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DBMS > AllegroGraph vs. EXASOL vs. Ingres vs. Snowflake

System Properties Comparison AllegroGraph vs. EXASOL vs. Ingres vs. Snowflake

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonEXASOL  Xexclude from comparisonIngres  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Well established RDBMSCloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial 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
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websiteallegrograph.comwww.exasol.comwww.actian.com/­databases/­ingreswww.snowflake.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.exasol.com/­resourcesdocs.actian.com/­ingresdocs.snowflake.net/­manuals/­index.html
DeveloperFranz Inc.ExasolActian CorporationSnowflake Computing Inc.
Initial release200420001974 infooriginally developed at University Berkely in early 1970s2014
Current release8.0, December 202311.2, May 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemsLinux
OS X
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
hosted
Data schemeyes infoRDF schemasyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
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 infobut tools for importing/exporting data from/to XML-files availableyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageyesyesyes
APIs and other access methodsRESTful HTTP API
SPARQL
.Net
JDBC
ODBC
WebSocket
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
CLI Client
JDBC
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Java
Lua
Python
R
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functionsyesuser defined functions
Triggersyesyesyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Ingres Replicatoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
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.noyesnono
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
AllegroGraphEXASOLIngresSnowflake
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

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

Allegro CL v11 – Now Available! – The Neuro-Symbolic AI Programming Platform
8 January 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AllegroGraphEXASOLIngresSnowflake
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