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DBMS > Hypertable vs. Kinetica vs. OmniSci vs. Spark SQL

System Properties Comparison Hypertable vs. Kinetica vs. OmniSci vs. Spark SQL

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonSpark SQL  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 datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelWide column storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.54
Rank#194  Overall
#96  Relational DBMS
Score1.80
Rank#109  Overall
#54  Relational DBMS
Score16.15
Rank#35  Overall
#21  Relational DBMS
Websitewww.kinetica.comwww.omnisci.comspark.apache.org/­sql
Technical documentationwww.kinetica.com/­docswww.omnisci.com/­docs/­latestspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperHypertable Inc.KineticaMapD Technologies, Inc.Apache Software Foundation
Initial release2009201220162014
Current release0.9.8.11, March 20166.0V4v2.4.4, September 2019
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0
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++ and CUDAScala
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxLinuxLinux
OS X
Windows
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 scansyesnono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesSQL-like DML and DDL statements
APIs and other access methodsC++ API
Thrift
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoRound robinyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMaster-slave replicationMaster-master replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 RAMyesno
User concepts infoAccess controlnoAccess rights for users and roles on table levelfine grained access rights according to SQL-standardno

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More resources
HypertableKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018Spark SQL
Conferences and events

Spark Summit Europe 2019
Amsterdam, Netherlands, 15-17 October 2019

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