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DBMS > Badger vs. FileMaker vs. GBase vs. GridDB vs. Rockset

System Properties Comparison Badger vs. FileMaker vs. GBase vs. GridDB vs. Rockset

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonFileMaker  Xexclude from comparisonGBase  Xexclude from comparisonGridDB  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Scalable in-memory time series database optimized for IoT and Big DataA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelKey-value storeRelational DBMSRelational DBMSTime Series DBMSDocument store
Secondary database modelsKey-value store
Relational DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Websitegithub.com/­dgraph-io/­badgerwww.claris.com/­filemakerwww.gbase.cngriddb.netrockset.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.claris.com/­resources/­documentationdocs.griddb.netdocs.rockset.com
DeveloperDGraph LabsClaris infoa subsidiary of AppleGeneral Data Technology Co., Ltd.Toshiba CorporationRockset
Initial release20171983200420132019
Current release19.4.1, November 2021GBase 8a, GBase 8s, GBase 8c5.1, August 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, Java, PythonC++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
iOS infoclient part only
Linux
OS X
Windows
LinuxLinuxhosted
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes infonumerical, string, blob, geometry, boolean, timestampdynamic typing
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 formatyesnono infoingestion from XML files supported
Secondary indexesnoyesyesyesall fields are automatically indexed
SQL infoSupport of SQLnoyes infovia pluginsStandard with numerous extensionsSQL92, SQL-like TQL (Toshiba Query Language)Read-only SQL queries, including JOINs
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
ADO.NET
C API
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP REST
Supported programming languagesGoPHPC#C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesuser defined functionsnono
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning (by range, list and hash) and vertical partitioningShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication, warm standby infosince Version 14yesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID at container levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnosimple rights management via user accounts and connection to external directory servicesyesAccess rights for users can be defined per databaseAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
BadgerFileMakerGBaseGridDBRockset
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
BadgerFileMakerGBaseGridDBRockset
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