![]() ![]() PITR capability to any time within the retention periodīackup storage used, CPU %, IO %, Memory %, Server log storage limit, server log storage %, server log storage used, Storage limit, Storage %, Storage usedīackup storage used, CPU credits consumed, CPU credits remaining, CPU %, Disk queue depth, IOPS, Memory %, Read IOPS, Read throughput bytes/s, storage free, storage %, storage used, Transaction log storage used, Write IOPS, Write throughput bytes/sĪctive connections, Network In, Network outĪctive connections, Max. Using read replicas, Geo-redundant backup (in selected regions) Using read replicas, geo-redundant backup Depends on the workload)Īpplication connection string post failover Postgres physical streaming replication in SYNC mode Physically separate compute & storage provisioned Like MySQL, PostgreSQL uses a client/server database. Yes (a synchronous standby is established in the same zone as the primary)īuilt-in with storage pinned to a zone. PostgreSQL is an open-source object RDBMS with special emphasis on extensibility and standards compliance. ![]() Yes (a synchronous standby is established in another zone within a region) Yes (set require_secure_transport to OFF) Private access (VNET injection in a delegated subnet), public access)Ībility to move between private and public access ![]() Virtual network, private link, public access SQLite is lightweight and can fit within small devices, while PostgreSQL. Only compute is stopped/startedġ TB (Basic), 4 TB or 16 TB (GP, MO). The setup size is another factor to consider when deciding between sqlite vs postgres. For example, pgadmusrīurstable, General Purpose, Memory Optimized Username in connection For example, username. Microsoft SQL Server and PostgreSQL can both be used with great success, but certain tasks (backup, user management, integration with AD) to name a few are 'easier' to do in SQL Server, if not can only be done in SQL Server. The following table provides a list of high-level features and capabilities comparisons between Single Server and Flexible Server. However, you should consider your own requirements against the comparison table below. For all your new PostgreSQL deployments, we recommend using Flexible Server. ![]()
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