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DBMS > Datomic vs. Drizzle vs. gStore vs. RocksDB

System Properties Comparison Datomic vs. Drizzle vs. gStore vs. RocksDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDrizzle  Xexclude from comparisongStore  Xexclude from comparisonRocksDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A native Graph DBMS to store and maintain very large RDF datasets.Embeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSRelational DBMSGraph DBMS
RDF store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.14
Rank#342  Overall
#34  Graph DBMS
#16  RDF stores
Score3.41
Rank#86  Overall
#11  Key-value stores
Websitewww.datomic.comen.gstore.cnrocksdb.org
Technical documentationdocs.datomic.comen.gstore.cn/­#/­enDocsgithub.com/­facebook/­rocksdb/­wiki
DeveloperCognitectDrizzle project, originally started by Brian AkerFacebook, Inc.
Initial release2012200820162013
Current release1.0.7075, December 20237.2.4, September 20121.2, November 20239.2.1, May 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGNU GPLOpen Source infoBSDOpen 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++C++C++
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
LinuxLinux
Data schemeyesyesschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesno
SQL infoSupport of SQLnoyes infowith proprietary extensionsnono
APIs and other access methodsRESTful HTTP APIJDBCHTTP API
SPARQL 1.1
C++ API
Java API
Supported programming languagesClojure
Java
C
C++
Java
PHP
C++
Java
JavaScript (Node.js)
PHP
Python
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyesno
TriggersBy using transaction functionsno infohooks for callbacks inside the server can be used.
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardinghorizontal 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
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesyes
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)yesyesyes
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 developmentnoyes
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers, roles and permissions, Role-Based Access Control (RBAC) supportedno

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More resources
DatomicDrizzlegStoreRocksDB
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