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DBMS > NSDb vs. RDFox vs. SingleStore vs. TDengine

System Properties Comparison NSDb vs. RDFox vs. SingleStore vs. TDengine

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Editorial information provided by DB-Engines
NameNSDb  Xexclude from comparisonRDFox  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesHigh performance knowledge graph and semantic reasoning engineMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeTime Series DBMS and big data platform
Primary database modelTime Series DBMSGraph DBMS
RDF store
Relational DBMSTime Series DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score0.22
Rank#305  Overall
#25  Graph DBMS
#15  RDF stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score2.48
Rank#107  Overall
#9  Time Series DBMS
Websitensdb.iowww.oxfordsemantic.techwww.singlestore.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationnsdb.io/­Architecturedocs.oxfordsemantic.techdocs.singlestore.comdocs.tdengine.com
DeveloperOxford Semantic TechnologiesSingleStore Inc.TDEngine, previously Taos Data
Initial release2017201720132019
Current release6.0, Septermber 20228.5, January 20243.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree developer edition availableOpen Source infoAGPL V3, also commercial editions available
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, ScalaC++C++, GoC
Server operating systemsLinux
macOS
Linux
macOS
Windows
Linux info64 bit version requiredLinux
Windows
Data schemeyes infoRDF schemasyesyes
Typing infopredefined data types such as float or dateyes: int, bigint, decimal, stringyesyesyes
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 indexesall fields are automatically indexedyesno
SQL infoSupport of SQLSQL-like query languagenoyes infobut no triggers and foreign keysStandard SQL with extensions for time-series applications
APIs and other access methodsgRPC
HTTP REST
WebSocket
RESTful HTTP API
SPARQL 1.1
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
JDBC
RESTful HTTP API
Supported programming languagesJava
Scala
C
Java
Bash
C
C#
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyesno
Triggersnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infohash partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesreplication via a shared file systemSource-replica replication infostores two copies of each physical data partition on two separate nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentUsing Apache Luceneyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlRoles, resources, and access typesFine grained access control via users, groups and rolesyes
More information provided by the system vendor
NSDbRDFoxSingleStore infoformer name was MemSQLTDengine
Specific characteristicsTDengineā„¢ is a time-series database designed to help traditional industries overcome...
» more
Competitive advantagesHigh Performance at Any Scale: With its distributed scalable architecture that grows...
» more
Typical application scenariosTDengine is purpose-built for Industry 4.0 and the Industrial IoT (IIoT) and particularly...
» more
Market metricsTDengine has garnered over 23,000 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is free, open-source software released under the AGPLv3. TDengine Enterprise...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
NSDbRDFoxSingleStore infoformer name was MemSQLTDengine
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