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

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

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonchDB  Xexclude from comparisonFileMaker  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.An embedded SQL OLAP Engine powered by ClickHouseFileMaker is a cross-platform RDBMS that includes a GUI frontend.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.07
Rank#376  Overall
#158  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­chdb-io/­chdbwww.claris.com/­filemakerspark.apache.org/­sql
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdoc.chdb.iowww.claris.com/­resources/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDGraph LabsClaris infoa subsidiary of AppleApache Software Foundation
Initial release2017202319832014
Current release19.4.1, November 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoScala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
server-lessiOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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 indexesnoyesno
SQL infoSupport of SQLnoClose to ANSI SQL (SQL/JSON + extensions)yes infovia pluginsSQL-like DML and DDL statements
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Supported programming languagesGoBun
C
C++
Go
JavaScript (Node.js)
Python
Rust
PHPJava
Python
R
Scala
Server-side scripts infoStored proceduresnoyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication, warm standby infosince Version 14none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnone
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnosimple rights management via user accounts and connection to external directory servicesno

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More resources
BadgerchDBFileMakerSpark SQL
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