ibm: All content tagged as ibm in NoSQL databases and polyglot persistence
Update: I’d like to thank the people that pointed out in the comment thread that I’ve messed up quite a few aspects in my comments about the report. I don’t believe in taking down posts that have been out for a while, so please be warned that basically this article can be ignored.
Thank you and my apologies for those comments that were a misinterpretation of the report..
This is the Q1 2014 Forrester Wave for Hadoop:
A couple of thoughts:
Cloudera, Hortonworks, MapR are positioned very (very) close.
- Hortonworks is position closer to the top right meaning they report more customers/larger install base
MapR is higher on the vertical axis meaning that MapR’s strategy is slightly better.
For me, MapR’s strategy can be briefly summarized as:
- address some of the limitations in the Hadoop ecosystem
- provide API-compatible products for major components of the Hadoop ecosystem
- use these Apache product (trade marked) names to advertise their products
I think the 1st point above explains the better positioning of MapR’s current offering.
Even if Cloudera has been the first pure-play Hadoop distribution it’s positioned behind behind both Hortonworks and MapR.
IBM has the largest market presence. That’s a big surprise as I’m very rarely hearing clear messages from IBM.
IBM and Pivotal Software are considered to have the strongest strategy. That’s another interesting point in Forrester’s report. Except the fact that IBM has a ton of data products and that Pivotal Software is offering more than Hadoop, I don’t know what exactly explains this position.
The Forrester report Strategy positioning is based on quantifying the following categories: Licensing and pricing, Ability to execute, Product road map, Customer support. IBM and Pivotal are ranked the first in all these categories (with maximum marks for the last 3). As a comparison Hortonworks has 3/5 for Ability to execute — this must be related only to budget; Cloudera has 3/5 for both Ability to execute and Customer support.
Pivotal is the 3rd last in terms of current offering. I guess my hypothesis for ranking Pivotal as 1st in terms of strategy is wrong.
Microsoft who through the collaboration with Hortonworks came up with HDInsight, which basically enabled Hadoop for Excel and its data warehouse offering, it positioned the 2nd last on all 3 axes.
No one seems to love Microsoft anymore.
While not a pure Hadoop player, DataStax has been offering the DataStax Enterprise platform that includes support for analytics through Hadoop and search through Solr for at least 2 years. That’s actually way before anyone else from the group of companies in the Forrester’s report had anything similar1.
This report focuses only on “general-purpose Hadoop solutions based on a differentiated, commercial Hadoop distribution”.
You can download the report after registering on Hortonwork’s site: here.
DataStax is my employer. But what I wrote is a pure fact. ↩
Original title and link: The Forrester Wave for Hadoop market ( ©myNoSQL)
From IBM to… IBM: The short, but complicated history of CouchDB, Cloudant, and a lot of other companies and projects
Damien Katz created CouchDB after working at IBM on Lotus Notes: CouchDB and Me. CouchDB went the Apache way. Then things got complicated…
On the West coast, Damien Katz and a team of committers created Couchio, later renamed to CouchOne, later merged with Membase to become Couchbase, which finally dropped CouchDB. Damien Katz left Couchbase.
East Coast, Cloudant took CouchDB and made it BigCouch. I thought that Cloudant will be the CouchDB company — and in a way it was. Cloudant put BigCouch on the cloud as a service and on GitHub as open source. BigCouch is supposed to get back into Apache CouchDB, but many months later this hasn’t materialized yet.
To complete the circle, today IBM announced signing an agreement to acquire Cloudant — news coverage on GigaOm, BostInno, TechCrunch. Which probably makes sense considering Cloudant’s relationship with SoftLayer and IBM’s $1 billion Platform-as-a-Service Investment, but less so if you consider the IBM and
Anyways, the future of Apache CouchDB is bright. Yep.
Original title and link: From IBM to… IBM: The short, but complicated history of CouchDB, Cloudant, and a lot of other companies and projects ( ©myNoSQL)
For the weekend reads, a paper authored by a reseach team from IBM:
Main Memory Map Reduce (M3R) is a new implementation of the Hadoop Map Reduce (HMR) API targeted at online analytics on high mean-time-to-failure clusters. It does not support resilience, and supports only those workloads which can fit into cluster memory. In return, it can run HMR jobs unchanged — including jobs produced by compilers for higher-level languages such as Pig, Jaql, and SystemML and interactive front-ends like IBM BigSheets — while providing significantly better performance than the Hadoop engine on several workloads (e.g. 45x on some input sizes for sparse matrix vector multiply). M3R also supports extensions to the HMR API which can enable Map Reduce jobs to run faster on the M3R engine, while not affecting their perfor- mance under the Hadoop engine.
The short answer is there is only one Apache Hadoop distribution.
The long answer is that there are many distributions that include Apache Hadoop or are claiming compatibility with Apache Hadoop.
The oldest and probably most popular: Cloudera’s Distribution of Hadoop (CDH)
The 100% open source: Hortonworks Data Platform.
The prioprietary: MapR.
The blue one: IBM InfoSphere BigInsights.
There’s also the version Facebook’s running on their cluster which includes Facebook Corona: a different approach to job scheduling and resource management.
But this list is not complete as it doesn’t include appliances featuring Hadoop. In this category we have:
- Oracle’s Big Data appliance featuring Cloudera’s Distribution of Hadoop
- Netapp’s Hadooplers
- EMC Greenplum DCA
- Teradata Aster Discovery Platform featuring Hortonworks’s Hadoop Data Platform
- Data Direct Networks (DDN)
I hope I didn’t miss any important ones1. As a conclusion for this list, my question is: who is actually benefiting from all these distributions?
I left aside for now Hadoop-as-a-Service. ↩
Original title and link: How Many Hadoops? ( ©myNoSQL)
A new motto could be “An appliance for every vertical”. IBM Netezza’s first is for retailers.
Original title and link: IBM Debuts Netezza Customer Intelligence Appliance ( ©myNoSQL)
My list of 8 most interesting companies for the future of Hadoop didn’t try to include anyone having a product with the Hadoop word in it. But the list from InformationWeek does. To save you 15 clicks, here’s their list:
- Amazon Elastic MapReduce
- EMC (with EMC Greenplum Unified Analytics Platform and EMC Data Computing Appliance)
- IBM (InfoSphere BigInsights)
- Informatica (for HParser)
Original title and link: 12 Hadoop Vendors to Watch in 2012 ( ©myNoSQL)
Just a quick recap:
- Cloudera: Oracle, Dell, NetApp
- Hortonworks: Microsoft
- MapR: EMC (integration with Greenplum HD)
Amazon doesn’t partner with anyone for their Amazon Elastic Map Reduce. And IBM is walking alone with the software-only InfoSphere BigInsights.
Original title and link: Partnerships in the Hadoop Market ( ©myNoSQL)