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DBMS > Atos Standard Common Repository vs. STSdb vs. TDengine vs. Transwarp Hippo

System Properties Comparison Atos Standard Common Repository vs. STSdb vs. TDengine vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonSTSdb  Xexclude from comparisonTDengine  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodTime Series DBMS and big data platformCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelDocument store
Key-value store
Key-value storeTime Series DBMSVector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#360  Overall
#52  Key-value stores
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score0.00
Rank#383  Overall
#13  Vector DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­STSSoft/­STSdb4github.com/­taosdata/­TDengine
tdengine.com
www.transwarp.cn/­en/­subproduct/­hippo
Technical documentationdocs.tdengine.com
DeveloperAtos Convergence CreatorsSTS Soft SCTDEngine, previously Taos Data
Initial release2016201120192023
Current release17034.0.8, September 20153.0, August 20221.0, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, commercial license availableOpen Source infoAGPL V3, also commercial editions availablecommercial
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 languageJavaC#CC++
Server operating systemsLinuxWindowsLinux
Windows
Linux
macOS
Data schemeSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateoptionalyes infoprimitive types and user defined types (classes)yesVector, Numeric and 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.yesnono
Secondary indexesyesnonono
SQL infoSupport of SQLnonoStandard SQL with extensions for time-series applicationsno
APIs and other access methodsLDAP.NET Client APIJDBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsC#
Java
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C++
Java
Python
Server-side scripts infoStored proceduresnononono
Triggersyesnoyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnono
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.yesyes
User concepts infoAccess controlLDAP bind authenticationnoyesRole based access control and fine grained access rights
More information provided by the system vendor
Atos Standard Common RepositorySTSdbTDengineTranswarp Hippo
Specific characteristicsTDengineā„¢ 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
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More resources
Atos Standard Common RepositorySTSdbTDengineTranswarp Hippo
Recent citations in the news

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

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provided by Google News



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