KeyDB is a high performance fork of Redis with a focus on multithreading, memory efficiency, and high throughput. In addition to multithreading, KeyDB also has features only available in Redis Enterprise such as Active Replication, FLASH storage support, and some not available at all such as direct backup to AWS S3.
 
KeyDB maintains full compatibility with the Redis protocol, modules, and scripts. This includes the atomicity guarantees for scripts and transactions. Because KeyDB keeps in sync with Redis development KeyDB is a superset of Redis functionality, making KeyDB a drop in replacement for existing Redis deployments.
 
In addition to supporting LUA, KeyDB also supports JavaScript using the powerful V8 JIT engine. ModJS lets you write functions in javascript that can in turn be called directly by KeyBD.

KeyDB is a high performance fork of Redis with a focus on multithreading, memory efficiency, and high throughput. In addition to multithreading, KeyDB also has features only available in Redis Enterprise such as Active Replication, FLASH storage support, and some not available at all such as direct backup to AWS S3.

Keydb - A Multithreaded Fork of Redis 

The Apache Cassandra Project develops a highly scalable second-generation distributed database, bringing together Dynamo's fully distributed design and Bigtable's ColumnFamily-based data model. Cassandra is suitable for applications that can't afford to lose data. Data is automatically replicated to multiple nodes for fault-tolerance. 

 Cassandra provides support for Scale out, load balancing, cluster growth, Flexible schema, Key-oriented queries and CAP theorem (Consistency, Availability, Partition tolerance). It is in use at Digg, Facebook, Twitter, Reddit, Rackspace, Cloudkick, Cisco and more companies.

The Apache Cassandra Project develops a highly scalable second-generation distributed database, bringing together Dynamo's fully distributed design and Bigtable's ColumnFamily-based data model. Cassandra is suitable for applications that can't afford to lose data. Data is automatically replicated to multiple nodes for fault-tolerance.

Cassandra - Scalable Distributed Database

Hypertable is based on Google's Bigtable Design, which is a proven scalable design that powers hundreds of Google services. Many of the current scalable NoSQL database offerings are based on a hash table design which means that the data they manage is not kept physically ordered. Hypertable keeps data physically sorted by a primary key and it is well suited for Analytics.
 
This project is for the design and implementation of a high performance, scalable, distributed storage and processing system for structured and unstructured data. It is designed to manage the storage and processing of information on a large cluster of commodity servers, providing resilience to machine and component failures. Data is represented in the system as a multi-dimensional table of information. The data in a table can be transformed and organized at high speed by performing computations in parallel, pushing them to where the data is physically stored.

Hypertable is based on Google's Bigtable Design, which is a proven scalable design that powers hundreds of Google services. Many of the current scalable NoSQL database offerings are based on a hash table design which means that the data they manage is not kept physically ordered. Hypertable keeps data physically sorted by a primary key and it is well suited for Analytics.

Hypertable - A high performance, scalable, distributed storage and processing system for structured 

HBase provides support to handle BigTable - billions of rows X millions of columns. It is a scalable, distributed, versioned, column-oriented store modeled after Google's Bigtable and runs on top of HDFS (Hadoop Distributed Filesystem). It features compression, in-memory operation per-column. Data could be replicated between the nodes. HBase is used in Facebook and Twitter.

HBase -  Hadoop database

Dqlite is a fast, embedded, persistent SQL database with Raft consensus that is perfect for fault-tolerant IoT and Edge devices. Dqlite (“distributed SQLite”) extends SQLite across a cluster of machines, with automatic failover and high-availability to keep your application running. It uses C-Raft, an optimised Raft implementation in C, to gain high-performance transactional consensus and fault tolerance while preserving SQlite’s outstanding efficiency and tiny footprint.

Dqlite - High-availability SQLite

BigchainDB allows developers and enterprise to deploy blockchain proof-of-concepts, platforms and applications with a scalable blockchain database, supporting a wide range of industries and use cases. It is a decentralization ecosystem: a decentralized database, at scale. It can perform 1 million writes per second throughput, store petabytes of data, and sub-second latency.
 
The BigchainDB design starts with a distributed database (DB), and through a set of innovations adds blockchain characteristics: decentralized control, immutability, and creation & movement of digital assets. BigchainDB inherits characteristics of modern distributed databases: linear scaling in throughput and capacity with the number of nodes, a full-featured NoSQL query language, efficient querying, and permissioning. Being built on an existing distributed DB, it also inherits enterprise-hardened code for most of its codebase.

BigchainDB allows developers and enterprise to deploy blockchain proof-of-concepts, platforms and applications with a scalable blockchain database, supporting a wide range of industries and use cases.  It is a decentralization ecosystem: a decentralized database, at scale. It can perform 1 million writes per second throughput, store petabytes of data, and sub-second latency.

BigchainDB - The Scalable Blockchain Database

EventQL is a distributed, column-oriented database built for large-scale event collection and analytics. It runs super-fast SQL and MapReduce queries. Its features include Automatic partitioning, Columnar storage, Standard SQL support, Scales to petabytes, Timeseries and relational data, Fast range scans and lot more.
 
Use case: 
<ul>
 <li>
 Storage and analysis of streaming event, timeseries or relational data
 </li>
 <li>
 High volume event and sensor data logging
 </li>
 <li>
 Joining and correlating of timeseries data with relational tables
 </li>
 </ul>

 EventQL is a distributed, column-oriented database built for large-scale event collection and analytics. It runs super-fast SQL and MapReduce queries. Its features include Automatic partitioning, Columnar storage, Standard SQL support, Scales to petabytes, Timeseries and relational data, Fast range scans and lot more.

