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DBMS > HEAVY.AI vs. jBASE vs. Kdb vs. Kinetica vs. LevelDB

System Properties Comparison HEAVY.AI vs. jBASE vs. Kdb vs. Kinetica vs. LevelDB

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonjBASE  Xexclude from comparisonKdb  Xexclude from comparisonKinetica  Xexclude from comparisonLevelDB  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA robust multi-value DBMS comprising development tools and middlewareHigh performance Time Series DBMSFully vectorized database across both GPUs and CPUsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelRelational DBMSMultivalue 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
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasekx.comwww.kinetica.comgithub.com/­google/­leveldb
Technical documentationdocs.heavy.aidocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9code.kx.comdocs.kinetica.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperHEAVY.AI, Inc.Rocket Software (formerly Zumasys)Kx Systems, a division of First Derivatives plcKineticaGoogle
Initial release201619912000 infokdb was released 2000, kdb+ in 200320122011
Current release5.10, January 20225.73.6, May 20187.1, August 20211.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialcommercial infofree 32-bit versioncommercialOpen Source infoBSD
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 languageC++ and CUDAqC, C++C++
Server operating systemsLinuxAIX
Linux
Windows
Linux
OS X
Solaris
Windows
LinuxIllumos
Linux
OS X
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyesno
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.noyesyesnono
Secondary indexesnoyes infotable attribute 'grouped'yesno
SQL infoSupport of SQLyesEmbedded SQL for jBASE in BASICSQL-like query language (q)SQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
.Net
Basic
Jabbascript
Java
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresnoyesuser defined functionsuser defined functionsno
Triggersnoyesyes infowith viewsyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardinghorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesSource-replica replicationSource-replica replicationnone
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 Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelrights management via user accountsAccess rights for users and roles on table levelno
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022jBASEKdbKineticaLevelDB
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
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022jBASEKdbKineticaLevelDB
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