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DBMS > EventStoreDB vs. Google Cloud Datastore vs. InterSystems IRIS vs. RDF4J vs. SAP SQL Anywhere

System Properties Comparison EventStoreDB vs. Google Cloud Datastore vs. InterSystems IRIS vs. RDF4J vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelEvent StoreDocument storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
RDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score4.36
Rank#72  Overall
#12  Document stores
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score3.95
Rank#80  Overall
#42  Relational DBMS
Websitewww.eventstore.comcloud.google.com/­datastorewww.intersystems.com/­products/­intersystems-irisrdf4j.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdevelopers.eventstore.comcloud.google.com/­datastore/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsrdf4j.org/­documentationhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperEvent Store LimitedGoogleInterSystemsSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SAP infoformerly Sybase
Initial release20122008201820041992
Current release21.2, February 20212023.3, June 202317, July 2015
License infoCommercial or Open SourceOpen SourcecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinux
Windows
hostedAIX
Linux
macOS
Ubuntu
Windows
Linux
OS X
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freedepending on used data modelyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyes, details hereyesyesyes
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.noyesyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)yesnoyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
Java
PHP
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresusing Google App Engineyesyesyes, in C/C++, Java, .Net or Perl
TriggersCallbacks using the Google Apps Engineyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSource-replica replicationnoneSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesnofine grained access rights according to SQL-standard
More information provided by the system vendor
EventStoreDBGoogle Cloud DatastoreInterSystems IRISRDF4J infoformerly known as SesameSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
EventStoreDBGoogle Cloud DatastoreInterSystems IRISRDF4J infoformerly known as SesameSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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