The NoSQL Ecosystem
Introduction
- Wrong: trying to fit each NoSQL database in a pigeonhole
- Right: understanding the design decisions and tradeoffs made
- Products discussed: Cassandra, CouchDB, HBase, MongoDB, Neo4J, Redis, Riak, Scalaris, Tokyo Cabinet, Voldemort
Scalability
- Scaling reads vs scaling writes
- Adding (and removing) machines to a live cluster
- Multiple data centers
Operations
- Failure scenarios
- Monitoring
- Schema changes
Data and query model
- Key/Value
- ColumnFamily
- Document
- Graph
- More
Persistence design
- Affects both speed and features
- B-trees
- Memtable/SSTable
- Pluggability
People planning to attend this session also want to see:
Jonathan Ellis
DataStax
Jonathan is an expert in databases and distributed systems. At Mozy, he built a scalable multi-petabyte storage system based on Reed-Solomon encoding.
He currently works on the Cassandra distributed database and cloud infrastructure for Rackspace Hosting.
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Comments
this was a really nicely done overview – delivered on what was promised, good coverage of the subject. One of the better sessions and well worth my time to get a quick overview of the nosql space.
Interesting talk. Nice to have some info on the different projects summed up. Suggestion for another time – concrete examples (goals, projects, etc) of when one might choose each individual “NoSQL” solution.
when will the slides/video be available online?
Good intro to this topic. Hopefully you convinced some skeptics… wish NoSQL vs Relational wasn’t such a religious topic.