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DBMS > Apache Druid vs. HEAVY.AI vs. Kinetica vs. RDFox vs. SAP SQL Anywhere

System Properties Comparison Apache Druid vs. HEAVY.AI vs. Kinetica vs. RDFox vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKinetica  Xexclude from comparisonRDFox  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareFully vectorized database across both GPUs and CPUsHigh performance knowledge graph and semantic reasoning engineRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitedruid.apache.orggithub.com/­heavyai/­heavydb
www.heavy.ai
www.kinetica.comwww.oxfordsemantic.techwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.heavy.aidocs.kinetica.comdocs.oxfordsemantic.techhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperApache Software Foundation and contributorsHEAVY.AI, Inc.KineticaOxford Semantic TechnologiesSAP infoformerly Sybase
Initial release20122016201220171992
Current release29.0.1, April 20245.10, January 20227.1, August 20216.0, Septermber 202217, July 2015
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2; enterprise edition availablecommercialcommercialcommercial
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 languageJavaC++ and CUDAC, C++C++
Server operating systemsLinux
OS X
Unix
LinuxLinuxLinux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedyesyesyes infoRDF schemasyes
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.nononoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL for queryingyesSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
C++
Java
JavaScript (Node.js)
Python
C
Java
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined functionsyes, in C/C++, Java, .Net or Perl
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoRound robinShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replicationSource-replica replicationreplication via a shared file systemSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardAccess rights for users and roles on table levelRoles, resources, and access typesfine grained access rights according to SQL-standard

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More resources
Apache DruidHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KineticaRDFoxSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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