DataStax introduces a Cassandra-based Hadoop distribution called Brisk
Cassandra company DataStax is introducing a Hadoop distribution called Brisk, for use cases that combine short-request and analytic processing. Brisk in essence replaces HDFS (Hadoop Distributed File System) with a Cassandra-based file system called CassandraFS. The whole thing is due to be released (Apache open source) within the next 45 days.
The core claims for Cassandra/Brisk/CassandraFS are:
- CassandraFS has the same interface as HDFS. So, in particular, you should be able to use most Hadoop add-ons with Brisk.
- CassandraFS has comparable performance to HDFS on sequential scans. That’s without predicate pushdown to Cassandra, which is Coming Soon but won’t be in the first Brisk release.
- Brisk/CassandraFS is much easier to administer than HDFS. In particular, there are no NameNodes, JobTracker single points of failure, or any other form of head node. Brisk/CassandraFS is strictly peer-to-peer.
- Cassandra is far superior to HBase for short-request use cases, specifically with 5-6X the random-access performance.
There’s a pretty good white paper around all this, which also recites general Cassandra claims — [edit] and here at last is the link.
| Categories: Cassandra, DataStax, Hadoop, HBase, MapReduce, Open source | 3 Comments |
Hadapt (commercialized HadoopDB)
The HadoopDB company Hadapt is finally launching, based on the HadoopDB project, albeit with code rewritten from scratch. As you may recall, the core idea of HadoopDB is to put a DBMS on every node, and use MapReduce to talk to the whole database. The idea is to get the same SQL/MapReduce integration as you get if you use Hive, but with much better performance* and perhaps somewhat better SQL functionality.** Advantages vs. a DBMS-based analytic platform that includes MapReduce — e.g. Aster Data — are less clear. Read more