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DBMS > Datomic vs. NSDb vs. RocksDB

System Properties Comparison Datomic vs. NSDb vs. RocksDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonNSDb  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score4.00
Rank#84  Overall
#11  Key-value stores
Websitewww.datomic.comnsdb.iorocksdb.org
Technical documentationdocs.datomic.comnsdb.io/­Architecturegithub.com/­facebook/­rocksdb/­wiki
DeveloperCognitectFacebook, Inc.
Initial release201220172013
Current release1.0.6735, June 20238.11.4, April 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJava, ScalaC++
Server operating systemsAll OS with a Java VMLinux
macOS
Linux
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringno
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 indexesyesall fields are automatically indexedno
SQL infoSupport of SQLnoSQL-like query languageno
APIs and other access methodsRESTful HTTP APIgRPC
HTTP REST
WebSocket
C++ API
Java API
Supported programming languagesClojure
Java
Java
Scala
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsnono
TriggersBy using transaction functions
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 peersyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)Using Apache Luceneyes
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 developmentyes
User concepts infoAccess controlnono

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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
DatomicNSDbRocksDB
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