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DBMS > Drizzle vs. EsgynDB vs. Kinetica vs. OmniSci vs. PouchDB

System Properties Comparison Drizzle vs. EsgynDB vs. Kinetica vs. OmniSci vs. PouchDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonEsgynDB  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonPouchDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#264  Overall
#124  Relational DBMS
Score0.56
Rank#199  Overall
#96  Relational DBMS
Score2.37
Rank#105  Overall
#51  Relational DBMS
Score2.93
Rank#89  Overall
#16  Document stores
Websiteesgyn.comwww.kinetica.comwww.omnisci.compouchdb.com
Technical documentationesgyn.com/­developerswww.kinetica.com/­docsdocs.omnisci.com/­latestpouchdb.com/­guides
DeveloperDrizzle project, originally started by Brian AkerEsgynKineticaMapD Technologies, Inc.Apache Software Foundation
Initial release20082015201220162012
Current release7.2.4, September 20126.0V47.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++, JavaC, C++C++ and CUDAJavaScript
Server operating systemsFreeBSD
Linux
OS X
LinuxLinuxLinuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesyesyesnoyes infovia views
SQL infoSupport of SQLyes infowith proprietary extensionsyesSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C++
Java
PHP
All languages supporting JDBC/ODBC/ADO.NetC++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
JavaScript
Server-side scripts infoStored proceduresnoJava Stored Proceduresuser defined functionsnoView functions in JavaScript
Triggersno infohooks for callbacks inside the server can be used.noyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoRound robinSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-master replication between multi datacentersMaster-slave replicationMaster-master replicationMaster-master replication infoalso with CouchDB databases
Master-slave replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardAccess rights for users and roles on table levelfine grained access rights according to SQL-standardno
More information provided by the system vendor
DrizzleEsgynDBKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018PouchDB
Specific characteristicsCapabilities for Operational/Transactional Workloads Deep Integration with HBase...
» more
Competitive advantagesEsgynDB is ideally suited to supporting Hybrid Transactional and Analytical Processing...
» more
Typical application scenariosIdeally suited to scenarios where high speed continuous data ingestion is required...
» more
Key customersEsgynDB's customers are worldwide, with several in the Global Fortune 500, including...
» more
Licensing and pricing modelsEsgynDB Enterprise Edition is the commercially supported version of Apache Trafodion...
» more

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More resources
DrizzleEsgynDBKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018PouchDB
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