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

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

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonFileMaker  Xexclude from comparisonGridDB  Xexclude from comparisonPouchDB  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.Scalable in-memory time series database optimized for IoT and Big DataJavaScript DBMS with an API inspired by CouchDBA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelKey-value storeRelational DBMSTime Series DBMSDocument storeDocument 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
Score0.14
Rank#331  Overall
#49  Key-value stores
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.79
Rank#211  Overall
#35  Document stores
Websitegithub.com/­dgraph-io/­badgerwww.claris.com/­filemakergriddb.netpouchdb.comrockset.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.claris.com/­resources/­documentationdocs.griddb.netpouchdb.com/­guidesdocs.rockset.com
DeveloperDGraph LabsClaris infoa subsidiary of AppleToshiba CorporationApache Software FoundationRockset
Initial release20171983201320122019
Current release19.4.1, November 20215.1, August 20227.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Sourcecommercial
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++JavaScriptC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
iOS infoclient part only
Linux
OS X
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js)hosted
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyes infonumerical, string, blob, geometry, boolean, timestampnodynamic 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 formatnonono infoingestion from XML files supported
Secondary indexesnoyesyesyes infovia viewsall fields are automatically indexed
SQL infoSupport of SQLnoyes infovia pluginsSQL92, SQL-like TQL (Toshiba Query Language)noRead-only SQL queries, including JOINs
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP REST
Supported programming languagesGoPHPC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScriptGo
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesnoView functions in JavaScriptno
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infowith a proxy-based framework, named couchdb-loungeAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication, warm standby infosince Version 14Source-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency within container, eventual consistency across containersEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID at container levelnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnosimple rights management via user accounts and connection to external directory servicesAccess rights for users can be defined per databasenoAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
BadgerFileMakerGridDBPouchDBRockset
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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BadgerFileMakerGridDBPouchDBRockset
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