Databases for Big Data

Big Data refers to the technologies and initiatives that involve in data diverse which is massive in size and fast-changing. The volume, velocity or variety of data in big data is too huge. Because of the variety and volume of data, big data always brings a number of challenges.

Big data is mostly unstructured, and the main challenge created by unstructured data. But, if the data is structured then its not truly Big Data! A recent survey says that 80% of the created data are unstructured in the world. Another challenge is how to store the big data. Today’s technologies make it possible to store and analyze this huge amount data. In this geek story we will list top databases that used to store this huge amount of data.

So, let’s start-

1. MongoDB

2. PostgreSQL

3. Oracle

4. Redis

5. REVENDB

6. Couch DB

7. Neo4j

8. HADOOP

9. HBASE

10. HyperGraphDB

11. Terrastore

12. MyOODB

13. OrientDB

14. Db4objects

15. NeoDatis

16. Terrastore

17. InfoGrid

18. Perst

19. Presto

20. MemcacheDB

In this list most of the databases are NoSQL database, because big data are more comfortable with NoSQL. In the next article we will discuss about why NoSQL is best for big data. Hope this list may help you to choose a database for your big data project. Thank you!