![]() It appears to be the project of a Korean developer named YKKwon. Cloud DataĬloud Data is Distributed Large scale Structured Data Storage, and open source project implementing Google’s Bigtable. With Amazon SimpleDB, you can focus on application development without worrying about infrastructure provisioning, high availability, software maintenance, schema and index management, or performance tuning. You can change your data model on the fly, and data is automatically indexed for you. The service charges you only for the resources actually consumed in storing your data and serving your requests. Behind the scenes, Amazon SimpleDB creates and manages multiple geographically distributed replicas of your data automatically to enable high availability and data durability. Unbound by the strict requirements of a relational database, Amazon SimpleDB is optimized to provide high availability and flexibility, with little or no administrative burden. Developers simply store and query data items via web services requests and Amazon SimpleDB does the rest. Amazon SimpleDBĪmazon SimpleDB is a highly available and flexible non-relational data store that offloads the work of database administration. Apache Accumulo features a few novel improvements on the BigTable design in the form of cell-based access control and a server-side programming mechanism that can modify key/value pairs at various points in the data management process. AccumuloĪccumulo is based on Google’s BigTable design and is built on top of Apache Hadoop, Zookeeper, and Thrift. This page provides a brief overview of Hypertable, comparing it with a relational database, highlighting some of its unique features, and illustrating how it scales. Hypertable is a high performance, open source, massively scalable database modeled after Bigtable, Google’s proprietary, massively scalable database. Cassandra’s data model offers the convenience of column indexes with the performance of log-structured updates, strong support for denormalization and materialized views, and powerful built-in caching. ![]() ![]() Cassandra’s support for replicating across multiple datacentres is best-in-class, providing lower latency for your users and the peace of mind of knowing that you can survive regional outages. ![]() Linear scalability and proven fault-tolerance on commodity hardware or cloud infrastructure make it the perfect platform for mission-critical data. The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance. ![]() Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop and HDFS. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google’s Bigtable: A Distributed Storage System for Structured Data by Chang et al. This project’s goal is the hosting of very large tables billions of rows X millions of columns atop clusters of commodity hardware. Use Apache HBase when you need random, real-time read/write access to your Big Data. Complete list of NoSQL databases Wide Column Stores/Column Family databases: Hadoop/Hbase In this article, we will see a complete list of NoSQL databases. It is designed to accommodate a wide variety of data models, including key-value, document, columnar and graph formats. NoSQL is an alternative to traditional relational databases in which data is placed in tables and is useful for working with large sets of distributed data. ![]()
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