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DBMS > Datomic vs. KeyDB vs. RDF4J vs. RocksDB

System Properties Comparison Datomic vs. KeyDB vs. RDF4J vs. RocksDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonKeyDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Embeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSKey-value storeRDF storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score0.69
Rank#230  Overall
#9  RDF stores
Score3.65
Rank#85  Overall
#11  Key-value stores
Websitewww.datomic.comgithub.com/­Snapchat/­KeyDB
keydb.dev
rdf4j.orgrocksdb.org
Technical documentationdocs.datomic.comdocs.keydb.devrdf4j.org/­documentationgithub.com/­facebook/­rocksdb/­wiki
DeveloperCognitectEQ Alpha Technology Ltd.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Facebook, Inc.
Initial release2012201920042013
Current release1.0.6735, June 20238.11.4, April 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoBSD-3Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++JavaC++
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
Unix
Windows
Linux
Data schemeyesschema-freeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesno
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.nonono
Secondary indexesyesyes infoby using the Redis Search moduleyesno
SQL infoSupport of SQLnononono
APIs and other access methodsRESTful HTTP APIProprietary protocol infoRESP - REdis Serialization ProtocoJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
C++ API
Java API
Supported programming languagesClojure
Java
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Java
PHP
Python
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction FunctionsLuayesno
TriggersBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsACID infoIsolation support depends on the API usedyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes infoin-memory storage is supported as wellyes
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 developmentyesyes
User concepts infoAccess controlnosimple password-based access control and ACLnono

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Related products and services
3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
DatomicKeyDBRDF4J infoformerly known as SesameRocksDB
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