Comparing Accumulo, Cassandra, and HBase

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APIs / Frameworks Use Case


Organizations looking to use a NoSQL data store based on Big Table face a challenge when deciding between alternatives. Often superficial differences are overblown or worse, subtle differences aren't discovered until it's too late. In this talk we compare and contrast Apache Accumulo against Apache Cassandra and Apache HBase, diving deep into design differences and subtleties that may hinder a project only after reaching a certain amount of usage or data storage.


Aaron Cordova
Co-founder and CTO, Koverse
Aaron has built multiple, large-scale, big data systems that are used by the intelligence, defense, finance and healthcare industries. Aaron co-founded Koverse Inc. Prior to that, Aaron spent five years as a researcher for the National Security Agency (NSA) where he developed and deployed into operations dozens of advanced analytical techniques. He is the founder of Apache Accumulo, a scalable and secure data store on top of Apache Hadoop and the author of the recently released O’Reilly book, Accumulo: Application Development, Table Design, and Best Practices.