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DBMS > Hypertable vs. Kinetica vs. MongoDB vs. OmniSci

System Properties Comparison Hypertable vs. Kinetica vs. MongoDB vs. OmniSci

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonKinetica  Xexclude from comparisonMongoDB  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopGPU-accelerated database for real-time analysis of large and streaming datasetsOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelWide column storeRelational DBMSDocument storeRelational DBMS
Secondary database modelsSearch engine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.53
Rank#199  Overall
#96  Relational DBMS
Score412.09
Rank#5  Overall
#1  Document stores
Score2.08
Rank#105  Overall
#51  Relational DBMS
Websitewww.kinetica.comwww.mongodb.comwww.omnisci.com
Technical documentationwww.kinetica.com/­docsdocs.mongodb.com/­manualwww.omnisci.com/­docs/­latest
DeveloperHypertable Inc.KineticaMongoDB, IncMapD Technologies, Inc.
Initial release2009201220092016
Current release0.9.8.11, March 20166.04.2, August 2019V4
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Deploy a fully managed cloud database on-demand and ready for use in minutes. Available on AWS, Azure, and GCP.
Implementation languageC++C, C++C++C++ and CUDA
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxLinux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yes
Typing infopredefined data types such as float or datenoyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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.nono
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsRead-only SQL queries via the MongoDB Connector for BIyes
APIs and other access methodsC++ API
Thrift
RESTful HTTP API
JDBC
ODBC
proprietary protocol using JSONThrift
JDBC
ODBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Actionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go
Groovy infoinofficial driver
Haskell
Java
JavaScript
Lisp infoinofficial driver
Lua infoinofficial driver
MatLab infoinofficial driver
Perl
PHP
PowerShell infoinofficial driver
Prolog infoinofficial driver
Python
R infoinofficial driver
Ruby
Scala
Smalltalk infoinofficial driver
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnouser defined functionsJavaScriptno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infopartitioned by hashed, ranged, or zoned sharding keysSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMaster-slave replicationMaster-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynoyesno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoMulti-document ACID Transactions with snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlnoAccess rights for users and roles on table levelAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
HypertableKineticaMongoDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsMongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Competitive advantagesThe MongoDB Data Platform can be used by developers building OLTP and analytical...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics70 million downloads (growing at more than 30 thousand downloads per day). 15,000+...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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