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DBMS > Datomic vs. GeoSpock vs. KeyDB vs. MonetDB vs. RocksDB

System Properties Comparison Datomic vs. GeoSpock vs. KeyDB vs. MonetDB vs. RocksDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGeoSpock  Xexclude from comparisonKeyDB  Xexclude from comparisonMonetDB  Xexclude from comparisonRocksDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilitySpatial and temporal data processing engine for extreme data scaleAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA relational database management system that stores data in columnsEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSKey-value store
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.63
Rank#232  Overall
#32  Key-value stores
Score1.72
Rank#135  Overall
#62  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Websitewww.datomic.comgeospock.comgithub.com/­Snapchat/­KeyDB
keydb.dev
www.monetdb.orgrocksdb.org
Technical documentationdocs.datomic.comdocs.keydb.devwww.monetdb.org/­Documentationgithub.com/­facebook/­rocksdb/­wiki
DeveloperCognitectGeoSpockEQ Alpha Technology Ltd.MonetDB BVFacebook, Inc.
Initial release2012201920042013
Current release1.0.7180, July 20242.0, September 2019Dec2023 (11.49), December 20239.4.0, June 2024
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoBSD-3Open Source infoMozilla Public License 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJava, JavascriptC++CC++
Server operating systemsAll OS with a Java VMhostedLinuxFreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyespartial 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.nononono
Secondary indexesyestemporal, categoricalyes infoby using the Redis Search moduleyesno
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)noyes infoSQL 2003 with some extensionsno
APIs and other access methodsRESTful HTTP APIJDBCProprietary protocol infoRESP - REdis Serialization ProtocoJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
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
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction FunctionsnoLuayes, in SQL, C, Rno
TriggersBy using transaction functionsnonoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersAutomatic shardingShardingSharding via remote tableshorizontal 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
none infoSource-replica replication available in experimental statusyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoOptimistic locking, atomic execution of commands blocks and scriptsACIDyes
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)yesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
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 developmentnoyesyes
User concepts infoAccess controlnoAccess rights for users can be defined per tablesimple password-based access control and ACLfine grained access rights according to SQL-standardno

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More resources
DatomicGeoSpockKeyDBMonetDBRocksDB
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