MapR: All content tagged as MapR in NoSQL databases and polyglot persistence
There are three things that I’d really appreciate some help understanding:
MapR says it is an Apache Hadoop distribution. Does any of the MapR products include the
While I know there’s no definition of such a thing, as far as I know self-claimed API compatibility is by no means the same thing as Apache Hadoop.
I’m also not aware of any action from ASF on this matter.
MapR says it’s the most complete distribution of Hadoop. The matrix below, from Kirill Grigorchuk’s summary of Altoros’s Hadoop Distributions: Cloudera vs. Hortonworks vs. MapR paper, doesn’t seem to confirm this.
MapR says it is committed to open source. I’ve checked the list of committers for Apache Hadoop, Apache HBase, Apache Pig, and Apache ZooKeeper and except Ted Dunning’s PMC role in Apache ZooKeeper, I couldn’t find any MapR employee listed.
Original title and link: Three questions about MapR and their products. ( ©myNoSQL)
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)
On one side:
and on the other side:
- Riak Searching: Solr-like but custom prioprietary implementation
- MongoDB text search: custom prioprietary implementation
I’m not going to argue about the pros and cons of each of these approaches, but I’m sure you already know which of these approaches I’m in favor of.
Original title and link: NoSQL and Full Text Indexing: Two Trends ( ©myNoSQL)
Where is MapR today?
- MapR raised a total of $59mil.
- According to John Schroeder (CEO) “92% of MapR customers pay primarely for licenses and not for ancillary services and support”.
- According to Wikibon, MapR had $23mil. revenue in 2012, 49% of which coming from services (nb: this seem to contradict the above point)
- Support for MapR installations is offered by Accenture and Booz Allen Hamilton
How will MapR use the new capital?
With the new funding, the company plans to invest in research & development, and expand into Asia.
How is MapR seeing its competitors?
John Schroeder (CEO):
“Our competitors’ model is very cash intensive and you have to wonder whether or not they’ll ever be cash-flow positive”.
Cloudera has raised until now $141mil:
- Series A: $5mil
- Series B: $6mil
- Series C: $25mil
- Series D: $40mil
- Series E: $65mil
According to this, Cloudera raised $36mil in the first 3 rounds. I couldn’t find any official data about the capital raised by Hortonworks, but the number I’ve seen in a couple of places is $50mil. So far MapR raised $59mil.
Sources for these bits:
- VentureBeat: MapR gets $30M to push Hadoop deeper into the enterprise
- AllThingsD: MapR Lands $30 Million Series C Led by Mayfield Fund - Arik Hesseldahl - Enterprise - AllThingsD
- CrunchBase: Cloudera | CrunchBase Profile
- Wikibon: Big Data Vendor Revenue And Market Forecast 2012-2017 - Wikibon
Original title and link: MapR Raises $30mil in Series C ( ©myNoSQL)
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)
MapR is definitely up to some interesting partnerships. Last year it announced a partnership with EMC for Greenplum HD Enterprise Edition, then this year MapR became available on Amazon Elastic MapReduce and Google Compute Engine. And today MapR and Drawn to Scale, creator of the real-time database for Hadoop Spire, are announcing a new partnership.
Bradford Stephens (CEO, Drawn to Scale):
MapR provides the fastest, most reliable Hadoop for our customers. We are thrilled to work with MapR to deliver M3 as part of Spire as the first real-time database for Hadoop.
Jack Norris (VP of marketing, MapR Technologies):
Real-time SQL on Hadoop is a big gap in the market that is addressed by Spire. Spire is a complementary solution to our products and it made sense to work with Drawn to Scale to make it easier for customers to deploy M3, pre-integrated with Spire, for real-time SQL-based workloads.
It might sound strange coming from me, but MapR is making quite some big steps towards becoming the de facto standard for Hadoop. I’m looking forward to seeing the reactions from Cloudera and Hortonworks.
Original title and link: MapR’s New Partnership With Drawn to Scale ( ©myNoSQL)