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DBMS > Apache Spark (SQL) vs. Fauna

System Properties Comparison Apache Spark (SQL) vs. Fauna

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.
Primary database modelRelational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.80
Rank#31  Overall
#19  Relational DBMS
Score1.42
Rank#148  Overall
#25  Document stores
#13  Graph DBMS
#67  Relational DBMS
#13  Time Series DBMS
Websitespark.apache.org/­sqlfauna.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.fauna.com
DeveloperApache Software FoundationFauna, Inc.
Initial release20142014
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaScala
Server operating systemsLinux
OS X
Windows
hosted
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
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 statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Supported programming languagesJava
Python
R
Scala
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
Server-side scripts infoStored proceduresnouser defined functions
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corehorizontal partitioning infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
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.nono
User concepts infoAccess controlnoIdentity management, authentication, and access control

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More resources
Apache Spark (SQL)Fauna infopreviously named FaunaDB
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