![]() Whichever database you choose, higher compatibility with PostgreSQL provides a lower barrier to entry for developers, along with less mental friction. As a result, developers who know Postgres will feel at home from start to finish. This compatibility metric automatically implies the three other forms of compatibility-wire, syntax, and feature are in place. More specifically, runtime-compatible databases should support queries to the system catalog, error messages, and error codes. Runtime compatibility ensures a database matches PostgreSQL execution semantics at runtime. However, in this instance, developers who rely on a certain Postgres feature would need to re-learn equivalent feature sets and modify their applications. For example, in some cases, a specific set of parameters may be ignored.Īn equivalent feature doesn’t need to have the same Postgres syntax to work. The way it executes could be different, though. In other words, when a valid Postgres snippet is sent to the database, it can create a table, execute a SQL statement, and return a valid result. With syntax compatibility, a database can parse the same PostgreSQL syntax. ![]() Wire compatibility deals with how a database sequences and serializes data. Finally, developers can use command-line tools-such as psql-to connect to the database and explore any number of schemas or queries. They’re able to write an application in a variety of programming languages, such as Java, JDBC, Python, and Go. This means developers can start building an application with ease. Wire-protocol compatibility allows Postgres client drivers to communicate with a database. But a database is wire-protocol compatible if it can understand the same sequence and serialization of data. These commands and queries are written in a sequence of bytes, and serialized. Wire-Protocol CompatibilityĪ PostgreSQL database reads some set of commands and queries off the network. But, a database can only support an application to the degree it can support other forms of compatibility. Going further, the degree of compatibility isn’t all or nothing-databases can be higher or lower for any given metric. These metrics follow a natural adoption curve, from exploring a new database through to making a switch. ![]() Modern database vendors often neglect to mention that there are four key metrics-or “levels”-of Postgres compatibility. Defining Four Key Postgres Compatibility Metrics It is also supported by a vibrant community of developers-not to mention a rich ecosystem of tools and frameworks. ![]() Specifically, these characteristics make it highly functional for a wide range of use cases and applications.Īdditionally, it’s robust, fully extensible, and 100% open source. It supports many “post-relational” database concepts, such as in-database functions. For starters, it has an expansive, proven feature set that most technologists know and love. Postgres, also known formally as PostgreSQL, is the gold standard for operational databases. But, even if a database claims compatibility, it can be difficult to decipher what that means in relation to another database, as not all “compatibility” is created equal. Run proven feature sets, tools, and frameworks at massive scale with cloud native capabilitiesĮvery modern database now offers some level of Postgres compatibility to reach developers and increase adoption.
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