Apache HBase vs Azure Table Storage

Apache HBase is a distributed data store for applications that need random, real-time reads and writes with strict consistency. It runs on Hadoop and HDFS, with automatic failover and sharding, and is designed to scale across commodity clusters. The project describes hosting tables with billions of rows and millions of columns. Clients can connect through a Java API or REST and Thrift gateways. Highlighted workloads include time-series and metrics, IoT telemetry, ad tech and personalization, message and audit logs, security analytics, and genomics and research. HBase is free and self-hosted, with Linux and API platforms listed; version 3.0.0 is listed as a release artifact. Operators must configure authentication and authorization because the default configuration does not enable them. Security guidance covers Kerberos, SASL, access control lists, visibility labels, and optional TLS, and recommends keeping services within a trusted network perimeter rather than exposing them to the public internet. Operating a distributed deployment requires systems, software, and networking skills.

Azure Table Storage has no write-up on Specifiction yet; its figures are above.