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DBMS > Datomic vs. GigaSpaces vs. Ingres vs. SAP SQL Anywhere vs. VelocityDB

System Properties Comparison Datomic vs. GigaSpaces vs. Ingres vs. SAP SQL Anywhere vs. VelocityDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGigaSpaces  Xexclude from comparisonIngres  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsWell established RDBMSRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.datomic.comwww.gigaspaces.comwww.actian.com/­databases/­ingreswww.sap.com/­products/­technology-platform/­sql-anywhere.htmlvelocitydb.com
Technical documentationdocs.datomic.comdocs.gigaspaces.com/­latest/­landing.htmldocs.actian.com/­ingreshelp.sap.com/­docs/­SAP_SQL_Anywherevelocitydb.com/­UserGuide
DeveloperCognitectGigaspaces TechnologiesActian CorporationSAP infoformerly SybaseVelocityDB Inc
Initial release201220001974 infooriginally developed at University Berkely in early 1970s19922011
Current release1.0.6735, June 202315.5, September 202011.2, May 202217, July 20157.x
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2; Commercial licenses 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 languageJava, ClojureJava, C++, .NetCC#
Server operating systemsAll OS with a Java VMLinux
macOS
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Any that supports .NET
Data schemeyesschema-freeyesyesyes
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.nono infoXML can be used for describing objects metadatano infobut tools for importing/exporting data from/to XML-files availableyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsyesyesno
APIs and other access methodsRESTful HTTP APIGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
HTTP API
JDBC
ODBC
.Net
Supported programming languagesClojure
Java
.Net
C++
Java
Python
Scala
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesyesyes, in C/C++, Java, .Net or Perlno
TriggersBy using transaction functionsyes, event driven architectureyesyesCallbacks are triggered when data changes
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 simultaneouslynoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Ingres ReplicatorSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
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 developmentyesnoyesyes
User concepts infoAccess controlnoRole-based access controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
DatomicGigaSpacesIngresSAP SQL Anywhere infoformerly called Adaptive Server AnywhereVelocityDB
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