A look at some of the most interesting examples of open source Big Data databases in use today.
The databases and data warehouses you’ll find on these pages are the true workhorses of the Big Data world. They hold and help manage the vast reservoirs of structured and unstructured data that make it possible to mine for insight with Big Data.
Businesses rely heavily on these open source solutions, from tools like Cassandra (originally developed by Facebook) to the well regarded MongoDB, which was designed to support the biggest of big data loads. And the tools rise to the challenge: OrientDB, for instance, can store up to 150,000 documents per second. The organizations that rely on these open source databases range from Boeing to Comcast to the Danish government. It’s accurate to say that, as much as any tool set, the software listed on these pages plays a central role in today’s global business marketplace.
Originally developed by Facebook, this NoSQL database is now managed by the Apache Foundation. It’s used by many organizations with large, active datasets, including Netflix, Twitter, Urban Airship, Constant Contact, Reddit, Cisco and Digg. Commercial support and services are available through third-party vendors. Operating System: OS Independent.
Another Apache project, HBase is the non-relational data store for Hadoop. Features include linear and modular scalability, strictly consistent reads and writes, automatic failover support and much more. Operating System: OS Independent.
MongoDB was designed to support humongous databases. It’s a NoSQL database with document-oriented storage, full index support, replication and high availability, and more. Commercial support is available through 10gen. Operating system: Windows, Linux, OS X, Solaris.
The “world’s leading graph database,” Neo4j boasts performance improvements up to 1000x or more versus relational databases. Interested organizations can purchase advanced or enterprise versions from Neo Technology. Operating System: Windows, Linux.
This NoSQL database can store up to 150,000 documents per second and can load graphs in just milliseconds. It combines the flexibility of document databases with the power of graph databases, while supporting features such as ACID transactions, fast indexes
Based on Terracotta, Terrastore boasts “advanced scalability and elasticity features without sacrificing consistency.” It supports custom data partitioning, event processing, push-down predicates, range queries, map/reduce querying and processing and server-side update functions. Operating System: OS Independent.
Best known as Twitter’s database, FlockDB was designed to store social graphs (i.e., who is following whom and who is blocking whom). It offers horizontal scaling and very fast reads and writes. Operating System: OS Independent.
Used by many telecom companies, Hibari is a key-value, big data store with strong consistency, high availability and fast performance. Support is available through Gemini Mobile. Operating System: OS Independent.
Riak humbly claims to be “the most powerful open-source, distributed database you’ll ever put into production.” Users include Comcast, Yammer, Voxer, Boeing, SEOMoz, Joyent, Kiip.me, DotCloud, Formspring, the Danish Government and many others. Operating System: Linux, OS X.
[Reference] IT Business Edge Site (http://www.datamation.com/data-center/slideshows/16-open-source-big-data-databases.html)
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