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DBMS > Apache Spark (SQL) vs. Dolt

System Properties Comparison Apache Spark (SQL) vs. Dolt

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Our visitors often compare Apache Spark (SQL) and Dolt with MySQL, CockroachDB and PostgreSQL.

Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonDolt  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingA MySQL compatible DBMS with Git-like versioning of data and schema
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.62
Rank#29  Overall
#18  Relational DBMS
Score0.60
Rank#232  Overall
#106  Relational DBMS
Websitespark.apache.org/­sqlgithub.com/­dolthub/­dolt
www.dolthub.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.dolthub.com
DeveloperApache Software FoundationDoltHub Inc
Initial release20142018
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaGo
Server operating systemsLinux
OS X
Windows
Linux
macOS
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
CLI Client
HTTP REST
Supported programming languagesJava
Python
R
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes infocurrently in alpha release
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoOnly one user is configurable, and must be specified in the config file at startup

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More resources
Apache Spark (SQL)Dolt
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