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DBMS > HEAVY.AI vs. Kdb vs. Oracle Berkeley DB vs. RocksDB

System Properties Comparison HEAVY.AI vs. Kdb vs. Oracle Berkeley DB vs. RocksDB

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKdb  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareHigh performance Time Series DBMSWidely used in-process key-value storeEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Key-value store
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.30
Rank#127  Overall
#60  Relational DBMS
Score7.69
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score2.80
Rank#112  Overall
#20  Key-value stores
#3  Native XML DBMS
Score4.52
Rank#80  Overall
#10  Key-value stores
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
kx.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlrocksdb.org
Technical documentationdocs.heavy.aicode.kx.comdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlgithub.com/­facebook/­rocksdb/­wiki
DeveloperHEAVY.AI, Inc.Kx Systems, a division of First Derivatives plcOracle infooriginally developed by Sleepycat, which was acquired by OracleFacebook, Inc.
Initial release20162000 infokdb was released 2000, kdb+ in 200319942013
Current release5.10, January 20223.6, May 201818.1.40, May 20208.10.0, December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercial infofree 32-bit versionOpen Source infocommercial license availableOpen Source infoBSD
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++ and CUDAqC, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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.noyesyes infoonly with the Berkeley DB XML editionno
Secondary indexesnoyes infotable attribute 'grouped'yesno
SQL infoSupport of SQLyesSQL-like query language (q)yes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
C++ API
Java API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersnoyes infowith viewsyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinhorizontal partitioningnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsnono
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KdbOracle Berkeley DBRocksDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
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Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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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
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3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KdbOracle Berkeley DBRocksDB
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