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DBMS > Amazon Neptune vs. Fauna vs. Spark SQL vs. SpatiaLite vs. STSdb

System Properties Comparison Amazon Neptune vs. Fauna vs. Spark SQL vs. SpatiaLite vs. STSdb

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSpatiaLite  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudFauna 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 processingSpatial extension of SQLiteKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelGraph DBMS
RDF store
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSSpatial DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteaws.amazon.com/­neptunefauna.comspark.apache.org/­sqlwww.gaia-gis.it/­fossil/­libspatialite/­indexgithub.com/­STSSoft/­STSdb4
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.fauna.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperAmazonFauna, Inc.Apache Software FoundationAlessandro FurieriSTS Soft SC
Initial release20172014201420082011
Current release3.5.0 ( 2.13), September 20235.0.0, August 20204.0.8, September 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaScalaC++C#
Server operating systemshostedhostedLinux
OS X
Windows
server-lessWindows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes 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.nononono
Secondary indexesnoyesnoyesno
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyesno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIJDBC
ODBC
.NET Client API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnouser defined functionsnonono
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoconsistent hashingyes, utilizing Spark Corenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Multi-source replicationnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Identity management, authentication, and access controlnonono

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More resources
Amazon NeptuneFauna infopreviously named FaunaDBSpark SQLSpatiaLiteSTSdb
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