Apache Accumulo vs Apache HBase

Apache Accumulo is a free, open-source sorted, distributed key/value store for storing and retrieving large datasets across a cluster. It uses Apache Hadoop HDFS for data storage and Apache ZooKeeper for consensus. Each key/value pair can carry a security label, so query results can be restricted according to a user’s authorizations. Accumulo Iterators can modify key/value pairs at different stages of data management. Clusters can use one or more HDFS instances, and nodes can be added or removed as stored data changes. The project says its client API follows Long Term Maintenance releases and semantic versioning, and that each release undergoes extensive testing. The software is licensed under Apache License, Version 2.0. The downloads page lists source and binary archives for versions 4.0.0-alpha-1, 3.0.0, and 2.1.6; the project identifies 4.0.0-alpha-1 as alpha and says alpha or beta releases are not production ready. General questions can go to the user mailing list, while the dev list serves contributor discussions. An interactive tour teaches the Java API through exercises and is designed for Accumulo 2.1.x or greater.

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.