Hive: All content tagged as Hive in NoSQL databases and polyglot persistence
According to the official documentation, Brisk key advantages:
- No single point of failure
- streamlined setup and operations
- analytics without ETL
- full integration with DataStax OpsCenter
I just heard the announcement DataStax, the company offering Cassandra services, made about Brisk a Hadoop and Hive distribution built on top of Cassandra:
Brisk provides integrated Hadoop MapReduce, Hive and job and task tracking capabilities, while providing an HDFS-compatible storage layer powered by Cassandra.
Brisk was announced officially during the MapReduce panel at Structure Big Data event. But it looks like others have already had a chance to hear about Brisk — is there something that I should be doing to hear the “unofficial” announcements?
DataStax has also made available a whitepaper: “Evolving Hadoop into a Low-Latency Data Infrastructure: Unifying Hadoop, Hive and Apache Cassandra for Real-time and Analytics” that you can download from here
Jeremiah Peschka put together two short videos demoing Toad for Cloud Eclipse plugin with Hive and HBase. Those complaining about lack of SQL in NoSQL databases should check it out. On a different note though, I did express a few concerns about such a tool related to the complexity and performance of building the indirection layer and supporting operations that are not native to target system. I’d add to these the fact that some NoSQL databases are continuously adding features that can radically change the way this tool performs (e.g. Cassandra 0.7 will feature secondary indexes).
Hive and Toad for Cloud
HBase and Toad for Cloud
Looking at how slow the tool performs and the fact that it doesn’t have any sort of results pagination seems to be a confirmation of some of the concerns expressed above. On the other hand it is kind of difficult to understand a tool by just watching a video.