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DBMS > GridDB vs. LokiJS vs. Manticore Search vs. Microsoft Access

System Properties Comparison GridDB vs. LokiJS vs. Manticore Search vs. Microsoft Access

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonLokiJS  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Access  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.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelTime Series DBMSDocument storeSearch engineRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Time Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Score0.22
Rank#312  Overall
#21  Search engines
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websitegriddb.netgithub.com/­techfort/­LokiJSmanticoresearch.comwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.griddb.nettechfort.github.io/­LokiJSmanual.manticoresearch.comdeveloper.microsoft.com/­en-us/­access
DeveloperToshiba CorporationManticore SoftwareMicrosoft
Initial release2013201420171992
Current release5.1, August 20226.0, February 20231902 (16.0.11328.20222), March 2019
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 2commercial infoBundled with Microsoft Office
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
Windows infoNot a real database server, but making use of DLLs
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 XML
Secondary indexesyesyes infovia viewsyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)noSQL-like query languageyes infobut not compliant to any SQL standard
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
ADO.NET
DAO
ODBC
OLE DB
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++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnoView functions in JavaScriptuser defined functionsyes infosince Access 2010 using the ACE-engine
Triggersyesyesnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSynchronous replication based on Galera librarynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersnone
Foreign keys infoReferential integritynononoyes
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 writesACID infobut no files for transaction logging
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 infobut no files for transaction logging
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 databasenonono infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
GridDBLokiJSManticore SearchMicrosoft Access
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
GridDBLokiJSManticore SearchMicrosoft Access
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