This blip is not on the current edition of the Radar. If it was on one of the last few editions, it is likely that it is still relevant. If the blip is older, it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar.Understand more
Jul 2014
TrialWorth pursuing. It is important to understand how to build up this capability. Enterprises should try this technology on a project that can handle the risk.
Hive is a data warehouse built on top of Hadoop which provides a SQL-like query and data definition language. Hive converts queries into MapReduce jobs that can be run across the entire Hadoop cluster. Like all useful abstractions, Hive does not try to deny the existence of the underlying mechanics of Hadoop and supports custom map-reduce operations as a powerful extension mechanism. Despite the superficial similarities to SQL, Hive does not try to be a replacement for low-latency, real-time query engines found on relational database systems. We strongly advise against using Hive for online ad-hoc querying purposes.
Jan 2014
TrialWorth pursuing. It is important to understand how to build up this capability. Enterprises should try this technology on a project that can handle the risk.