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DBMS > Datomic vs. NSDb vs. Sphinx vs. SurrealDB vs. Transwarp StellarDB

System Properties Comparison Datomic vs. NSDb vs. Sphinx vs. SurrealDB vs. Transwarp StellarDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonNSDb  Xexclude from comparisonSphinx  Xexclude from comparisonSurrealDB  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 KubernetesOpen source search engine for searching in data from different sources, e.g. relational databasesA fully ACID transactional, developer-friendly, multi-model DBMSA distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSTime Series DBMSSearch engineDocument store
Graph DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Score0.00
Rank#383  Overall
#39  Graph DBMS
Websitewww.datomic.comnsdb.iosphinxsearch.comsurrealdb.comwww.transwarp.cn/­en/­product/­stellardb
Technical documentationdocs.datomic.comnsdb.io/­Architecturesphinxsearch.com/­docssurrealdb.com/­docs
DeveloperCognitectSphinx Technologies Inc.SurrealDB LtdTranswarp
Initial release2012201720012022
Current release1.0.6735, June 20233.5.1, February 2023v1.1.1, January 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJava, ScalaC++Rust
Server operating systemsAll OS with a Java VMLinux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringnoyes
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.nono
Secondary indexesyesall fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language (SphinxQL)SQL-like query languageSQL-like query language
APIs and other access methodsRESTful HTTP APIgRPC
HTTP REST
WebSocket
Proprietary protocolGraphQL
RESTful HTTP API
WebSocket
OpenCypher
Supported programming languagesClojure
Java
Java
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Deno
Go
JavaScript (Node.js)
Rust
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 peersShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 dataACIDnonoACID
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)Using Apache Luceneyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
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 controlnonoyes, based on authentication and database rulesyes

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More resources
DatomicNSDbSphinxSurrealDBTranswarp StellarDB
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