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DBMS > Fauna vs. FoundationDB vs. Geode vs. Spark SQL

System Properties Comparison Fauna vs. FoundationDB vs. Geode vs. Spark SQL

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Editorial information provided by DB-Engines
NameFauna infopreviously named FaunaDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonGeode  Xexclude from comparisonSpark SQL  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
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.Ordered key-value store. Core features are complimented by layers.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitefauna.comgithub.com/­apple/­foundationdbgeode.apache.orgspark.apache.org/­sql
Technical documentationdocs.fauna.comapple.github.io/­foundationdbgeode.apache.org/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFauna, Inc.FoundationDBOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Apache Software Foundation
Initial release2014201320022014
Current release6.2.28, November 20201.1, February 20173.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++JavaScala
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Windows
Data schemeschema-freeschema-free infosome layers support schemasschema-freeyes
Typing infopredefined data types such as float or datenono infosome layers support typingyesyes
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 indexesyesnonono
SQL infoSupport of SQLnosupported in specific SQL layer onlySQL-like query language (OQL)SQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP APIJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
All JVM based languages
C++
Groovy
Java
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsin SQL-layer onlyuser defined functionsno
Triggersnonoyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyEventual Consistency
Foreign keys infoReferential integrityyesin SQL-layer onlynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlIdentity management, authentication, and access controlnoAccess rights per client and object definableno

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More resources
Fauna infopreviously named FaunaDBFoundationDBGeodeSpark SQL
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