software, and BIRT reporting software is used for big data analytics. Hortonworks, Actian, and Amazon web services have partnered with Actuate for big data deployments and they use BIRT technology. Do you have feedback from the business users and the end users comparing their experiences with the platforms? I am just curious what that kind of data looks like. How does the security of the data and the scalability come into play when evaluating these platforms? What about the time it takes to implement the platforms and get everyone trained in using them--was that a factor? What makes some better than others aside from the purpose of their use? I really appreciate articles that provide this kind of side by side comparison, and I would like to see more of it in the future. I wonder how small to medium busineses handle this big kind of technology though. Big enterprises definitely need these big platforms. Thank you for your article. I look forward to reading more. :)
Re: A collection of marketing flyers from 16 vendors
Excellent take, Raj. The likes of IBM, Oracle and Teradata have certainly checked the Hadoop box, but I wonder how hard they push it or whether they try to keep it in a high-scale storage role while favoring their incumbent technologies for the analysis. Cloudera and MapR are saying you can do more and challenge incumbent technologies while Hortoworks holds short of such bold claims -- clearly not wanting to challenge partners Microsoft, Teradata and SAP. The independent DBMS vendors have various strategies and capabilities around working with Hadoop, and they generally don't challenge EDW vendors -- only the high-scale data mart/analytics opportunity. All of these vendors offer "Big Data Analytics Platforms," but they're coming at it from secular angles.
Re: Important Big Data Context
Hi Laurianne, as mentioned in another post, Doug's article provides a useful analysis of the Big Data marketplace from a platforms perspective. Since we are still in the infancy of BD (vs BI), the market is changing rapidly and there will be significant consolidation in the next year or two (acquisitions of small players by the giants). I predict that the largest beneficial use of BD will be for machine learning through the Internet of Things (sensors, etc). There are currently only a small number of players focusing on this aspect of BD. It will be interesting to track the development of Hadoop specifically whether companies go pure open source ala Hortonworks or veer more towards proprietery. I suspect the latter.
Raj
Raj
Re: A collection of marketing flyers from 16 vendors
Srini/Doug, I have been involved in coming up with my company's Big Data strategy including a BDaaS offering and go-to-market stategy. My research including deep dive sessions (architecturally, technically and commercially) with many of the players listed here indicate the same findings as Doug's article. Each vendor approaches the problem from their own perspective based on their previous expertise (e.g. hardware specialisation like HP, storage perspective like EMC/Pivotal, pureplay DB/analytics, etc). Some like IBM and Oracle have thrown billions of $$ at the problem, but mostly use BD as pull through for HW/SW sales. There are relatively a small number of pure BD companies like Palantir. Most are glorified BI specialists jumping on the BD bandwagon who cannot go one level below their vaporware. There seems to be a gap in the market for a end-to-end offering which is technology independent. Very difficult to achieve and implement this since it it the large players who keep up better with the changing landscape. So overall, a good high level analysis Doug which allows interested parties to narrow down the playing field before commencing more deep dive analysis.
Raj
Raj
Re: A collection of marketing flyers from 16 vendors
Doug - What I meant by 2006 was not the freshness of the information presented, but the fact that big data is a household term (of sorts) and an authoritative article in this space at 2014 needs more depth and breadth.
With respect to the comparison on Analytic DBMS, In-memory etc, it was a good metric but a bad choice for this post. In fact, it would have been good if it was a single matrix comparing the 16 technologies (and a few more) against these options (and a few more). Still, I am not able to find out who your intended audience was. It seems to be catering to management, tech, architects and infrastructure admins partially but none fully :(
Neverthess, I apologize for coming out strong on you. Take it as constructive criticism, if you can :)
Cheers
Srini
With respect to the comparison on Analytic DBMS, In-memory etc, it was a good metric but a bad choice for this post. In fact, it would have been good if it was a single matrix comparing the 16 technologies (and a few more) against these options (and a few more). Still, I am not able to find out who your intended audience was. It seems to be catering to management, tech, architects and infrastructure admins partially but none fully :(
Neverthess, I apologize for coming out strong on you. Take it as constructive criticism, if you can :)
Cheers
Srini
Re: A collection of marketing flyers from 16 vendors
Srini, Thanks for your comments. Actian, Cloudera, Hortonworks, MapR, and Pivotal didn't exist in 2006, and most have arrived since 2010. Among the giants, IBM, Microsoft, Oracle, SAP and Teradata have only added support for Hadoop in the last two to three years. "Connecting elements" across all 16 include insight on their offerings for analytical DBMS, in-memory options, streaming options, Hadoop distributions, and hardware/software appliances. And if you read each analysis, I think that you'll find that it's far from a regurgitation of marketing brochures. There are plenty of insights into strategy, market approach, strengths and weaknesses and more.
A collection of marketing flyers from 16 vendors
This is a shallow post to introduce a newbie to a biased view of what is available in the market (on Hadoop and it's related technology) if you want to venture into big data. Instead of sitting through a marketing presentation of each of these vendors, or going through their websites, you can see it here. I would have personally preferred the links to the home page of these technologies. It doesn't seem to take an unbiased approach on merits and pitfalls. Why would you choose one over the other. A comparison on the technologies based on its focus (which of the VVV that it attacks), what is the TCO, quantifying the BIG and qualifying the ANALYTICS in big data analytics. Both Cloudera and Hortonworks are there. We have HP and IBM too and AWS... meh! Could have included some SAN storage providers too :) There seems to be no plane for comparison. There is no connecting element between pages. I would have liked a better organization of thoughts.
This would have been a ground breaking post in 2006. But now.. pass!
-Srini
This would have been a ground breaking post in 2006. But now.. pass!
-Srini
Read the introduction
This is about platforms for big-data analysis -- as in DBMSs and Hadoop - and I state very clearly in the intro that it does not address analytics companies -- SAS, Qlik, and others you mention -- that focus almost entirely on analytics alone and that tend to work with these platforms. Nor does this address NoSQL or NewSQL databases, which we'll address in a separate collection.
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2/5/2014 | 12:43:38 AM
Thank you for the side by side breakdowns of each platform.