PostgreSQL is a powerful, open source object-relational database system. It has more than 15 years of active development and a proven architecture that has earned it a strong reputation for reliability, data integrity, and correctness. It is fully ACID compliant, has full support for foreign keys, joins, views, triggers, and stored procedures (in multiple languages). It has native programming interfaces for most of the programming language. 

 An enterprise class database, PostgreSQL boasts sophisticated features such as Multi-Version Concurrency Control (MVCC), point in time recovery, tablespaces, asynchronous replication, nested transactions (savepoints), online/hot backups, a sophisticated query planner/optimizer, and write ahead logging for fault tolerance.

PostgreSQL is a powerful, open source object-relational database system. It has more than 15 years of active development and a proven architecture that has earned it a strong reputation for reliability, data integrity, and correctness. It is fully ACID compliant, has full support for foreign keys, joins, views, triggers, and stored procedures (in multiple languages). It has native programming interfaces for most of the programming language.

PostgreSQL -  Powerful, Open Source Object-Relational Database System

PostgreSQL ORM for Golang with focus on PostgreSQL features and performance. It supports Basic types, Multidimensional Arrays, Transactions, Prepared statements, Queries retries on network errors, Automatic connection pooling with circuit breaker support, Bulk/batch inserts and updates, Pagination and URL filters helpers, Migrations, Sharding and lot more.

pg - PostgreSQL ORM for Golang with focus on PostgreSQL features and performance

Objection.js is an ORM for Node.js that aims to stay out of your way and make it as easy as possible to use the full power of SQL and the underlying database engine while keeping magic to a minimum.Objection.js is built on an SQL query builder called knex. All databases supported by knex are supported by objection.js. SQLite3, Postgres and MySQL are thoroughly tested.

Objection.js - An SQL-friendly ORM for Node.js

TimescaleDB is an open-source database designed to make SQL scalable for time-series data. It is engineered up from PostgreSQL, providing automatic partitioning across time and space (partitioning key), as well as full SQL support. TimescaleDB is packaged as a PostgreSQL extension and released under the Apache 2 open-source license. 
 
TimescaleDB automatically scales and spreads data written to a hypertable into many dynamically-created chunks. Hypertables present the abstraction of a single table, yet transparently partitioned by time and space, they enable high insert rates even at billions of rows.

 TimescaleDB is an open-source database designed to make SQL scalable for time-series data. It is engineered up from PostgreSQL, providing automatic partitioning across time and space (partitioning key), as well as full SQL support. TimescaleDB is packaged as a PostgreSQL extension and released under the Apache 2 open-source license. 

Timescaledb - An open-source time-series database optimized for fast ingest and complex queries

MapD Core is an in-memory, column store, SQL relational database that was designed from the ground up to run on GPUs. MapD Core is the foundational element of a larger data exploration platform that emphasizes speed at scale. By taking advantage of the parallel processing power of the hardware, MapD Core can query billions of rows in milliseconds. Furthermore, by using the graphics pipelines of GPUs, MapD Core can render graphics directly from the server.
 
MapD can operate as a standalone database using the command line or its administration console. MapD can also output to its native interface, MapD Immerse, or to third-party software such as Tableau, Qlik, or Birst, using a variety of connectors. 
 
Within a single server, MapD Core can handle datasets 1.5-3TB in raw size in GPU RAM, or 10-15TB in CPU RAM. In distributed deployments, that number scales linearly.

 MapD Core is an in-memory, column store, SQL relational database that was designed from the ground up to run on GPUs. MapD Core is the foundational element of a larger data exploration platform that emphasizes speed at scale. By taking advantage of the parallel processing power of the hardware, MapD Core can query billions of rows in milliseconds. Furthermore, by using the graphics pipelines of GPUs, MapD Core can render graphics directly from the server.

MapD - The MapD Core database

The Jdbi library provides convenient, idiomatic access to relational databases in Java. Jdbi is built on top of JDBC. If your database has a JDBC driver, you can use Jdbi with it. It uses the Java collections framework for query results, provides a convenient means of externalizing sql statements, and provides named parameter support for any database being used. 

jDBI - Provides convenient tabular data access in Java

Citus is a distributed database that scales across commodity servers using transparent sharding and replication. Citus extends the underlying database rather than forking it, giving developers and enterprises the power and familiarity of a relational database. As an extension, Citus supports new PostgreSQL releases, and allows you to benefit from new features while maintaining compatibility with existing PostgreSQL tools.
 
Citus is a PostgreSQL extension and not a fork. It is scalable across multiple machines through sharding and replication. It supports distributed engine for query parallelization.

Citus is a distributed database that scales across commodity servers using transparent sharding and replication. Citus extends the underlying database rather than forking it, giving developers and enterprises the power and familiarity of a relational database. As an extension, Citus supports new PostgreSQL releases, and allows you to benefit from new features while maintaining compatibility with existing PostgreSQL tools.


Citus - Scalable PostgreSQL for multi-tenant and real-time workloads

ClickHouse is a fast open-source OLAP database management system. It is column-oriented and allows to generate analytical reports using SQL queries in real-time. Large queries are parallelized using multiple cores, taking all the necessary resources available on the current server. It supports distributed processing, data can reside on different shards. Each shard can be a group of replicas used for fault tolerance. All shards are used to run a query in parallel, transparently for the user.
 
ClickHouse implements user account management using SQL queries and allows for role-based access control configuration similar to what can be found in ANSI SQL standard and popular relational database management systems. It uses asynchronous multi-master replication. After being written to any available replica, all the remaining replicas retrieve their copy in the background. It adaptively chooses how to JOIN multiple tables, by preferring hash-join algorithm and falling back to the merge-join algorithm if there’s more than one large table.

