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DBMS > Fauna vs. MaxDB vs. Spark SQL

System Properties Comparison Fauna vs. MaxDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameFauna infopreviously named FaunaDB  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionFauna 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.A robust and reliable RDBMS optimized to run all major SAP solutionsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score2.32
Rank#112  Overall
#55  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitefauna.commaxdb.sap.comspark.apache.org/­sql
Technical documentationdocs.fauna.commaxdb.sap.com/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFauna, Inc.SAP, acquired from Software AG (Adabas-D) in 1997Apache Software Foundation
Initial release201419842014
Current release7.9.10.12, February 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition freeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++Scala
Server operating systemshostedAIX
HP-UX
Linux
Solaris
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLnoyesSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
WebDAV
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
C#
Java
Perl
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.nonono
User concepts infoAccess controlIdentity management, authentication, and access controlfine grained access rights according to SQL-standardno

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More resources
Fauna infopreviously named FaunaDBMaxDB infoformerly named Adabas-DSpark SQL
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