Aerospike's Innovation Agenda
summary
Aerospike Database 5.6 adds set indexes and expressions with read/write so queries and multi-ops execute in C on the server, moving processing closer to petabyte-scale data; Aerospike Connect for Spark now supports Spark 3 and aligns scans to thousands of workers so hundreds of terabytes can be processed in hours, speeding model training from days to hours or minutes. Other specifics: per-user transaction rate quotas, XDR replication between edge and core, JDBC/Presto/Kafka/Pulsar connectors, Kubernetes operator and a roadmap to revamp secondary indexes for correctness, pagination and PMEM/flash storage.
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chapters (11)
- 0:00Start
- 3:06Opening Keynote
- 7:36Auto Indexing of Objects in a Set
- 14:38Secondary Indexes
- 15:41Phase Three
- 16:38Secondary Index Storage Models
- 19:09Streaming Connectors
- 22:42Kubernetes Operator
- 24:36Rest Api Admin Library
- 25:20Customer Impact of these Innovations
- 27:27What's Aerospike's Position on Sql
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