OPEN-SOURCE GRAPH INSPIRED BY THE GRAPH DATABASE BEHIND FREEBASE AND GOOGLE'S KNOWLEDGE GRAPH.

a system for incrementally processing updates to a large data set

Elliptics network is a fault tolerant distributed key/value storage. With default key generation policy it implements hash table object storage

A Cassandra compatible NoSQL column store, at 1MM transactions/sec per server.

CockroachDB enables developers to build scalable applications that can survive datacenter-scale outages without breaking a sweat. With strong consistency and transactions, CockroachDB frees developers to focus on what matters, instead of engineering solutions to database shortcomings.

Sophia is a modern embeddable key-value database, fast and feature-rich.

more efficient use of I/O, multiple CPU cores and large memory in a single server

Engineered to meet the elastic scalability, consistent high performance, always-on availability, and data mobility requirements of mission critical applications.

EJDB is the C library based on modified version of Tokyo Cabinet. JSON representation of queries and data implemented with API based on C BSON

Crate Data is an open source massively scalable data store.

A consistent distributed data store.

LMDB is an ultra-fast, ultra-compact key-value data store developed by Symas for the OpenLDAP Project.

The Open-Source Database for Ad hoc Analytics

This adds support for building MongoDB on NetBSD.

I've kept quiet for awhile for various political reasons, but I now feel a kind of social responsibility to deter people from banking their business on MongoDB.

is in production use today, powering user-data storage solutions for real-time bidding for digital advertising. Common deployments are terabytes of data, billions of objects, and 100K- plus transactions per second with sub-millisecond latency.

Redis is an advanced key-value store. It is similar to memcached but the dataset is not volatile, and values can be strings, exactly like in memcached, but also lists, sets, and ordered sets. All this data types can be manipulated with atomic operations to push/pop elements, add/remove elements, perform server side union, intersection, difference between sets, and so forth.

An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads.

Bigdata was designed from the ground up as a distributed database architecture optimized for very high aggregate IO rates

This paper describes a new scheme for guaranteeing that transactions in a client/server system observe consistent state while they are running

This paper described Dynamo, a highly available and scalable data store, used for storing state of a number of core services of Amazon.com’s e-commerce platform

Building reliable distributed systems at a worldwide scale demands trade-offs between consistency and availability.