Top Five NoSQL Databases and When to Use Them

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Deep down in Hadoop is the powerful database, HBase, that spreads data out among nodes using HDFS. It is, perhaps, most appropriate to use for managing huge tables consisting of billions of rows. Being a part of Hadoop, it allows using map/reduce processing on the data for complicated computational jobs, but also provides real-time data processing capabilities.

Both HBase and Cassandra follow the BigTable model. As such, HBase can be scaled linearly simply by adding more nodes to the setup. HBase is best suited for real-time querying of Big Data.

The days of the single source of truth, one database for the entire enterprise, are over. Now even a relatively simple mobile application demands more than one database. The good news is that we have entered a golden age of open-source NoSQL databases. Developers have great and readily available open-source technologies with robust communities behind them at their fingertips.

The difficulty is knowing which database is right for which use case. While a number of options are available, according to Redis Labs, these are five NoSQL databases that developers should be familiar with.

Redis Labs offers enterprise-class Redis and Memcached for developers. Their fully-managed cloud services - Redis Cloud and Memcached Cloud - deliver top performance in a highly-available, infinitely scalable, predictable and stable manner — freeing developers from dealing with nodes, clusters, scaling, data-persistence and failure recovery.


Related Topics : APC, Resellers, Data Replication, Extract Transform and Load, Structured Data Integration

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