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DBMS > Rockset vs. Sphinx vs. TDengine vs. TinkerGraph

System Properties Comparison Rockset vs. Sphinx vs. TDengine vs. TinkerGraph

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Editorial information provided by DB-Engines
NameRockset  Xexclude from comparisonSphinx  Xexclude from comparisonTDengine  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionA scalable, reliable search and analytics service in the cloud, built on RocksDBOpen source search engine for searching in data from different sources, e.g. relational databasesTime Series DBMS and big data platformA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelDocument storeSearch engineTime Series DBMSGraph DBMS
Secondary database modelsRelational DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#212  Overall
#36  Document stores
Score5.95
Rank#55  Overall
#5  Search engines
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websiterockset.comsphinxsearch.comgithub.com/­taosdata/­TDengine
tdengine.com
tinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.rockset.comsphinxsearch.com/­docsdocs.tdengine.com
DeveloperRocksetSphinx Technologies Inc.TDEngine, previously Taos Data
Initial release2019200120192009
Current release3.5.1, February 20233.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL V3, also commercial editions availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++CJava
Server operating systemshostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datedynamic typingnoyesyes
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.no infoingestion from XML files supportednono
Secondary indexesall fields are automatically indexedyes infofull-text index on all search fieldsnono
SQL infoSupport of SQLRead-only SQL queries, including JOINsSQL-like query language (SphinxQL)Standard SQL with extensions for time-series applicationsno
APIs and other access methodsHTTP RESTProprietary protocolJDBC
RESTful HTTP API
TinkerPop 3
Supported programming languagesGo
Java
JavaScript (Node.js)
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
Groovy
Java
Server-side scripts infoStored proceduresnononono
Triggersnonoyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistencynone
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and organizations can be defined via Rockset consolenoyesno
More information provided by the system vendor
RocksetSphinxTDengineTinkerGraph
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
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