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DBMS > GridDB vs. LokiJS vs. Manticore Search vs. TDengine

System Properties Comparison GridDB vs. LokiJS vs. Manticore Search vs. TDengine

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonLokiJS  Xexclude from comparisonManticore Search  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataIn-memory JavaScript DBMSMulti-storage database for search, including full-text search.Time Series DBMS and big data platform
Primary database modelTime Series DBMSDocument storeSearch engineTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
Time Series DBMS infousing the Manticore Columnar LibraryRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Score0.29
Rank#302  Overall
#21  Search engines
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitegriddb.netgithub.com/­techfort/­LokiJSmanticoresearch.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.griddb.nettechfort.github.io/­LokiJSmanual.manticoresearch.comdocs.tdengine.com
DeveloperToshiba CorporationManticore SoftwareTDEngine, previously Taos Data
Initial release2013201420172019
Current release5.1, August 20226.0, February 20233.0, August 2022
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen SourceOpen Source infoGPL version 2Open Source infoAGPL V3, also commercial editions available
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 languageC++JavaScriptC++C
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
macOS
Windows
Linux
Windows
Data schemeyesschema-freeFixed schemayes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampnoInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.nonoCan index from XMLno
Secondary indexesyesyes infovia viewsyes infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)noSQL-like query languageStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JavaScript APIBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
RESTful HTTP API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScriptElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoView functions in JavaScriptuser defined functionsno
Triggersyesyesnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSynchronous replication based on Galera libraryyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersnone
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelno infoatomic operations within a single collection possibleyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users can be defined per databasenonoyes
More information provided by the system vendor
GridDBLokiJSManticore SearchTDengine
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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31 May 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GridDBLokiJSManticore SearchTDengine
DB-Engines blog posts

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