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DBMS > Datomic vs. Graph Engine vs. InterSystems Caché vs. RocksDB vs. SurrealDB

System Properties Comparison Datomic vs. Graph Engine vs. InterSystems Caché vs. RocksDB vs. SurrealDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonRocksDB  Xexclude from comparisonSurrealDB  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 distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA multi-model DBMS and application serverEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSGraph DBMS
Key-value store
Key-value store
Object oriented DBMS
Relational DBMS
Key-value storeDocument store
Graph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score3.41
Rank#86  Overall
#11  Key-value stores
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitewww.datomic.comwww.graphengine.iowww.intersystems.com/­products/­cacherocksdb.orgsurrealdb.com
Technical documentationdocs.datomic.comwww.graphengine.io/­docs/­manualdocs.intersystems.comgithub.com/­facebook/­rocksdb/­wikisurrealdb.com/­docs
DeveloperCognitectMicrosoftInterSystemsFacebook, Inc.SurrealDB Ltd
Initial release20122010199720132022
Current release1.0.7075, December 20232018.1.4, May 20209.2.1, May 2024v1.5.0, May 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoMIT LicensecommercialOpen Source infoBSDOpen Source
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, Clojure.NET and CC++Rust
Server operating systemsAll OS with a Java VM.NETAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
LinuxLinux
macOS
Windows
Data schemeyesyesdepending on used data modelschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonoyesno
Secondary indexesyesyesno
SQL infoSupport of SQLnonoyesnoSQL-like query language
APIs and other access methodsRESTful HTTP APIRESTful HTTP API.NET Client API
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesClojure
Java
C#
C++
F#
Visual Basic
C#
C++
Java
C
C++
Go
Java
Perl
Python
Ruby
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesyesno
TriggersBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioningnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDyesACID
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)optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
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 developmentyesyesyes
User concepts infoAccess controlnoAccess rights for users, groups and rolesnoyes, based on authentication and database rules

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3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
DatomicGraph Engine infoformer name: TrinityInterSystems CachéRocksDBSurrealDB
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