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

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

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFirebolt  Xexclude from comparisonGeoSpock  Xexclude from comparisonKeyDB  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 durabilityHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseSpatial and temporal data processing engine for extreme data scaleAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value storeKey-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score1.49
Rank#148  Overall
#68  Relational DBMS
Score0.63
Rank#232  Overall
#32  Key-value stores
Score2.84
Rank#97  Overall
#16  Key-value stores
Websitewww.datomic.comwww.firebolt.iogeospock.comgithub.com/­Snapchat/­KeyDB
keydb.dev
rocksdb.org
Technical documentationdocs.datomic.comdocs.firebolt.iodocs.keydb.devgithub.com/­facebook/­rocksdb/­wiki
DeveloperCognitectFirebolt Analytics Inc.GeoSpockEQ Alpha Technology Ltd.Facebook, Inc.
Initial release2012202020192013
Current release1.0.7180, July 20242.0, September 20199.4.0, June 2024
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialOpen Source infoBSD-3Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJava, JavascriptC++C++
Server operating systemsAll OS with a Java VMhostedhostedLinuxLinux
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesno
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 indexesyesyestemporal, categoricalyes infoby using the Redis Search moduleno
SQL infoSupport of SQLnoyesANSI SQL for query only (using Presto)nono
APIs and other access methodsRESTful HTTP API.Net
ODBC
RESTful HTTP API
JDBCProprietary protocol infoRESP - REdis Serialization ProtocoC++ API
Java API
Supported programming languagesClojure
Java
Go
JavaScript (Node.js)
Python
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++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction FunctionsnonoLuano
TriggersBy using transaction functionsnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersAutomatic shardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersdepending on storage layerMulti-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 ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoOptimistic locking, atomic execution of commands blocks and scriptsyes
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)yesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
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 ACLno

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More resources
DatomicFireboltGeoSpockKeyDBRocksDB
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