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DBMS > Badger vs. FileMaker vs. GreptimeDB vs. Hypertable vs. PouchDB

System Properties Comparison Badger vs. FileMaker vs. GreptimeDB vs. Hypertable vs. PouchDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonFileMaker  Xexclude from comparisonGreptimeDB  Xexclude from comparisonHypertable  Xexclude from comparisonPouchDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.FileMaker is a cross-platform RDBMS that includes a GUI frontend.An open source Time Series DBMS built for increased scalability, high performance and efficiencyAn open source BigTable implementation based on distributed file systems such as HadoopJavaScript DBMS with an API inspired by CouchDB
Primary database modelKey-value storeRelational DBMSTime Series DBMSWide column storeDocument store
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
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websitegithub.com/­dgraph-io/­badgerwww.claris.com/­filemakergreptime.compouchdb.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.claris.com/­resources/­documentationdocs.greptime.compouchdb.com/­guides
DeveloperDGraph LabsClaris infoa subsidiary of AppleGreptime Inc.Hypertable Inc.Apache Software Foundation
Initial release20171983202220092012
Current release19.4.1, November 20210.9.8.11, March 20167.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availableOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoRustC++JavaScript
Server operating systemsBSD
Linux
OS X
Solaris
Windows
iOS infoclient part only
Linux
OS X
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesschema-free, schema definition possibleschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesnono
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 formatnono
Secondary indexesnoyesyesrestricted infoonly exact value or prefix value scansyes infovia views
SQL infoSupport of SQLnoyes infovia pluginsyesnono
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
gRPC
HTTP API
JDBC
C++ API
Thrift
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGoPHPC++
Erlang
Go
Java
JavaScript
C++
Java
Perl
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnoyesPythonnoView functions in JavaScript
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication, warm standby infosince Version 14selectable replication factor on file system levelMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
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 servicesSimple rights management via user accountsnono
More information provided by the system vendor
BadgerFileMakerGreptimeDBHypertablePouchDB
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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More resources
BadgerFileMakerGreptimeDBHypertablePouchDB
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