OceanBase Database vs PgDog

OceanBase Database is a distributed database for transactional, analytical, and AI workloads in one system. Built-in compatibility with Oracle and MySQL is intended to simplify migration. Deployment choices include the open-source Community Edition, self-hosted Enterprise, and fully managed OceanBase Cloud across cloud providers. Documentation describes high availability and disaster recovery at node, data-center, and region levels. Linux installation packages are listed for Alibaba Cloud Linux, CentOS, Red Hat, Ubuntu, Debian, and Anolis OS. Docker deployment can be used on Windows and macOS, though the documentation cautions that this method has not been validated at scale. A standalone instance can be used for learning; production environments require at least three servers. Community Edition is free and includes full kernel capabilities. Enterprise pricing is available on request. Security features include role and permission management, network whitelists, encrypted communication, transparent data encryption, and SQL auditing, but Community Edition does not support security audit.

PgDog is a PostgreSQL connection pooler, load balancer, and database sharder designed to scale databases without application changes. It multiplexes many application connections across fewer PostgreSQL server connections and supports SET, LISTEN/NOTIFY, and advisory locks. Read queries can be distributed across replicas while writes go to the primary, with health checks and failover detection. Sharding keys guide query routing; queries without a key can run across databases in parallel. Cross-shard transactions use PostgreSQL prepared transactions and two-phase commit, with automatic rollback on errors. PgDog can copy data and stream row changes to another database without pausing query traffic. Deployment options include Kubernetes Helm, Docker, AWS ECS Terraform, pre-built binaries, and source. Releases include Linux arm64 and amd64, Apple Silicon Mac, and Debian packages; the macOS binary is unsigned. The project is free and open source under AGPL-3.0, and documentation says internal use does not require sharing source code. Enterprise support includes architecture reviews, a dedicated Slack channel, and an SLA promising a response within 15 minutes.