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DBMS > Amazon Aurora vs. Datomic vs. OrigoDB vs. Spark SQL vs. SpatiaLite

System Properties Comparison Amazon Aurora vs. Datomic vs. OrigoDB vs. Spark SQL vs. SpatiaLite

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDatomic  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA fully ACID in-memory object graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processingSpatial extension of SQLite
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Relational DBMSSpatial DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Websiteaws.amazon.com/­rds/­aurorawww.datomic.comorigodb.comspark.apache.org/­sqlwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.datomic.comorigodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperAmazonCognitectRobert Friberg et alApache Software FoundationAlessandro Furieri
Initial release201520122009 infounder the name LiveDB20142008
Current release1.0.7075, December 20233.5.0 ( 2.13), September 20235.0.0, August 2020
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen SourceOpen Source infoApache 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC#ScalaC++
Server operating systemshostedAll OS with a Java VMLinux
Windows
Linux
OS X
Windows
server-less
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyesyes
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.yesnono infocan be achieved using .NETnono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesnonoSQL-like DML and DDL statementsyes
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP API.NET Client API
HTTP API
LINQ
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Clojure
Java
.NetJava
Python
R
Scala
Server-side scripts infoStored proceduresyesyes infoTransaction Functionsyesnono
TriggersyesBy using transaction functionsyes infoDomain Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnone infoBut extensive use of caching in the application peershorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoBut extensive use of caching in the application peersSource-replica replicationnonenone
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 integrityyesnodepending on modelnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoRole based authorizationnono

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More resources
Amazon AuroraDatomicOrigoDBSpark SQLSpatiaLite
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