ActorDB vs IBM Db2

ActorDB is an open-source distributed relational SQL database from Biokoda that organizes data into independent actors. SQLite handles SQL queries and LMDB provides storage. Applications connect through the MySQL protocol or Thrift, and the FAQ recommends Thrift; default MySQL drivers also work. ActorDB uses Raft for distributed consensus and write replication, and describes itself as strongly consistent. Transactions can span multiple actors and are described as ACID compliant. It can also provide a sharded key-value store with structured values, multiple columns, and foreign tables. The maker says horizontal scaling can reach hundreds of nodes and petabytes when data is spread across actors. If a server fails, a follower can lead an actor while a cluster majority remains online. Recommended cluster sizes are 1, 3, or 5 nodes. Supported downloads include Windows, Mac OS X, CentOS, and Ubuntu, with version 0.10.29 dated 1 October 2019 shown as the latest stable release.

IBM Db2 is a database for low-latency transactions, real-time analytics, and mission-critical workloads. It supports transactional, analytical, and operational work on the same database and can feed Db2 Warehouse and watsonx.data. AI-powered query optimization uses historical query patterns to adjust execution plans and automate tuning. Db2 12.1.2.0 adds a VECTOR type and SQL vector-distance queries for semantic search, retrieval-augmented generation, and recommendation systems. Db2 pureScale supports continuous availability on premises or in the cloud, with Pacemaker integration. Security features include access controls, encryption in transit and at rest, behavior monitoring, and data masking. IBM documents integrations with DataStage, Segment, Cognos Analytics, Looker, Tableau, Excel, SPSS Statistics, SAS, and R. Supported deployments include self-hosting and Amazon RDS for Db2. Free plans are available; Performance is listed at $630 a month, billed hourly.