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DBMS > AllegroGraph vs. atoti vs. EXASOL vs. Snowflake

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

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonatoti  Xexclude from comparisonEXASOL  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Cloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Object oriented 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
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websiteallegrograph.comatoti.iowww.exasol.comwww.snowflake.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.atoti.iowww.exasol.com/­resourcesdocs.snowflake.net/­manuals/­index.html
DeveloperFranz Inc.ActiveViamExasolSnowflake Computing Inc.
Initial release200420002014
Current release8.0, December 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infofree versions availablecommercialcommercial
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 languageJava
Server operating systemsLinux
OS X
Windows
hosted
Data schemeyes infoRDF schemasyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
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 possiblenoyes
Secondary indexesyesyes
SQL infoSupport of SQLSPARQL is used as query languageMultidimensional Expressions (MDX)yesyes
APIs and other access methodsRESTful HTTP API
SPARQL
.Net
JDBC
ODBC
WebSocket
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 LispPythonuser defined functionsuser defined functions
Triggersyesyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding, horizontal partitioningShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes
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 integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
AllegroGraphatotiEXASOLSnowflake
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
AllegroGraphatotiEXASOLSnowflake
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