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DBMS > Hypertable vs. Kinetica vs. OmniSci vs. TigerGraph

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

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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 comparisonTigerGraph  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 GPUsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelWide column storeRelational DBMSRelational DBMSGraph 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
Score0.85
Rank#160  Overall
#12  Graph DBMS
Websitewww.kinetica.comwww.omnisci.comwww.tigergraph.com
Technical documentationwww.kinetica.com/­docswww.omnisci.com/­docs/­latestwww.tigergraph.com/­documentation
DeveloperHypertable Inc.KineticaMapD Technologies, Inc.
Initial release2009201220162017
Current release0.9.8.11, March 20166.0V4
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoApache Version 2; enterprise edition availablecommercial
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 CUDAC++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxLinuxLinux
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 scansyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesSQL-like query language (GSQL)
APIs and other access methodsC++ API
Thrift
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
C++
Java
Server-side scripts infoStored proceduresnouser defined functionsnoyes
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 robin
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMaster-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
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-standardRole-based access control
More information provided by the system vendor
HypertableKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018TigerGraph
Specific characteristicsTigerGraph is a native graph database, with massively parallel processing and fully...
» more
Competitive advantagesTigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Typical application scenariosAnti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Key customersVisa, Uber, AliPay, SoftBank, Wish, China Mobile, State Grid of China, and Zillow
» more
Market metricsTigerGraph is 2x to more than 8000x faster at graph traversal and query response...
» more
Licensing and pricing modelsDeveloper & Enterprise Edition: https://www.tigergraph.com/download/ Pricing is available...
» more

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