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DBMS > GeoSpock vs. Lovefield vs. Sphinx vs. TDengine vs. TerarkDB

System Properties Comparison GeoSpock vs. Lovefield vs. Sphinx vs. TDengine vs. TerarkDB

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonLovefield  Xexclude from comparisonSphinx  Xexclude from comparisonTDengine  Xexclude from comparisonTerarkDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleEmbeddable relational database for web apps written in pure JavaScriptOpen source search engine for searching in data from different sources, e.g. relational databasesTime Series DBMS and big data platformA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSSearch engineTime Series DBMSKey-value store
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegeospock.comgoogle.github.io/­lovefieldsphinxsearch.comgithub.com/­taosdata/­TDengine
tdengine.com
github.com/­bytedance/­terarkdb
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsphinxsearch.com/­docsdocs.tdengine.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperGeoSpockGoogleSphinx Technologies Inc.TDEngine, previously Taos DataByteDance, originally Terark
Initial release2014200120192016
Current release2.0, September 20192.1.12, February 20173.5.1, February 20233.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPL V3, also commercial editions availablecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaScriptC++CC++
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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 indexestemporal, categoricalyesyes infofull-text index on all search fieldsnono
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like query language infovia JavaScript builder patternSQL-like query language (SphinxQL)Standard SQL with extensions for time-series applicationsno
APIs and other access methodsJDBCProprietary protocolJDBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesJavaScriptC++ 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
C++
Java
Server-side scripts infoStored proceduresnonononono
TriggersnoUsing read-only observersnoyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDByes
User concepts infoAccess controlAccess rights for users can be defined per tablenonoyesno
More information provided by the system vendor
GeoSpockLovefieldSphinxTDengineTerarkDB
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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More resources
GeoSpockLovefieldSphinxTDengineTerarkDB
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