Compared to their relational counterparts, NoSQL databases have a flexible data storage format. Often called schema-less, this is useful when the exact information needed may vary from record to record.
Applications typically access NoSQL data in the form of single records or batches of records in a collection. This simple access pattern has the advantage of allowing a very large data set to be spread across multiple servers, scaling horizontally through the use of both replication and sharding.
The landscape is rich with options, including Apache Cassandra, CouchDB, MongoDB, Hadoop, and HBase. Each of these has different capabilities, strengths, and weaknesses.
If you find your data access patterns are simple but your data set is large, then NoSQL may be right for you. Whether you have 1 server or 30, let End Point Dev’s expertise help you design and maintain your NoSQL data store.