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DBMS > SiteWhere vs. Stardog vs. TDengine vs. Tkrzw

System Properties Comparison SiteWhere vs. Stardog vs. TDengine vs. Tkrzw

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Editorial information provided by DB-Engines
NameSiteWhere  Xexclude from comparisonStardog  Xexclude from comparisonTDengine  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionM2M integration platform for persisting/querying time series dataEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationTime Series DBMS and big data platformA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelTime Series DBMSGraph DBMS
RDF store
Time Series DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitegithub.com/­sitewhere/­sitewherewww.stardog.comgithub.com/­taosdata/­TDengine
tdengine.com
dbmx.net/­tkrzw
Technical documentationsitewhere1.sitewhere.io/­index.htmldocs.stardog.comdocs.tdengine.com
DeveloperSiteWhereStardog-UnionTDEngine, previously Taos DataMikio Hirabayashi
Initial release2010201020192020
Current release7.3.0, May 20203.0, August 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoCommon Public Attribution License Version 1.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoAGPL V3, also commercial editions availableOpen Source infoApache Version 2.0
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 languageJavaJavaCC++
Server operating systemsLinux
OS X
Windows
Linux
macOS
Windows
Linux
Windows
Linux
macOS
Data schemepredefined schemeschema-free and OWL/RDFS-schema supportyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 infoImport/export of XML data possiblenono
Secondary indexesnoyes infosupports real-time indexing in full-text and geospatialno
SQL infoSupport of SQLnoYes, compatible with all major SQL variants through dedicated BI/SQL ServerStandard SQL with extensions for time-series applicationsno
APIs and other access methodsHTTP RESTGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
JDBC
RESTful HTTP API
Supported programming languages.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregates, HTTP Server extensions in Javanono
Triggersyes infovia event handlersyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on HBasenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on HBaseMulti-source replication in HA-Clusteryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing specific database classes
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights for users and rolesyesno
More information provided by the system vendor
SiteWhereStardogTDengineTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
News

Streamlining Time-Series Data Management with TDengine’s PostgreSQL Connector
12 June 2024

Enhancing IoT and Industrial Data Management with TDengine’s MySQL Connector
12 June 2024

Comprehensive Comparison Between TDengine and MongoDB
6 June 2024

Comprehensive Comparison Between TDengine and TimescaleDB
5 June 2024

Mastering Memory Leak Detection in TDengine
31 May 2024

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More resources
SiteWhereStardogTDengineTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Recent citations in the news

SiteWhere: An open platform for connected devices
11 July 2017, Open Source For You

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27 March 2023, Open Source For You

11 Best Open source IoT Platforms To Develop Smart Projects
9 March 2023, H2S Media

provided by Google News

TDengine named Top Global Industrial Data Management Solution
4 January 2024, IT Brief Australia

TDengine debuts cloud-based time-series data processing platform for IoT deployments
20 September 2022, SiliconANGLE News

New TDengine Benchmark Results Show Up to 37.0x Higher Query Performance Than InfluxDB and TimescaleDB
28 February 2023, Yahoo Finance

TDengine Brings Open Source Time-Series Database to Kubernetes
23 August 2022, Cloud Native Now

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

provided by Google News



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