MongoDB for GIANT Ideas - Build innovative modern applications that create a competitive advantage.
Redis is an open source (BSD licensed), in-memory data structure store, used as
database, cache and message broker.
Unlock the value of your connected data and build intelligent applications at
scale with Neo4j, the world's fastest and most scalable graph database.
RethinkDB pushes JSON to your apps in realtime. When your app polls for data, it becomes slow, unscalable, and cumbersome to maintain.
Learn why MarkLogic Enterprise NoSQL is the world's best database for integrating data from silos.
Welcome to Apache HBase™ Apache HBase™ is the Hadoop database, a distributed, scalable, big data store.
The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
Apache Hive TM. The Apache Hive ™ data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL.
Single Node Database. CouchDB is a terrific single-node database that works just like any other database behind an application server of your choice.
Druid is designed for multi-tenancy and is ideal for powering user-facing analytic applications. Real-time Streams.
OrientDB-NoSQL Multi-Model Database with a Graph engine and flexibility of a Document Database. The best scalable, high-performance, operational database.
Query Playground Learn more about DocumentDB’s rich querying over schema-free JSON data. DocumentDB is Microsoft’s NoSQL, JSON database for rapid development.
All-in-one DBMS platform with an integrated enterprise search engine, relevance ranking and fault tolerant replication
ZODB - a native object database for Python¶ Because ZODB is an object database: no separate language for database operations.
A directory of GUIs, admin interfaces, and other tools for getting the most out of MongoDB, a popular open source document-oriented database.
Offical Homepage of MemcacheDB
Hypertable is an open source project based on published best practices and our own experience in solving large-scale data-intensive tasks.
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