NoSQL is on the rise. Many enterprises and users have replaced MySQL databases with NoSQL databases. NoSQL makes it easier to analyze unstructured data, so developers must be aware of the trends and tools that exist in the NoSQL world.
1. Terrastore
New document storage technology can provide advanced scalability and elasticity without sacrificing consistency. Terrastore is based on Trrracotta, which relies on an industry-proven, fast (and cool) clustering technology.
2.Neo4j
Open source graph database, implemented in Java. The developers describe Neo4j as "an embedded, disk-based, fully transactional Java persistence engine that stores data structured in graphs rather than in two-dimensional tables"
3. Voldemort
Distributed key-value storage system. Essentially a large, distributed, persistent, fault-tolerant hash table. For applications, it can use O/R mapping tools like active-record or hibernate, which can provide horizontal expansion and higher availability, but will lose huge convenience.
4. HBase
Apache HBase was developed by Chang et al of Google. It is another open source, distributed, versioned, non-relational database following the distributed storage system Bigtable developed by it.
5.InfoGrid
A Web graph database with many additional software components, making it easy to develop Rest-ful web applications based on graph databases.
6.HyperGraphDB
Universal, scalable, portable, embedded, open source data storage mechanism. It is a graph database specially designed for artificial intelligence and web semantic projects, and can also be used as an embedded object-oriented database for projects of different sizes.
7.Perst
Perst is an open source implementation of McObject, a dual-license, object-oriented embedded database system (ODBMS). One version is an embedded database developed in Java, and the other is implemented in C# (for Microsoft .NET Framework applications).
8.NeoDatis ODB
A simple object database running on Java, .Net, Google Android, Groovy and Scala.
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