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DBMS > Datomic vs. InterSystems Caché vs. Microsoft SQL Server vs. RocksDB vs. TerarkDB

System Properties Comparison Datomic vs. InterSystems Caché vs. Microsoft SQL Server vs. RocksDB vs. TerarkDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRocksDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is 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 serverMicrosofts flagship relational DBMSEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSKey-value storeKey-value store
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score829.80
Rank#3  Overall
#3  Relational DBMS
Score4.00
Rank#84  Overall
#11  Key-value stores
Score0.04
Rank#377  Overall
#58  Key-value stores
Websitewww.datomic.comwww.intersystems.com/­products/­cachewww.microsoft.com/­en-us/­sql-serverrocksdb.orggithub.com/­bytedance/­terarkdb
Technical documentationdocs.datomic.comdocs.intersystems.comlearn.microsoft.com/­en-US/­sql/­sql-servergithub.com/­facebook/­rocksdb/­wikibytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperCognitectInterSystemsMicrosoftFacebook, Inc.ByteDance, originally Terark
Initial release20121997198920132016
Current release1.0.6735, June 20232018.1.4, May 2020SQL Server 2022, November 20228.11.4, April 2024
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercial inforestricted free version is availableOpen Source infoBSDcommercial inforestricted open source version available
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, ClojureC++C++C++
Server operating systemsAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
Data schemeyesdepending on used data modelyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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.noyesyesnono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLnoyesyesnono
APIs and other access methodsRESTful HTTP API.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
C++ API
Java API
C++ API
Java API
Supported programming languagesClojure
Java
C#
C++
Java
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C++
Go
Java
Perl
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresyes infoTransaction FunctionsyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanono
TriggersBy using transaction functionsyesyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnonetables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationyes, but depending on the SQL-Server Editionyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDyesno
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 developmentyesyesyesyes
User concepts infoAccess controlnoAccess rights for users, groups and rolesfine grained access rights according to SQL-standardnono

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Speedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
DatomicInterSystems CachéMicrosoft SQL ServerRocksDBTerarkDB
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