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DBMS > Apache Spark (SQL) vs. MySQL vs. SurrealDB

System Properties Comparison Apache Spark (SQL) vs. MySQL vs. SurrealDB

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonMySQL  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingWidely used open source RDBMSA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSRelational DBMS infoKey/Value like access via memcached APIDocument store
Graph DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.62
Rank#29  Overall
#18  Relational DBMS
Score964.98
Rank#2  Overall
#2  Relational DBMS
Score1.08
Rank#176  Overall
#30  Document stores
#16  Graph DBMS
Websitespark.apache.org/­sqlwww.mysql.comsurrealdb.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldev.mysql.com/­docsurrealdb.com/­docs
DeveloperApache Software FoundationOracle infosince 2010, originally MySQL AB, then SunSurrealDB Ltd
Initial release201419952022
Current release3.5.0 ( 2.13), September 20239.0.0, July 2024v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC and C++Rust
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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
Secondary indexesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infowith proprietary extensionsSQL-like query language
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
GraphQL
RESTful HTTP API
WebSocket
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
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnoyes infoproprietary syntax
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes
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.noyes
User concepts infoAccess controlnoUsers with fine-grained authorization concept infono user groups or rolesyes, based on authentication and database rules

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More resources
Apache Spark (SQL)MySQLSurrealDB
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