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DBMS > AllegroGraph vs. Datomic vs. Memgraph vs. openGauss

System Properties Comparison AllegroGraph vs. Datomic vs. Memgraph vs. openGauss

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDatomic  Xexclude from comparisonMemgraph  Xexclude from comparisonopenGauss  Xexclude from comparison
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 durabilityAn open source graph database built for real-time streaming and compatible with Neo4jAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Relational DBMSGraph DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.33
Rank#187  Overall
#31  Document stores
#17  Graph DBMS
#7  RDF stores
Score2.29
Rank#133  Overall
#65  Relational DBMS
Score1.68
Rank#158  Overall
#13  Graph DBMS
Score1.31
Rank#188  Overall
#94  Relational DBMS
Websiteallegrograph.comwww.datomic.commemgraph.comgitee.com/­opengauss
opengauss.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.datomic.comdocs.memgraph.comgitee.com/­opengauss/­docs
opengauss.org/­en/­docs/­latest/­docs/­BriefTutorial/­BriefTutorial.html
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperFranz Inc.CognitectMemgraph LtdHuawei and openGauss community
Initial release2004201220172019
Current release7.2.0, October 20211.0.6362, January 20223.0, March 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infolimited edition freecommercial infoFree license availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC and C++C, C++, Java
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinuxLinux
Data schemeyes infoRDF schemasyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 possiblenonono
Secondary indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languagenonoANSI SQL 2011
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP APIBolt protocol
Cypher query language
JDBC
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Clojure
Java
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infoTransaction Functionsyes
TriggersyesBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodeswith Federationnone infoBut extensive use of caching in the application peersSharding infodynamic graph partitioninghorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersMulti-source replication using RAFTSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infowith snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
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 developmentyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnoUsers, roles and permissionsAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
AllegroGraphDatomicMemgraphopenGauss
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more
News

What is a Semantic Layer?
6 January 2023

AllegroGraph Named “2023 – Trend Setting Product” by Database Trends and Applications
4 January 2023

The Hype Around Semantic Layers: How Important Are Standards?
11 November 2022

AllegroGraph Named “2022 Best Knowledge Graph” by KMWorld Readers’ Choice
9 November 2022

Using Ansible for AllegroGraph multi-server installation
7 November 2022

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More resources
AllegroGraphDatomicMemgraphopenGauss
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