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Voldemort does not try to satisfy arbitrary relations and the ACID properties, but rather is a big, distributed, persistent hash table. [2] A 2012 study comparing systems for storing application performance management data reported that Voldemort, Apache Cassandra, and HBase all offered linear scalability in most cases, with Voldemort having the lowest latency and Cassandra having the highest ...
Free and open-source software portal; unixODBC is an open-source project that implements the Open Database Connectivity API. [2] The code is provided under the GNU GPL/LGPL and can be built and used on many different operating systems, including most versions of Unix, Linux, Mac OS X, IBM OS/2 and Microsoft's Interix.
A peer-to-peer (P2P) protocol can be used to access data directly from storage servers without proxying. Elliptics supports server-side scripting in C++, JavaScript, Python, based on the Cocaine technology, SLRU cache and multiple pluggable backends (eblob is the fastest for medium and large data and the most popular one).
Database name Language implemented in Notes Apache Doris Java & C++ Open source (since 2017), database for high-concurrency point queries and high-throughput analysis. Apache Druid: Java Started in 2011 for low-latency massive ingestion and queries. Support and extensions available from Imply Data. Apache Kudu: C++
Distributed SQL databases have the following general characteristics: synchronous replication; strong transactional consistency across at least availability zones (i.e. ACID compliance) [6] relational database front end structure – meaning data represented as tables with rows and columns similar to any other RDBMS; automatically sharded data ...
Virtuoso Universal Server is a middleware and database engine hybrid that combines the functionality of a traditional relational database management system (RDBMS), object–relational database (ORDBMS), virtual database, RDF, XML, free-text, web application server and file server functionality in a single system.
The user chooses a shard key, which determines how the data in a collection will be distributed. The data is split into ranges (based on the shard key) and distributed across multiple shards, which are masters with one or more replicas. Alternatively, the shard key can be hashed to map to a shard – enabling an even data distribution.
Older mainframe databases, and the newer microcomputer based systems that were based on them, generally did not have a SQL-like command processor between the user and the database engine. Instead, the data was accessed directly by the program – a programming library in the case of large mainframe systems, or a command line interface or ...