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DBMS > Datomic vs. InterSystems Caché vs. Microsoft Azure Synapse Analytics vs. OpenEdge vs. Teradata Aster

System Properties Comparison Datomic vs. InterSystems Caché vs. Microsoft Azure Synapse Analytics vs. OpenEdge vs. Teradata Aster

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOpenEdge  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA multi-model DBMS and application serverElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerApplication development environment with integrated database management systemPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Websitewww.datomic.comwww.intersystems.com/­products/­cacheazure.microsoft.com/­services/­synapse-analyticswww.progress.com/­openedge
Technical documentationdocs.datomic.comdocs.intersystems.comdocs.microsoft.com/­azure/­synapse-analyticsdocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperCognitectInterSystemsMicrosoftProgress Software CorporationTeradata
Initial release20121997201619842005
Current release1.0.6735, June 20232018.1.4, May 2020OpenEdge 12.2, March 2020
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialcommercialcommercial
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 languageJava, ClojureC++
Server operating systemsAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hostedAIX
HP-UX
Linux
Solaris
Windows
Linux
Data schemeyesdepending on used data modelyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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.noyesnoyesyes infoin Aster File Store
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyesyesyes infoclose to SQL 92yes
APIs and other access methodsRESTful HTTP API.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesClojure
Java
C#
C++
Java
C#
Java
PHP
Progress proprietary ABL (Advanced Business Language)C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes infoTransaction FunctionsyesTransact SQLyesR packages
TriggersBy using transaction functionsyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneSharding, horizontal partitioninghorizontal partitioning infosince Version 11.4Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationyesSource-replica replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesno
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 developmentyesnono
User concepts infoAccess controlnoAccess rights for users, groups and rolesyesUsers and groupsfine grained access rights according to SQL-standard

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More resources
DatomicInterSystems CachéMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOpenEdgeTeradata Aster
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