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DBMS > Hypertable vs. Kinetica vs. MemSQL vs. OmniSci

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

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonKinetica  Xexclude from comparisonMemSQL  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 datasetsMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storageA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelWide column storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.54
Rank#194  Overall
#96  Relational DBMS
Score3.68
Rank#73  Overall
#38  Relational DBMS
Score1.80
Rank#109  Overall
#54  Relational DBMS
Websitewww.kinetica.comwww.memsql.comwww.omnisci.com
Technical documentationwww.kinetica.com/­docsdocs.memsql.comwww.omnisci.com/­docs/­latest
DeveloperHypertable Inc.KineticaMemSQL Inc.MapD Technologies, Inc.
Initial release2009201220132016
Current release0.9.8.11, March 20166.06.8, August 2019V4
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialcommercial infofree developer edition availableOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++C++C++ and CUDA
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxLinux info64 bit version requiredLinux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nonono
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes, but no triggers and foreign keysyes
APIs and other access methodsC++ API
Thrift
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnouser defined functionsyesno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding 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 methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency only within each nodeImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoOnly isolation level: READ COMMITEDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlnoAccess rights for users and roles on table levelfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
HypertableKineticaMemSQLOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsMemSQL is The No Limits Database™, powering modern applications and analytical systems...
» more
Competitive advantagesPerformance - Shattering the Trillion-Rows-Per-Second Barrier Fast data ingest -...
» more
Typical application scenariosReal-Time Analytics Internet of Things Personalization and Recommendations Risk Management...
» more
Key customersComcast - Real-time Stream Processing Architecture DellEMC - Getting it Right Exactly...
» more
Market metricsCustomers in various industries worldwide -- US and International Industry Solutions:...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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HypertableKineticaMemSQLOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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