Changelog Master Feed

NoSQL Smackdown! (Changelog Interviews #18)


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While at SXSW Interactive, Adam and Wynn got to attend the Data Cluster Meetup hosted by Rackspace and Infochimps. Things got a bit rowdy when the panel debated features of Cassandra, CouchDB, MongoDB and Amazon SimpleDB and started throwing dirt at everybody else’s favorite NoSQL databases.

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Featuring:

  • Adam Stacoviak – Website, GitHub, LinkedIn, Mastodon, X
  • Wynn Netherland – GitHub, X

Show Notes:

The videos mentioned are dead to the internet, thanks to Blip.tv.

The participants:

  • Stu Hood from Cassandra
  • Jan Lehnardt from CouchDB
  • Wynn Netherland from The Changelog, subbing for MongoDB
  • Werner Vogels CTO at Amazon
  • Items mentioned in the discussion:

    • Cassandra The Apache Cassandra Project brings together Dynamo’s fully distributed design and Bigtable’s ColumnFamily-based data model and powers some of the world’s largest sites.
    • CouchDB Apache,CouchDB is a distributed, fault-tolerant and schema-free document-oriented database accessible via a RESTful HTTP/JSON API.
    • MongoDB Combining the best features of document databases, key-value stores, and RDBMSes.
    • Amazon SimpleDB a highly available, scalable, and flexible non-relational data store that offloads the work of database administration.
    • Dynamo Dynamo is a highly available, proprietary key-value structured storage system that powers parts of Amazon Web Services.
    • Amazon S3 Amazon S3 is storage for the Internet. It is designed to make web-scale computing easier for developers.
    • Persevere Persevere helps you rapidly develop data-driven JavaScript-based rich internet applications.
    • Redis Redis is an advanced key-value store. It is similar to memcached but the dataset is not volatile, and values can be strings, exactly like in memcached, but also lists, sets, and ordered sets.
    • Neo4j Neo4j is a graph database. It is an embedded, disk-based, fully transactional Java persistence engine that stores data structured in graphs rather than in tables.
    • Special thanks to @jchris for the awesome CouchDB theme song!

      Something missing or broken? PRs welcome!

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