MongoDB: Now with Hive compatibility
10gen has added some new features to its MongoDB connector for Hadoop, including support for Hive and the ability to backup MongoDB files in HDFS.
10gen has added some new features to its MongoDB connector for Hadoop, including support for Hive and the ability to backup MongoDB files in HDFS.
Data scientists might be capable of getting valuable insights out of Hadoop, but that can’t be said of all salespeople. An engineer at TripAdvisor came up with a way to change that.
Competition is feisty in the land of commercial Hadoop distributions, and a $50 million in venture capital re-up looks like it could come in handy for Hortonworks.
While the rest of the Hadoop world is trying to distance itself from Hive with new interactive engines, Hortonworks is trying to make it faster. It might actually be a sound strategy.
Cloudera’s Impala engine for interactive SQL queries on Hadoop data is now generally available, and CEO Mike Olson gives his lay of the competitive landscape.
Hadoop experts Qubole have just closed a Series A funding round for their service, which lets users run Hive data warehouse jobs in Amazon’s cloud.
Sure, more data scientists would be great. But Scott Brave, of Baynote, says the better solution is to create analytics products that are so easy to use that you don’t even need a data scientist.
Two key members of the Facebook team that created the Hadoop query language Hive are launching their own big data startup called Qubole on Thursday. Qubole is a managed version of Hive that’s hosted on the Amazon Web Services cloud computing infrastructure.
Social and mobile analytics startup Kontagent has expanded its business to include a data-mining service powered by Hive, the SQL-like interface for querying data stored within Hadoop. It’s a smart move by the company, and one that other cloud-based analytics providers would be wise to replicate.
Matt Howard of Norwest Venture Partners predicts that 2012 and 2013 will be Hadoop’s breakout years. Howard gives us insight into the five factors that will accelerate Hadoop’s mainstream adoption over the next 18 months.