ClickHouse is a fast open-source OLAP database management system. It is column-oriented and allows to generate analytical reports using SQL queries in real-time. Large queries are parallelized using multiple cores, taking all the necessary resources available on the current server. It supports distributed processing, data can reside on different shards. Each shard can be a group of replicas used for fault tolerance. All shards are used to run a query in parallel, transparently for the user.

ClickHouse - Column-oriented database management system that allows generating analytical data reports in real time

QuestDB is a high-performance, open-source SQL database for applications in financial services, IoT, machine learning, DevOps and observability. It includes endpoints for PostgreSQL wire protocol, high-throughput schema-agnostic ingestion using InfluxDB Line Protocol, and a REST API for queries, bulk imports, and exports.
 
QuestDB implements ANSI SQL with native extensions for time-oriented language features. These extensions make it simple to correlate data from multiple sources using relational and time series joins. QuestDB achieves high performance from a column-oriented storage model, massively-parallelized vector execution, SIMD instructions, and various low-latency techniques. The entire codebase was built from the ground up in Java and C++, with no dependencies, and is 100% free from garbage collection.

QuestDB is a high-performance, open-source SQL database for applications in financial services, IoT, machine learning, DevOps and observability. It includes endpoints for PostgreSQL wire protocol, high-throughput schema-agnostic ingestion using InfluxDB Line Protocol, and a REST API for queries, bulk imports, and exports.

QuestDB - Fast relational time-series database

Trino is a highly parallel and distributed query engine, that is built from the ground up for efficient, low latency analytics. It is an ANSI SQL compliant query engine, that works with BI tools such as R, Tableau, Power BI, Superset and many others. It helps to natively query data in Hadoop, S3, Cassandra, MySQL, and many others, without the need for complex, slow, and error-prone processes for copying the data. 
 
Access data from multiple systems within a single query. For example, join historic log data stored in an S3 object storage with customer data stored in a MySQL relational database.

Trino is a highly parallel and distributed query engine, that is built from the ground up for efficient, low latency analytics. It is an ANSI SQL compliant query engine, that works with BI tools such as R, Tableau, Power BI, Superset and many others. It helps to natively query data in Hadoop, S3, Cassandra, MySQL, and many others, without the need for complex, slow, and error-prone processes for copying the data. 

Trino - A query engine that runs at ludicrous speed

A lightweight wrapper around SQLiteOpenHelper and ContentResolver which introduces reactive stream semantics to queries. SQL Brite's only responsibility is to be a mechanism for coordinating and composing the notification of updates to tables such that you can update queries as soon as data changes. This library is not an ORM. It is not a type-safe query mechanism. It won't serialize the same POJOs you use for Gson. It's not going to perform database migrations for you.

Sqlbrite - A lightweight wrapper around SQLiteOpenHelper which introduces reactive stream semantics to SQL operations

The smoothest, best looking, and easiest to use SQL client for MySQL, Postgres, SQLite, SQL Server, Red shift, MariaDB, CockroachDB and more.

Beekeeper Studio - Open Source SQL Editor and Database Manager

sql.js is a javascript SQL database. It allows you to create a relational database and query it entirely in the browser. It uses a virtual database file stored in memory, and thus doesn't persist the changes made to the database. However, it allows you to import any existing sqlite file, and to export the created database as a JavaScript typed array. sql.js uses emscripten to compile SQLite to webassembly (or to javascript code for compatibility with older browsers). It includes contributed math and string extension functions.
 
sql.js can be used like any traditional JavaScript library. If you are building a native application in JavaScript (using Electron for instance), or are working in node.js, you will likely prefer to use a native binding of SQLite to JavaScript. A native binding will not only be faster because it will run native code, but it will also be able to work on database files directly instead of having to load the entire database in memory, avoiding out of memory errors and further improving performances.

sql.js is a javascript SQL database. It allows you to create a relational database and query it entirely in the browser.  It uses a virtual database file stored in memory, and thus doesn't persist the changes made to the database. However, it allows you to import any existing sqlite file, and to export the created database as a JavaScript typed array. sql.js uses emscripten to compile SQLite to webassembly (or to javascript code for compatibility with older browsers). It includes contributed math and string extension functions.

sql.js - A Javascript library to run SQLite on the web

nopCommerce is the best open-source eCommerce shopping cart solution. nopCommerce is free, and it is the most popular ASP.NET eCommerce platform. nopCommerce supports a mobile version of your website with a compelling, feature-rich and graphically pleasing storefront, and it provides means for retailers to immediately deliver relevant offers, promotions and products. Its feature include Multi store, Multi vendor, SEO, Payment methods, Shipping methods, Tax features, Marketing, Stock management and lot more.

nopCommerce - The most popular open-source eCommerce shopping cart solution based on ASP.NET Core 

Bytebase is a web-based, zero-config, dependency-free database schema change and version control management tool for developers and DBAs. It is for developers to collaborate on database schemas changes. It helps to construct a single pipeline to propagate the schema change across multiple environments. It can also store the schemas in VCS and trigger a new pipeline upon commit push. 
 
Developers first submit their SQL statement for DBA to review. After review is approved, the SQL statement will then be applied to the corresponding database. "Version controlled schema" aka "Database-as-code" is a practice to store the database schema in a version control system (VCS) just like how application code is stored. The database schema consists of a bunch of database migration scripts.

Bytebase is a web-based, zero-config, dependency-free database schema change and version control management tool for developers and DBAs. It is for developers to collaborate on database schemas changes. It helps to construct a single pipeline to propagate the schema change across multiple environments. It can also store the schemas in VCS and trigger a new pipeline upon commit push. 

ByteBase - Web-based, zero-config, dependency-free database schema change and version control tool for teams

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PostgreSQL - Powerful, Open Source Object-Relational Database System