DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > AllegroGraph vs. Amazon Redshift vs. EXASOL vs. MonetDB

System Properties Comparison AllegroGraph vs. Amazon Redshift vs. EXASOL vs. MonetDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonEXASOL  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSLarge scale data warehouse service for use with business intelligence toolsHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A relational database management system that stores data in columns
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websiteallegrograph.comaws.amazon.com/­redshiftwww.exasol.comwww.monetdb.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.aws.amazon.com/­redshiftwww.exasol.com/­resourceswww.monetdb.org/­Documentation
DeveloperFranz Inc.Amazon (based on PostgreSQL)ExasolMonetDB BV
Initial release2004201220002004
Current release8.0, December 2023Dec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercialOpen Source infoMozilla Public License 2.0
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 languageCC
Server operating systemsLinux
OS X
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyes infoRDF schemasyesyesyes
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 possiblenono
Secondary indexesyesrestrictedyesyes
SQL infoSupport of SQLSPARQL is used as query languageyes infodoes not fully support an SQL-standardyesyes infoSQL 2003 with some extensions
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
.Net
JDBC
ODBC
WebSocket
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
All languages supporting JDBC/ODBCJava
Lua
Python
R
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functions infoin Pythonuser defined functionsyes, in SQL, C, R
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoHadoop integrationno
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 systemyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphAmazon RedshiftEXASOLMonetDB
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
News

How a Neuro-Symbolic AI Approach Can Improve Trust in AI Apps
23 May 2024

Can Neuro-Symbolic AI Solve AI’s Weaknesses?
17 April 2024

100 Companies That Matter in KM – Franz Inc.
3 April 2024

Exploring AllegroGraph v8 – Unleashing the Power of Neuro-Symbolic AI (Recorded Webinar)
9 February 2024

What is Neuro-Symbolic AI?
23 January 2024

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
AllegroGraphAmazon RedshiftEXASOLMonetDB
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

Recent citations in the news

Q&A: Can Neuro-Symbolic AI Solve AI’s Weaknesses?
8 April 2024, TDWI

AI predictions for 2024 unveil exciting technological horizons
21 November 2023, Wire19

Neuro-Symbolic AI: The Peak of Artificial Intelligence
16 November 2021, AiThority

The Foundation of Data Fabrics and AI: Semantic Knowledge Graphs - DataScienceCentral.com
19 May 2022, Data Science Central

Why Young Developers Don't Get Knowledge Graphs
30 July 2021, Datanami

provided by Google News

Amazon Redshift Serverless is now generally available in the AWS China (Ningxia) Region - AWS
28 May 2024, AWS Blog

AWS analytics services streamline user access to data, permissions setting, and auditing | Amazon Web Services
29 May 2024, AWS Blog

Simplify data lake access control for your enterprise users with trusted identity propagation in AWS IAM Identity Center ...
29 May 2024, AWS Blog

Build a decentralized semantic search engine on heterogeneous data stores using autonomous agents | Amazon Web ...
28 May 2024, AWS Blog

Transforming the Member Experience Using Amazon Redshift with Together Credit Union | Case Study
23 May 2024, AWS Blog

provided by Google News

It's Back to the Database Future for Exasol CEO Tewes
26 October 2023, Datanami

Exasol Finds AI Underinvestment Leads to Business Failure, But Data Challenges Stall Rapid Adoption
14 May 2024, insideBIGDATA

Mathias Golombek, Chief Technology Officer of Exasol – Interview Series
21 May 2024, Unite.AI

Exasol gets jolt of AI with Espresso suite of capabilities
26 February 2024, TechTarget

Exasol Unveils New Suite of AI Tools to Turbocharge Enterprise Data Analytics
22 February 2024, AiThority

provided by Google News

In 2024 the MonetDB Foundation was established for the preservation, maintenance and further development of the ...
31 January 2024, Centrum Wiskunde & Informatica (CWI)

MonetDB Secures Investment From (and Partners With) ServiceNow
9 December 2021, Datanami

PostgreSQL, MonetDB, and Too-Big-for-Memory Data in R - Part I - DataScienceCentral.com
6 April 2018, Data Science Central

Test of Time Award for paper on vectorized execution
16 January 2024, Centrum Wiskunde & Informatica (CWI)

How MonetDB Exploits Modern CPU Performance | by Dwi Prasetyo Adi Nugroho
14 January 2020, Towards Data Science

provided by Google News



Share this page

Featured Products

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

Present your product here