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DBMS > Datomic vs. IBM Db2 warehouse vs. Kingbase vs. SAP SQL Anywhere vs. TimescaleDB

System Properties Comparison Datomic vs. IBM Db2 warehouse vs. Kingbase vs. SAP SQL Anywhere vs. TimescaleDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonKingbase  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityCloud-based data warehousing serviceAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitewww.datomic.comwww.ibm.com/­products/­db2/­warehousewww.kingbase.com.cnwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.timescale.com
Technical documentationdocs.datomic.comhelp.sap.com/­docs/­SAP_SQL_Anywheredocs.timescale.com
DeveloperCognitectIBMBeiJing KINGBASE Information technologies inc.SAP infoformerly SybaseTimescale
Initial release20122014199919922017
Current release1.0.7075, December 2023V8.0, August 202117, July 20152.15.0, May 2024
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC and JavaC
Server operating systemsAll OS with a Java VMhostedLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nono infoImport/export of XML data possibleyesyesyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyesStandard with numerous extensionsyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsRESTful HTTP API.NET Client API
JDBC
ODBC
OLE DB
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
ADO.NET
HTTP API
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesClojure
Java
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoTransaction FunctionsPL/SQL, SQL PLuser defined functionsyes, in C/C++, Java, .Net or Perluser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
TriggersBy using transaction functionsyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardinghorizontal partitioning (by range, list and hash) and vertical partitioningnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesyesSource-replica replication infoDatabase mirroringSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
DatomicIBM Db2 warehouse infoformerly named IBM dashDBKingbaseSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTimescaleDB
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