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

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

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

SQLDelight generates Java models from your SQL CREATE TABLE statements. These models give you a typesafe API to read & write the rows of your tables. It helps you to keep your SQL statements together, organized, and easy to access from Java.To use SQLDelight, put your SQL statements in a .sq file, like src/main/sqldelight/com/example/HockeyPlayer.sq. Typically the first statement creates a table.

SQLDelight generates Java models from your SQL CREATE TABLE statements. These models give you a typesafe API to read & write the rows of your tables. It helps you to keep your SQL statements together, organized, and easy to access from Java. To use SQLDelight, put your SQL statements in a .sq file, like src/main/sqldelight/com/example/HockeyPlayer.sq. Typically the first statement creates a table.

SQLDelight - Generates Java models from CREATE TABLE statements

CockroachDB is a cloud-native SQL database for building global, scalable cloud services that survive disasters.CockroachDB is a distributed SQL database built on a transactional and strongly-consistent key-value store. It scales horizontally; survives disk, machine, rack, and even datacenter failures with minimal latency disruption and no manual intervention; supports strongly-consistent ACID transactions; and provides a familiar SQL API for structuring, manipulating, and querying data.
 
CockroachDB supports the PostgreSQL wire protocol, so you can use any available PostgreSQL client drivers.

CockroachDB is a cloud-native SQL database for building global, scalable cloud services that survive disasters.CockroachDB is a distributed SQL database built on a transactional and strongly-consistent key-value store. It scales horizontally; survives disk, machine, rack, and even datacenter failures with minimal latency disruption and no manual intervention; supports strongly-consistent ACID transactions; and provides a familiar SQL API for structuring, manipulating, and querying data.

CockroachDB - Cloud-native SQL database.

SeaORM is a relational ORM to help you build light weight and concurrent web services in Rust. Relying on SQLx, SeaORM is a new library with async support from day 1. It allows you to build complex queries without 'fighting the ORM'.



SeaORM -  An async & dynamic ORM for Rust

Ebean is fast and simple data access on the JVM. With Ebean it is very easy to insert, update, delete. There is no Session or EntityManager to manage, no merge/flush/attach/detach semantics. Ebean can profile the object graph use and use that to automatically optimise ORM queries such that they only fetch the required properties and minimises N + 1. 
 
Its features include JPA Mapping annotations, Type safe queries, ElasticSearch integration and lot more.

Ebean is fast and simple data access on the JVM.  With Ebean it is very easy to insert, update, delete. There is no Session or EntityManager to manage, no merge/flush/attach/detach semantics.  Ebean can profile the object graph use and use that to automatically optimise ORM queries such that they only fetch the required properties and minimises N + 1. 

Ebean - ORM for Java / Kotlin

Crate is an open source, highly scalable, shared-nothing distributed SQL database. Crate offers the scalability and performance of a modern No-SQL database with the power of Standard SQL. Crate’s distributed SQL query engine lets you use the same syntax that already exists in your applications or integrations, and have queries seamlessly executed across the crate cluster, including any aggregations, if needed.

Crate - The fast, scalable, easy to use SQL database with native full text search

A cloud-native database for building mission-critical applications. This repository contains the Community Edition of the YugaByte Database.YugaByte offers both SQL and NoSQL in a single, unified db. It is meant to be a system-of-record/authoritative database that applications can rely on for correctness and availability. It allows applications to easily scale up and scale down in the cloud, on-premises or across hybrid environments without creating operational complexity or increasing the risk of outages.
 
YugaByte DB is world's only distributed database that is both non-relational (supports Redis-compatible key-value & Cassandra-compatible flexible schema APIs) and relational (PostgreSQL-compatible distributed SQL API) at the same time. It is purpose-built to power fast-growing online services on public, private and hybrid clouds with transactional integrity, low latency, high throughput and multi-region scalability while also providing unparalleled data modeling freedom to application architects.

A cloud-native database for building mission-critical applications. This repository contains the Community Edition of the YugaByte Database.YugaByte offers both SQL and NoSQL in a single, unified db. It is meant to be a system-of-record/authoritative database that applications can rely on for correctness and availability. It allows applications to easily scale up and scale down in the cloud, on-premises or across hybrid environments without creating operational complexity or increasing the risk of outages.

YugaByte Database - Transactional, high-performance database for building internet-scale, globally-distributed applications

Apache ShardingSphere is an open-source ecosystem consisted of a set of distributed database solutions, including 3 independent products, JDBC, Proxy & Sidecar (Planning). They all provide functions of data scale-out, distributed transaction and distributed governance, applicable in a variety of situations such as Java isomorphism, heterogeneous language and cloud-native.
 
Features: 
<ul>
<li>Database sharding &amp; Table sharding</li>
<li>Replica query</li>
<li>Sharding strategy customization</li>
<li>Centre-less Distributed primary key</li>
<li>Distributed Governance</li>
<li>Data migration &amp; Scale-out</li>
<li>Observability(Tracing/Metrics) Supported</li>
<li>Data Encryption&amp;Decryption</li>
<li>Shadow Table for Performance Testing</li>
<li>Unified Transaction API</li>
</ul>

Apache ShardingSphere is an open-source ecosystem consisted of a set of distributed database solutions, including 3 independent products, JDBC, Proxy & Sidecar (Planning). They all provide functions of data scale-out, distributed transaction and distributed governance, applicable in a variety of situations such as Java isomorphism, heterogeneous language and cloud-native.

Apache ShardingSphere - Distributed Database Ecosphere 

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