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DBMS > Graph Engine vs. Kinetica vs. Sadas Engine vs. Sphinx vs. TDengine

System Properties Comparison Graph Engine vs. Kinetica vs. Sadas Engine vs. Sphinx vs. TDengine

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonKinetica  Xexclude from comparisonSadas Engine  Xexclude from comparisonSphinx  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineFully vectorized database across both GPUs and CPUsSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen source search engine for searching in data from different sources, e.g. relational databasesTime Series DBMS and big data platform
Primary database modelGraph DBMS
Key-value store
Relational DBMSRelational DBMSSearch engineTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#241  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.00
Rank#385  Overall
#159  Relational DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score2.48
Rank#107  Overall
#9  Time Series DBMS
Websitewww.graphengine.iowww.kinetica.comwww.sadasengine.comsphinxsearch.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationwww.graphengine.io/­docs/­manualdocs.kinetica.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsphinxsearch.com/­docsdocs.tdengine.com
DeveloperMicrosoftKineticaSADAS s.r.l.Sphinx Technologies Inc.TDEngine, previously Taos Data
Initial release20102012200620012019
Current release7.1, August 20218.03.5.1, February 20233.0, August 2022
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercialcommercial infofree trial version availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL V3, also commercial editions available
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 language.NET and CC, C++C++C++C
Server operating systems.NETLinuxAIX
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nononono
Secondary indexesyesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesSQL-like query language (SphinxQL)Standard SQL with extensions for time-series applications
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
Proprietary protocolJDBC
RESTful HTTP API
Supported programming languagesC#
C++
F#
Visual Basic
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyesuser defined functionsnonono
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenonoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users and roles on table levelAccess rights for users, groups and roles according to SQL-standardnoyes
More information provided by the system vendor
Graph Engine infoformer name: TrinityKineticaSadas EngineSphinxTDengine
Specific characteristicsTDengine™ 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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More resources
Graph Engine infoformer name: TrinityKineticaSadas EngineSphinxTDengine
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