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DBMS > Axibase vs. FileMaker vs. GridDB vs. Manticore Search

System Properties Comparison Axibase vs. FileMaker vs. GridDB vs. Manticore Search

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonFileMaker  Xexclude from comparisonGridDB  Xexclude from comparisonManticore Search  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationFileMaker is a cross-platform RDBMS that includes a GUI frontend.Scalable in-memory time series database optimized for IoT and Big DataMulti-storage database for search, including full-text search.
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSSearch engine
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
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Websiteaxibase.com/­docs/­atsd/­financewww.claris.com/­filemakergriddb.netmanticoresearch.com
Technical documentationwww.claris.com/­resources/­documentationdocs.griddb.netmanual.manticoresearch.com
DeveloperAxibase CorporationClaris infoa subsidiary of AppleToshiba CorporationManticore Software
Initial release2013198320132017
Current release1558519.4.1, November 20215.1, August 20226.0, February 2023
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGPL version 2
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 languageJavaC++C++
Server operating systemsLinuxiOS infoclient part only
Linux
OS X
Windows
LinuxFreeBSD
Linux
macOS
Windows
Data schemeyesyesyesFixed schema
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyes infonumerical, string, blob, geometry, boolean, timestampInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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.noyes infoA http query request can return the data in XML formatnoCan index from XML
Secondary indexesnoyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageyes infovia pluginsSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query language
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesGo
Java
PHP
Python
R
Ruby
PHPC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresyesyesnouser defined functions
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication, warm standby infosince Version 14Source-replica replicationSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID at container levelyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesAccess rights for users can be defined per databaseno
More information provided by the system vendor
AxibaseFileMakerGridDBManticore Search
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
AxibaseFileMakerGridDBManticore Search
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