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9 Key Value Stores for Big Data

9 Key Value Stores for Big Data

Big Data is an all-inclusive term that refers to data sets so large and complex that they need to be processed by specially designed hardware and software tools. The data sets are typically of the order of tera or exabytes in size. These data sets are created from a diverse range of sources: sensors that gather climate information, publicly available information such as magazines, newspapers, articles. Other examples where big data is generated include purchase transaction records, web logs, medical records, military surveillance, video and image archives, and large-scale e-commerce.

In the past decade, the world of computing has been transformed. Oceans of data are now not only found in large companies; even some small companies accumulate terabytes of data. Organisations of all sizes therefore have an increased need to handle large amounts of data, and relational databases are stretched to their limits in terms of scalabillity. We need a solution which helps to achieve scaling and higher availability.

Serving systems are unable to cope with bulk load massive immutable data sets without affecting serving performance. Performance is imparied as valuable resource is sucked away by index creation and modification as CPU and memory resources are shared with request serving.

A solution is a key value store. This is one of the non-relation database models, such as graph, document-oriented database models. Key value stores allow the application to store its data in a schema-less way. The data can be stored in a datatype of a programming language or an object. This removes the need for a fixed data model. Key value stores refers to a general concept of database where entities (values) are indexed using a unique key.

This is the fourth article in our series identifying the finest open source software for Big Data. The earlier articles covered Search Engines, Data Analysis tools and File Systems. This feature highlights the finest open source key value stores. Hopefully, there will be something of interest for anyone who needs to store millions of data records, to help in statistical or real-time analysis.

Now, let's explore the 9 key value stores at hand. For each title we have compiled its own portal page, a full description with an in-depth analysis of its features, together with links to relevant resources and reviews.

Key Value Stores
Aerospike CE Real-time NoSQL database and key-value store
LevelDB Fast and lightweight key/value database library by Google
Scalaris Distributed transactional key-value store
Project Voldemort Distributed data store that is designed as a key-value store used by LinkedIn
HyperDex Distributed, searchable, and consistent key-value store
Berkeley DB Family of open source, embeddable databases
Apache Accumulo Based on Google's BigTable design
Redis Advanced key-value store in a similar vein to memcache
Apache Cassandra Distributed database management system

Return to our complete collection of Group Tests, identifying the finest Linux software.

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Last Updated Monday, July 08 2013 @ 03:54 PM EDT


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