FairCom DB vs Google Cloud Spanner

FairCom DB is a multimodel database for developing on-premises applications, combining JSON, key-value, SQL, and ISAM or record-buffer capabilities in one server. Applications can use different models over the same data, query with JSON or standard SQL, and receive query results as JSON. SQL connections are available through JDBC and ODBC, while the built-in API Explorer can help create JSON actions. The database can operate as a traditional server or be embedded in an application. Replication options address high availability and disaster recovery, with ACID compliance or eventual consistency. DB Notify publishes data-change events as JSON messages and integrates with MQTT, AMQP, and Kafka. FairCom DB v13 uses OpenSSL v3 for secure communications and supports X.509 client certificate authentication. File and user security are available only in the client/server operational model. A free Developer’s Edition is limited to development environments and has a three-hour timeout; production licensing requires contacting sales. A free trial is also available, and pricing is on request.

Google Cloud Spanner is a paid database service combining relational, graph, key-value, and search capabilities. It provides Strong-ACID transactions ordered with TrueTime, horizontal read and write scaling, automatic sharding, and geo-partitioning. Configurations include single-region, dual-region, and multi-region deployments, with Google describing availability up to 99.999%. Spanner Graph, vector search, and built-in full-text search are included. A columnar engine supports ad hoc analytics on live data, and BigQuery integration enables federated queries. Spanner Omni is downloadable for on-premises, cross-cloud, or laptop deployment. Client libraries cover C++, C#, Go, Java, Node.js, PHP, Python, and Ruby. Integrations include Cloud Run, Dataflow, Cloud Storage, Compute Engine, GKE, Gemini Enterprise Agent Platform, and Looker. Security includes encryption in transit and identity and access controls. PostgreSQL compatibility, horizontal scaling, multi-region deployment, geo-partitioning, and HTAP workloads are listed.