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Hypertable is a high performance, open source, massively scalable database modeled after Bigtable, Google's proprietary, massively scalable database.
• Database integrity check/repair tool • High Performance: C++ implementation for optimum performance • Comprehensive Language Support: Java, Node.js, PHP, Python, Perl, Ruby, • Bypassing commit log (wal) writes provides a way to significantly increase bulk loading performance • Cluster administration tool • CellStore salvage tool
• Open source
• Open source
Small (<50 employees), Medium (50 to 1000 Enterprise (>1001 employees)
What is best?
• Database integrity check/repair tool • High Performance: C++ implementation for optimum performance • Comprehensive Language Support: Java, Node.js, PHP, Python, Perl, Ruby,
What are the benefits?
• Good fit for wide range of applications: Keeps data physically sorted by a primary key; it is well-suited to a broad set of applications • Cost savings: Deliver equivalent database capacity on a fraction of the hardware • Provides a scalable solution to store data indexed by a primary key that can be queried online • Higher throughput is achieved which means more work can be accomplished in a given amount of time
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Hypertable delivers scalable database capacity at maximum performance to speed up big data application and reduce hardware footprint.
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Hypertable is a high performance, open source, massively scalable database modeled after Bigtable, Google's proprietary, massively scalable database. Hypertable was designed for the express purpose of solving the scalability problem, a problem that is not handled well by a traditional RDBMS. Hypertable delivers maximum efficiency and superior performance over the competition which translates into major cost savings. Tables in Hypertable can be thought of as massive tables of data, sorted by a single primary key, the row key. Like a relational database, Hypertable represents data as tables of information. Each row in a table has cells containing related information, and each cell is identified, in part, by a row key and column name. Support for up to 255 column names is provided when the table is created. Hypertable extends the traditional two-dimensional table model by adding a third dimension: timestamp. This timestamp dimension can be thought of as representing different versions of each table cell, as illustrated in the following diagram. Hypertable seamlessly overlays on top of Hadoop to provide supercharged scalable database infastructure for your big data application. Hypertable is a consistent database. Many of the scalable NoSQL database offerings are designed around the concept of eventual consistency which makes those databases more difficult to reason about. When an application writes data into Hypertable and gets a success response, the modification is durable and will always be reflected in subsequent operations. For live applications, Hypertable can help deliver a much more responsive user experience by reducing overall request latency. For offline applications, higher throughput is achieved which means more work can be accomplished in a given amount of time.
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