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

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

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonDatomic  Xexclude from comparisonNSDb  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityDatomic 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 distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSRelational DBMSTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.datomic.comnsdb.iowww.transwarp.cn/­en/­product/­stellardb
Technical documentationdocs.databend.comdocs.datomic.comnsdb.io/­Architecture
DeveloperDatabend LabsCognitectTranswarp
Initial release202120122017
Current release1.0.59, April 20231.0.6735, June 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infolimited edition freeOpen 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 languageRustJava, ClojureJava, Scala
Server operating systemshosted
Linux
macOS
All OS with a Java VMLinux
macOS
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, string
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 indexesnoyesall fields are automatically indexed
SQL infoSupport of SQLyesnoSQL-like query languageSQL-like query language
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
RESTful HTTP APIgRPC
HTTP REST
WebSocket
OpenCypher
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Clojure
Java
Java
Scala
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsno
TriggersnoBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes 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 development
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesnoyes

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DatabendDatomicNSDbTranswarp StellarDB
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