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DBMS > Badger vs. FileMaker vs. PlanetScale vs. Spark SQL

System Properties Comparison Badger vs. FileMaker vs. PlanetScale vs. Spark SQL

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonFileMaker  Xexclude from comparisonPlanetScale  Xexclude from comparisonSpark SQL  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, distributed, serverless MySQL database platform built on top of VitessSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
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
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.claris.com/­filemakerplanetscale.comspark.apache.org/­sql
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.claris.com/­resources/­documentationplanetscale.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDGraph LabsClaris infoa subsidiary of ApplePlanetScaleApache Software Foundation
Initial release2017198320202014
Current release19.4.1, November 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoGoScala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
iOS infoclient part only
Linux
OS X
Windows
Docker
Linux
macOS
Linux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 formatno
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyes infovia pluginsyes infowith proprietary extensionsSQL-like DML and DDL statements
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
JDBC
ODBC
Supported programming languagesGoPHPAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyesyes infoproprietary syntaxno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication, warm standby infosince Version 14Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnosimple rights management via user accounts and connection to external directory servicesUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
BadgerFileMakerPlanetScaleSpark SQL
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