Transactions and Analytics with VoltDB’s Ryan Betts

Streaming pipelines and in-memory analytics are difficult to support with old database systems.

VoltDB provides streaming analytics with transactions.

Questions

• How does VoltDB exemplify Michael Stonebraker’s thesis that one size does not fit all?
• What is the difference between OLTP and Streaming?
• How does VoltDB serve the common Zookeeper-Kafka-Storm-Cassandra stack?
• What trends and requirements among OLTP and OLAP systems are changing most rapidly?
• How does VoltDB’s push-based export functionality enable a data lifecycle ecosystem?

Links

• “One Size Fits All: An Idea Whose Time Has Come And Gone” by Michael Stonebraker
• H-Store: A High Performance, Distributed Main Memory Transaction Processing System
• How VoltDB Does Transactions
• John Hugg from VoltDB talks about architecture, CEP systems, and newer streaming architectures