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DBMS > Datomic vs. NSDb vs. Tigris vs. Transwarp StellarDB

System Properties Comparison Datomic vs. NSDb vs. Tigris vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonNSDb  Xexclude from comparisonTigris  Xexclude from comparisonTranswarp StellarDB  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 KubernetesA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructureA distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSTime Series DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websitewww.datomic.comnsdb.iowww.tigrisdata.comwww.transwarp.cn/­en/­product/­stellardb
Technical documentationdocs.datomic.comnsdb.io/­Architecturewww.tigrisdata.com/­docs
DeveloperCognitectTigris Data, Inc.Transwarp
Initial release201220172022
Current release1.0.7075, December 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJava, Scala
Server operating systemsAll OS with a Java VMLinux
macOS
Linux
macOS
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyes
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 indexedyes
SQL infoSupport of SQLnoSQL-like query languagenoSQL-like query language
APIs and other access methodsRESTful HTTP APIgRPC
HTTP REST
WebSocket
CLI Client
gRPC
RESTful HTTP API
OpenCypher
Supported programming languagesClojure
Java
Java
Scala
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresyes infoTransaction Functionsnono
TriggersBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardinghorizontal 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 methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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)Using Apache Luceneyes, using FoundationDByes
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 development
User concepts infoAccess controlnoAccess rights for users and rolesyes

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More resources
DatomicNSDbTigrisTranswarp StellarDB
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