MariaDB Server is one of the most popular open source relational databases.
It's made by the original developers of MySQL.
MariaDB turns data into structured information in a wide array of applications,
ranging from banking to websites. It is an enhanced, drop-in replacement
for MySQL. MariaDB is used because it is fast, scalable and robust, with a
rich ecosystem of storage engines, plugins and many other tools make it very
versatile for a wide variety of use cases.
MariaDB is developed as open source software and as a relational database
it provides an SQL interface for accessing data. The latest versions of
MariaDB also include GIS and JSON features.
package is experimental right now - it was confirmed working on NetBSD
and compile on macOS only for now
8.0 brings many improvements over 5.7, following is shortened list, more details
are available on https://dev.mysql.com/doc/refman/8.0/en/mysql-nutshell.html
- transactional data dictionary
- atomic DDL
- integrated upgrade procedure
- security and account management improvements
- resource groups and threads (thread affinity needs some work for NetBSD)
- table encryption management
- loads of innodb enhancements
- default character set utf8mb4
- JSON enhancements
- CTE, Window functions
- lateral derived tables
- reworked regular experssion support
- internal temporary tables
- HASH JOIN optimization
- EXPLAIN ANALYZE
- time zone support for TIMESTAMP and DATETIME
- optimizer hints for FORCE INDEX, IGNORE INDEX
- XML enhancements
- single preparation of statements
- single RIGHT JOIN as LEFT JOIN handling
- derived condition pushdown optimization
Number of features were also deprecated, check the release notes for that
wal2json is an output plugin for logical decoding. It means that the plugin
have access to tuples produced by INSERT and UPDATE. Also, UPDATE/DELETE old
row versions can be accessed depending on the configured replica identity.
Changes can be consumed using the streaming protocol (logical replication
slots) or by a special SQL API.
PostgreSQL 13 contains many new features and enhancements, including:
* Space savings and performance gains from de-duplication of B-tree index entries
* Improved performance for queries that use aggregates or partitioned tables
* Better query planning when using extended statistics
* Parallelized vacuuming of indexes
* Incremental sorting
LuaDBI is a database interface library for Lua. It is designed to provide
a RDBMS agnostic API for handling database operations. LuaDBI also provides
support for prepared statement handles, placeholders and bind parameters
for all database operations.
Currently LuaDBI supports DB2, Oracle, MySQL, PostgreSQL and SQLite databases
with native database drivers.
lsqlite3 is a thin wrapper around the public domain SQLite3 database engine.
The lsqlite3 module supports the creation and manipulation of SQLite3
databases.
After a require('lsqlite3') the exported functions are called with prefix
sqlite3. However, most sqlite3 functions are called via an object-oriented
interface to either database or SQL statement objects.
PyPika is a Python API for building SQL queries. The motivation behind PyPika
is to provide a simple interface for building SQL queries without limiting the
flexibility of handwritten SQL. Designed with data analysis in mind, PyPika
leverages the builder design pattern to construct queries to avoid messy string
formatting and concatenation. It is also easily extended to take full advantage
of specific features of SQL database vendors.
Tortoise ORM is an easy-to-use asyncio ORM (Object Relational Mapper) inspired
by Django.
Tortoise ORM was build with relations in mind and admiration for the excellent
and popular Django ORM. It's engraved in it's design that you are working not
with just tables, you work with relational data.
tiedot is a document database engine that uses JSON as document
notation; it has a powerful query processor that supports advanced set
operations; it can be embedded into your program, or run a stand-alone
server using HTTP for an API.
tiedot has fault-tolerant data structures that put your data safety
first, while easily scales to 4+ CPU cores.
tiedot has very stable performance, even with millions of records! It
consistently achieves high throughput - swallow more than 120k records
or 80k complicated queries per second with confidence.