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DBMS > AgensGraph vs. HEAVY.AI vs. Kdb vs. Kinetica vs. Oracle Coherence

System Properties Comparison AgensGraph vs. HEAVY.AI vs. Kdb vs. Kinetica vs. Oracle Coherence

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKdb  Xexclude from comparisonKinetica  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareHigh performance Time Series DBMSFully vectorized database across both GPUs and CPUsOracles in-memory data grid solution
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSTime Series DBMS
Vector DBMS
Relational DBMSKey-value store
Secondary database modelsSpatial DBMSRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Websitebitnine.net/­agensgraphgithub.com/­heavyai/­heavydb
www.heavy.ai
kx.comwww.kinetica.comwww.oracle.com/­java/­coherence
Technical documentationbitnine.net/­documentationdocs.heavy.aicode.kx.comdocs.kinetica.comdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperBitnine Global Inc.HEAVY.AI, Inc.Kx Systems, a division of First Derivatives plcKineticaOracle
Initial release201620162000 infokdb was released 2000, kdb+ in 200320122007
Current release2.1, December 20185.10, January 20223.6, May 20187.1, August 202114.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2; enterprise edition availablecommercial infofree 32-bit versioncommercialcommercial
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 languageCC++ and CUDAqC, C++Java
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Solaris
Windows
LinuxAll OS with a Java VM
Data schemedepending on used data modelyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesnono
Secondary indexesyesnoyes infotable attribute 'grouped'yesno
SQL infoSupport of SQLyesyesSQL-like query language (q)SQL-like DML and DDL statementsno
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
Thrift
Vega
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
RESTful HTTP API
JCache
JPA
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
All languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
C++
Java
Server-side scripts infoStored proceduresyesnouser defined functionsuser defined functionsno
Triggersnonoyes infowith viewsyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infoRound robinhorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationSource-replica replicationSource-replica replicationyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardrights management via user accountsAccess rights for users and roles on table levelauthentification to access the cache via certificates or http basic authentication
More information provided by the system vendor
AgensGraphHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KdbKineticaOracle Coherence
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
AgensGraphHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KdbKineticaOracle Coherence
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