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DBMS > Badger vs. HEAVY.AI vs. IBM Db2 warehouse vs. Kdb vs. Spark SQL

System Properties Comparison Badger vs. HEAVY.AI vs. IBM Db2 warehouse vs. Kdb vs. Spark SQL

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonKdb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareCloud-based data warehousing serviceHigh performance Time Series DBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeRelational DBMSRelational DBMSTime Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­heavyai/­heavydb
www.heavy.ai
www.ibm.com/­products/­db2/­warehousekx.comspark.apache.org/­sql
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.heavy.aicode.kx.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDGraph LabsHEAVY.AI, Inc.IBMKx Systems, a division of First Derivatives plcApache Software Foundation
Initial release2017201620142000 infokdb was released 2000, kdb+ in 20032014
Current release5.10, January 20223.6, May 20183.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availablecommercialcommercial infofree 32-bit versionOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++ and CUDAqScala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxhostedLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 infoImport/export of XML data possibleyesno
Secondary indexesnonoyesyes infotable attribute 'grouped'no
SQL infoSupport of SQLnoyesyesSQL-like query language (q)SQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Thrift
Vega
.NET Client API
JDBC
ODBC
OLE DB
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
Supported programming languagesGoAll languages supporting JDBC/ODBC/Thrift
Python
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonoPL/SQL, SQL PLuser defined functionsno
Triggersnonoyesyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinShardinghorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardrights management via user accountsno
More information provided by the system vendor
BadgerHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IBM Db2 warehouse infoformerly named IBM dashDBKdbSpark SQL
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...
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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...
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Licensing and pricing modelsupon request
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More resources
BadgerHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IBM Db2 warehouse infoformerly named IBM dashDBKdbSpark SQL
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