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DBMS > AllegroGraph vs. Datomic vs. EventStoreDB vs. Hypertable vs. Oracle NoSQL

System Properties Comparison AllegroGraph vs. Datomic vs. EventStoreDB vs. Hypertable vs. Oracle NoSQL

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDatomic  Xexclude from comparisonEventStoreDB  Xexclude from comparisonHypertable  Xexclude from comparisonOracle NoSQL  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSDatomic 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.An open source BigTable implementation based on distributed file systems such as HadoopA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSEvent StoreWide column storeDocument store
Key-value store
Relational DBMS
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
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score1.07
Rank#181  Overall
#1  Event Stores
Score3.07
Rank#86  Overall
#15  Document stores
#11  Key-value stores
#47  Relational DBMS
Websiteallegrograph.comwww.datomic.comwww.eventstore.comwww.oracle.com/­database/­nosql/­technologies/­nosql
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.datomic.comdevelopers.eventstore.comdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperFranz Inc.CognitectEvent Store LimitedHypertable Inc.Oracle
Initial release20042012201220092011
Current release8.0, December 20231.0.7180, July 202421.2, February 20210.9.8.11, March 201624.1, May 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infolimited edition freeOpen SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++Java
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
Solaris SPARC/x86
Data schemeyes infoRDF schemasyesschema-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typing infopredefined data types such as float or dateyesyesnooptional
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 indexesyesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLSPARQL is used as query languagenonoSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP APIC++ API
Thrift
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Clojure
Java
C++
Java
Perl
PHP
Python
Ruby
C
C#
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infoTransaction Functionsnono
TriggersyesBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodeswith Federationnone infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersselectable replication factor on file system levelElectable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoconfigurable infoACID within a storage node (=shard)
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)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyes infooff heap cache
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnonoAccess rights for users and roles
More information provided by the system vendor
AllegroGraphDatomicEventStoreDBHypertableOracle NoSQL
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