EventQL - The database for large-scale event analytics

SurrealDB is the ultimate mult--modal database for tomorrow's applications. SurrealDB is an end-to-end cloud-native database designed for modern applications, including web, mobile, serverless, Jamstack, backend, and traditional applications. With SurrealDB, you can simplify your database and API infrastructure, reduce development time, and build secure, performant apps quickly and cost-effectively.
<ul dir="auto">
<li>Reduces development time: SurrealDB simplifies your database and API stack by removing the need for most server-side components, allowing you to build secure, performant apps faster and cheaper.</li>
<li>Real-time collaborative API backend service:&nbsp;SurrealDB functions as both a database and an API backend service, enabling real-time collaboration.</li>
<li>Support for multiple querying languages:&nbsp;SurrealDB supports SQL querying from client devices, GraphQL, ACID transactions, WebSocket connections, structured and unstructured data, graph querying, full-text indexing, and geospatial querying.</li>
<li>Granular access control: SurrealDB provides row-level permissions-based access control, giving you the ability to manage data access with precision.</li>
<li class="task-list-item">Record links and directed typed graph connections</li>
<li>Incrementally computed views for pre-computed advanced analytics</li>
<li>Connect and query directly from web-browsers and client devices</li>
<li>Store and model data in any way with tables, documents, and graph</li>
<li>Simple schema definition for frontend and backend development</li>
<li>Use embedded JavaScript functions for custom advanced functionality</li>
</ul>

SurrealDB is an end-to-end cloud-native database designed for modern applications, including web, mobile, serverless, Jamstack, backend, and traditional applications.

SurrealDB - A scalable, distributed, collaborative, document-graph database, for the realtime web

VoltDB was specifically designed for contemporary software applications that are pushed beyond their limits by high volume data sources. VoltDB provides the ability to capture, store and process incoming data at millions of read/write operations per second. And VoltDB’s relational model opens that data to be analyzed in real-time, using familiar Business Intelligence tools, to identify data patterns and trends, spot anomalies, or perform tracking and alerting. In addition to supporting real-time analytics, VoltDB seamlessly integrates with data warehousing and Hadoop infrastructures, feeding data to those environments for deep analytical exploration. Large database gets automatically sharded to multiple nodes, basically it supports database to scale out. VoltDB implements HA using K-Safety, a configurable, active-active durability model for high performance distributed systems. Client connectors are available in languages like Java, C++, Python, PHP, HTTP/JSON, Ruby and Erlang.

VoltDB was specifically designed for contemporary software applications that are pushed beyond their limits by high volume data sources. VoltDB provides the ability to capture, store and process incoming data at millions of read/write operations per second. And VoltDB’s relational model opens that data to be analyzed in real-time, using familiar Business Intelligence tools, to identify data patterns and trends, spot anomalies, or perform tracking and alerting.

VoltDB - Fast Scalable SQL DBMS with ACID

Nebula Graph is an open-source graph database capable of hosting super large-scale graphs with billions of vertices (nodes) and trillions of edges, with milliseconds of latency. It delivers enterprise-grade high performance to simplify the most complex data sets imaginable into meaningful and useful information. 
 
Nebula Graph is Symmetrically distributed, Separates Storage and computation, Horizontal scalability, Strong data consistency by RAFT protocol, Role-based access control for higher level security and lot more.

Nebula Graph is an open-source graph database capable of hosting super large-scale graphs with billions of vertices (nodes) and trillions of edges, with milliseconds of latency. It delivers enterprise-grade high performance to simplify the most complex data sets imaginable into meaningful and useful information. 

Nebula Graph - A distributed, scalable, lightning-fast graph database

Coherence CE (Community Edition) is a free and open source edition of Oracle Coherence, first and market-leading in-memory data grid. It has been used by hundreds of customers across many industries to power some of the mission critical systems you use every day. Coherence clusters can easily scale to hundreds of members (JVMs), all of which can both store and process the data. It can optionally persist data to disk (either local or shared), which prevents data loss even in the case of complete cluster outage.
 
Coherence is fast. Like, sub-millisecond fast. Each member of the cluster is aware of where each piece of data resides and can access it using a single network call. There are no connections to acquire or release, and no distributed transactions to commit or roll back.

Coherence CE (Community Edition) is a free and open source edition of Oracle Coherence, first and market-leading in-memory data grid. It has been used by hundreds of customers across many industries to power some of the mission critical systems you use every day. Coherence clusters can easily scale to hundreds of members (JVMs), all of which can both store and process the data. It can optionally persist data to disk (either local or shared), which prevents data loss even in the case of complete cluster outage.

Coherence CE (Community Edition) is a free and open source edition of Oracle Coherence, first and market-leading in-memory data grid

Cloudata is Distributed Large scale Structured Data Storage, and open source project implementing Google's Bigtable. It's DBMS(Database Management System), but not Relational DBMS. It can store more than Peta bytes.

Cloudata - Structured Data Storage implementing Google's Bigtable.

Bedrock is a simple, modular, WAN-replicated, Blockchain-based data foundation for global-scale applications. Bedrock was built by Expensify, and is a networking and distributed transaction layer built atop SQLite, the fastest, most reliable, and most widely distributed database in the world. Bedrock is Blockchain-based. This means it uses a private blockchain to synchronize and self organize.

Bedrock - Rock solid distributed database specializing in active/active automatic failover and WAN replication

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