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DBMS > Amazon Aurora vs. Datomic vs. OrigoDB vs. Pinecone

System Properties Comparison Amazon Aurora vs. Datomic vs. OrigoDB vs. Pinecone

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDatomic  Xexclude from comparisonOrigoDB  Xexclude from comparisonPinecone  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 databaseA managed, cloud-native vector database
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Vector DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websiteaws.amazon.com/­rds/­aurorawww.datomic.comorigodb.comwww.pinecone.io
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.datomic.comorigodb.com/­docsdocs.pinecone.io/­docs/­overview
DeveloperAmazonCognitectRobert Friberg et alPinecone Systems, Inc
Initial release201520122009 infounder the name LiveDB2019
Current release1.0.6735, June 2023
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC#
Server operating systemshostedAll OS with a Java VMLinux
Windows
hosted
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsString, Number, Boolean
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 .NETno
Secondary indexesyesyesyes
SQL infoSupport of SQLyesnonono
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP API.NET Client API
HTTP API
LINQ
RESTful HTTP API
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
.NetPython
Server-side scripts infoStored proceduresyesyes infoTransaction Functionsyes
TriggersyesBy using transaction functionsyes infoDomain Events
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 synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoBut extensive use of caching in the application peersSource-replica replication
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 model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoWrite ahead logyes
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 developmentyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoRole based authorization

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More resources
Amazon AuroraDatomicOrigoDBPinecone
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