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DBMS > Datomic vs. Hypertable vs. Ingres vs. SAP SQL Anywhere

System Properties Comparison Datomic vs. Hypertable vs. Ingres vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHypertable  Xexclude from comparisonIngres  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn open source BigTable implementation based on distributed file systems such as HadoopWell established RDBMSRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.82
Rank#127  Overall
#62  Relational DBMS
Score5.50
Rank#68  Overall
#37  Relational DBMS
Score5.68
Rank#65  Overall
#35  Relational DBMS
Websitewww.datomic.comwww.actian.com/­data-management/­ingres-sql-rdbmswww.sap.com/­products/­sql-anywhere.html
Technical documentationdocs.datomic.comdocs.actian.com/­ingreshelp.sap.com/­sql-anywhere
DeveloperCognitectHypertable Inc.Actian CorporationSAP infoformerly Sybase
Initial release201220091974 infooriginally developed at University Berkely in early 1970s1992
Current release0.9.5951, July 20190.9.8.11, March 201611.0, April 201717, July 2015
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGNU version 3. Commercial license availablecommercialcommercial
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 languageJava, ClojureC++C
Server operating systemsAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 infobut tools for importing/exporting data from/to XML-files availableyes
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLnonoyesyes
APIs and other access methodsRESTful HTTP APIC++ API
Thrift
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesClojure
Java
C++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyesyes, in C/C++, Java, .Net or Perl
TriggersBy using transaction functionsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslynone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersselectable replication factor on file system levelIngres ReplicatorSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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 developmentnoyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
DatomicHypertableIngresSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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