The Hadoop Database
A distributed, scalable, big data store for random, realtime read/write access.
A distributed, scalable, big data store for random, realtime read/write access.
Linearly scalable, consistent, and proven for large-scale workloads.
Host massive tables with billions of rows and millions of columns on commodity clusters.
Get random, realtime read/write access with strictly consistent operations.
Bigtable-like capabilities on top of Hadoop and HDFS with automatic failover and sharding.
Java client, REST and Thrift gateways, server-side filters, Bloom filters, and more.
Battle-tested patterns where HBase excels.
High-ingest, append-mostly workloads with predictable access patterns.
Massive device streams stored by time and entity with scalable reads.
Low-latency serving of profiles, events, and counters at scale.
Immutable logs and audit trails with efficient range scans.
Store and query security events for investigation and alerting.
Columnar, sparse data sets with large key spaces.
HBase is a top-level Apache project with an active community of users and contributors. Join discussions, read the reference guide, and help shape the roadmap.
From download to production in a few simple steps.