NoSQL Benchmarks NoSQL use cases NoSQL Videos NoSQL Hybrid Solutions NoSQL Presentations Big Data Hadoop MapReduce Pig Hive Flume Oozie Sqoop HDFS ZooKeeper Cascading Cascalog BigTable Cassandra HBase Hypertable Couchbase CouchDB MongoDB OrientDB RavenDB Jackrabbit Terrastore Amazon DynamoDB Redis Riak Project Voldemort Tokyo Cabinet Kyoto Cabinet memcached Amazon SimpleDB Datomic MemcacheDB M/DB GT.M Amazon Dynamo Dynomite Mnesia Yahoo! PNUTS/Sherpa Neo4j InfoGrid Sones GraphDB InfiniteGraph AllegroGraph MarkLogic Clustrix CouchDB Case Studies MongoDB Case Studies NoSQL at Adobe NoSQL at Facebook NoSQL at Twitter



Hadoop market: All content tagged as Hadoop market in NoSQL databases and polyglot persistence

Hortonworks raises $100M to grow engineering and company's ecosystem globally

Derrick Harris for GigaOm has the scoop:

Hadoop vendor Hortonworks has raised $100 million in a new round of venture capital led by BlackRock and Passport Capital. The company’s existing investors — Dragoneer, Tenaya Capital, Benchmark, Index Ventures and Yahoo — also participated in the latest round. Hortonworks CEO Rob Bearden said in an interview that the new funding will help Hortonworks scale its engineering efforts, grow the company’s ecosystem and scale its global operations.

Last week’s round E for Cloudera turned up to be $160 instead of the Bloomberg rumored $200.

These big rounds raised by the Hadoop pure-players are a confirmation of the Hadoop market. But I also think they can be explained by the tough competition Cloudera and Hortonworks are facing from large corporations like IBM, Teradata, Oracle, Microsoft. At least in terms of budget.

✚ While some of the above mentioned companies are partnering with at least one pure-play Hadooper — Cloudera, Hortonworks, MapR — that doesn’t mean they are not keeping an eye on the prize.

Original title and link: Hortonworks raises $100M to grow engineering and company’s ecosystem globally (NoSQL database©myNoSQL)


Hadoop Is the New Tape

John Webster for CNET:

There’s a debate going on within the Hadoop community regarding the need for better responsiveness from Hadoop developers. Known issues with Apache Hadoop need to be addressed more quickly. The user learning curve needs to be concatenated. There are other knocks too. All of which leads some people to believe that Hadoop is merely a bridge to some better, future platform. Me? I’m in the definite maybe camp. I do see an opportunity for Hadoop implementations with applications built on top that would address the user elongated learning curve issue.

Maybe Hadoop is a just a bridge put together with rubber bands, but there’s no way I could say it better than Jeff Darcy:

“The fact that something put together with rubber bands and chewing gum has succeeded so well is validation of the idea that terrific ideas trump mundane implementations. It’s the next step after writing on napkins. Certainly one might hope that the rubber bands and chewing gum will be replaced with custom manufactured belts and industrial adhesives at some point, and I for one find it a bit annoying how the hype has outrun progress toward that goal, but I’ll take something that works with ugly code over something that’s all “industrial strength” only in someone’s head any day…

Original title and link: Hadoop Is the New Tape (NoSQL database©myNoSQL)


JavaScript Console and Excel Coming to Hadoop

Eric Baldeschwieler about the Hortonworks and Microsoft partnership for bringing Apache Hadoop to Windows:

What makes this announcement significant is that Microsoft is opening up Apache Hadoop to literally millions of new users. There are millions of JavaScript developers that can now leverage the power of Apache Hadoop. There are many more millions of Excel and PowerPivot users that can also now derive value from Apache Hadoop using software is that already very familiar to them. Simply put, these contributions by Microsoft will extend Apache Hadoop to the most prolific data analysis tools in the world.

Me, back in January, after taking a look at Hadoop on Windows Azure:

The JavaScript console and the visualization support are very nice additions on top of the managed Hadoop on Azure.

Feature checklists are still important, but technology adoption depends more and more on the user experience. Think of getting up to speed as being the first impression someone gets of a new technology.

Think of integration with familiar tools and frameworks as a huge adoption accelerator.

Original title and link: JavaScript Console and Excel Coming to Hadoop (NoSQL database©myNoSQL)