16 Top Big Data Analytics Platforms - InformationWeek

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1/30/2014
09:06 AM
Doug Henschen
Doug Henschen
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16 Top Big Data Analytics Platforms

Data analysis is a do-or-die requirement for today's businesses. We analyze notable vendor choices, from Hadoop upstarts to traditional database players.
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Actian builds big-data portfolio 
 
Analytical DBMS: Actian Matrix (formerly ParAccel), Actian Vector (formerly Vectorwise). 
In-memory DBMS: Actian Matrix In-Memory Option (data stored to both memory and disk). 
Hadoop distribution: None.  
Stream-processing technology: None. 
Hardware/software systems: None (software-only vendor).
Ingres Corp. took the name Actian in 2011, and the company has been fleshing out a big-data portfolio ever since. Building on the 10,000+ customer base of Ingres, the open-source transactional database, the company expanded with Vectorwise, a fast analytical database management system (DBMS) now called Actian Vector. It also acquired Versant, the vendor behind the eponymous object database; and Pervasive, maker of DataRush analytics-on-Hadoop and data-integration software now called Actian DataFlow. The April 2013 acquisition of ParAccel marked an even bigger push into big-data analytics with a massively parallel processing DBMS now called Actian Matrix.
The company is counting on the combination of fast, analytical DBMS options, cloud services, and data-integration and -analytics software geared to a world in which Hadoop is a prominent fixture of the data-management architecture. Actian DataFlow includes SQL-, ETL-, and data-cleansing-on Hadoop options that work with distributions from Apache, Cloudera, Hortonworks, and others. With $140 million in revenue and much more to its story than a DBMS, Actian is a bantam-weight player in the big-data market.

Actian builds big-data portfolio

Analytical DBMS: Actian Matrix (formerly ParAccel), Actian Vector (formerly Vectorwise).
In-memory DBMS: Actian Matrix In-Memory Option (data stored to both memory and disk).
Hadoop distribution: None.
Stream-processing technology: None.
Hardware/software systems: None (software-only vendor).

Ingres Corp. took the name Actian in 2011, and the company has been fleshing out a big-data portfolio ever since. Building on the 10,000+ customer base of Ingres, the open-source transactional database, the company expanded with Vectorwise, a fast analytical database management system (DBMS) now called Actian Vector. It also acquired Versant, the vendor behind the eponymous object database; and Pervasive, maker of DataRush analytics-on-Hadoop and data-integration software now called Actian DataFlow. The April 2013 acquisition of ParAccel marked an even bigger push into big-data analytics with a massively parallel processing DBMS now called Actian Matrix.

The company is counting on the combination of fast, analytical DBMS options, cloud services, and data-integration and -analytics software geared to a world in which Hadoop is a prominent fixture of the data-management architecture. Actian DataFlow includes SQL-, ETL-, and data-cleansing-on Hadoop options that work with distributions from Apache, Cloudera, Hortonworks, and others. With $140 million in revenue and much more to its story than a DBMS, Actian is a bantam-weight player in the big-data market.

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shane88
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shane88,
User Rank: Apprentice
10/9/2017 | 5:35:16 AM
Re: It's time for this update
This tool might also help: JSON formatter. Have a nice day!
UrvashiS073
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UrvashiS073,
User Rank: Apprentice
4/27/2017 | 1:30:45 PM
IRI Voracity

I would add to this list IRI Voracity, the big data discovery, integration, migration, governance, and analytics platform introduced in 2016 to address the performance, security, quality, complexity and cost issues in legacy vendor and speciality tools.

eyu906
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eyu906,
User Rank: Strategist
1/6/2015 | 12:36:09 PM
Drill-downs?
Dell Boomi is the #1 cloud integration platform.  Are you going to drill down to help users regarding technology strategy?
KenB037
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0%
KenB037,
User Rank: Apprentice
9/24/2014 | 10:27:52 PM
Great article! When is the next update?
Super overview article! I realize that it will be a lot of work, but it would be great if you decide to write an update sometime time soon.  I am already looking forward to it!
LesterK048
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100%
LesterK048,
User Rank: Apprentice
8/8/2014 | 2:51:40 AM
Re: It's time for this update
A smaller company which can process big JSON data for easier visualization is json-csv.com. You may want to check it out.
bigdatarelated
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50%
bigdatarelated,
User Rank: Apprentice
4/23/2014 | 11:24:38 AM
Re: A collection of marketing flyers from 16 vendors
Great article. I've added a link to it from  Bigdatarelated, a free big data community resource website.
Akon786
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Akon786,
User Rank: Apprentice
2/20/2014 | 6:39:55 AM
Bedrock Data Management Platform 2.0
Comprehensive and well rounded article.

Where does Bedrock Data Management Platform 2.0 figure in the game?
D. Henschen
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50%
D. Henschen,
User Rank: Author
2/11/2014 | 1:28:26 PM
Re: Bravo
Thanks, Wayne. Coming from such an esteemed expert, I'm flattered.
weckerson
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weckerson,
User Rank: Apprentice
2/6/2014 | 4:33:06 PM
Bravo
Doug, 

Well done. This is a ton of work and well done! A great resource. 

 

Wayne
D. Henschen
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D. Henschen,
User Rank: Author
2/5/2014 | 9:18:53 AM
Re: What about Personalized Big Data Analytics?
Analytics tools and BI systems run on servers, but these systems are generally not scaled to handle big data. More often than not, these systems draw data from data warehouses or data marts. Increasingly, a larger-scale "platform" such as a massively parallel processing (MPP) database management system or Hadoop cluster is required to handle the volume and variety of data. Some analytics vendors, notably SAS but including others, are developing their own in-memory cluster software or implementations on top of Hadoop, but the vast majority of clients use analytics and BI software in combination with data-management platforms from third-party vendors like those covered in the collection above.

Confusing matters, many vendors above offer analytic capabilites -- IBM has SPSS and Cognos; SAP has BusinessObjects and Predictive Analysis; Oracle, Pivotal, and Teradata tap advanced SQL analytics, R and various partnerships with analytics vendors including SAS, etc. -- but they're not included in this collection because of those capabilites.

There are many options for smaller companies -- including cloud, price-competitive upstart vendors, and open source options. But where this is great data volume, variety, and velocity, there's a need for a high-scale platform or platforms to serve as the place where the analysis gets done (as with in-database or in-Hadoop analytics) or as the place from which subsets of data are drawn or analyzed (as in the case of Hadoop or data warehouse integration).

 
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