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DBMS > AllegroGraph vs. Amazon Redshift vs. Datomic vs. EventStoreDB

System Properties Comparison AllegroGraph vs. Amazon Redshift vs. Datomic vs. EventStoreDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonDatomic  Xexclude from comparisonEventStoreDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSLarge scale data warehouse service for use with business intelligence toolsDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityIndustrial-strength, open-source database solution built from the ground up for event sourcing.
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSRelational DBMSEvent Store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#204  Overall
#35  Document stores
#18  Graph DBMS
#7  RDF stores
#10  Vector DBMS
Score15.25
Rank#38  Overall
#23  Relational DBMS
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score1.07
Rank#181  Overall
#1  Event Stores
Websiteallegrograph.comaws.amazon.com/­redshiftwww.datomic.comwww.eventstore.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.aws.amazon.com/­redshiftdocs.datomic.comdevelopers.eventstore.com
DeveloperFranz Inc.Amazon (based on PostgreSQL)CognitectEvent Store Limited
Initial release2004201220122012
Current release8.0, December 20231.0.7180, July 202421.2, February 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercial infolimited edition freeOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, Clojure
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VMLinux
Windows
Data schemeyes infoRDF schemasyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.no infobulk load of XML files possiblenono
Secondary indexesyesrestrictedyes
SQL infoSupport of SQLSPARQL is used as query languageyes infodoes not fully support an SQL-standardno
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
All languages supporting JDBC/ODBCClojure
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functions infoin Pythonyes infoTransaction Functions
TriggersyesnoBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingnone infoBut extensive use of caching in the application peers
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnone infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoinformational only, not enforced by the systemno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes inforecommended only for testing and development
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standardno
More information provided by the system vendor
AllegroGraphAmazon RedshiftDatomicEventStoreDB
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17 July 2024

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More resources
AllegroGraphAmazon RedshiftDatomicEventStoreDB
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