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DBMS > FaunaDB vs. Spark SQL vs. STSdb

System Properties Comparison FaunaDB vs. Spark SQL vs. STSdb

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Editorial information provided by DB-Engines
NameFaunaDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionFaunaDB 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.Spark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.83
Rank#123  Overall
#21  Document stores
#9  Graph DBMS
#62  Relational DBMS
#8  Time Series DBMS
Score19.46
Rank#34  Overall
#21  Relational DBMS
Score0.18
Rank#284  Overall
#43  Key-value stores
Websitefauna.comspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.fauna.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFauna, Inc.Apache Software FoundationSTS Soft SC
Initial release201420142011
Current release3.0.2, February 20214.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaScalaC#
Server operating systemshostedLinux
OS X
Windows
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes infoprimitive types and user defined types (classes)
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 indexesyesnono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
.NET Client API
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
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.nono
User concepts infoAccess controlIdentity management, authentication, and access controlnono
More information provided by the system vendor
FaunaDBSpark SQLSTSdb
Specific characteristicsFlexible query model that combines GraphQL with custom business logic Effortlessly...
» more
Competitive advantagesNative GraphQL support with automatic mutations for easy on-ramp Native GraphQL,...
» more
Typical application scenariosJavascript apps Serverless backends for microservices Cloud-native apps B2B and B2C...
» more
Key customersShiftX
» more
Licensing and pricing modelsUsage-based pricing including a free tier
» more

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More resources
FaunaDBSpark SQLSTSdb
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