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DBMS > AgensGraph vs. AllegroGraph vs. EXASOL vs. Snowflake

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

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAllegroGraph  Xexclude from comparisonEXASOL  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHigh performance, persistent RDF store with additional support for Graph DBMSHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Cloud-based data warehousing service for structured and semi-structured data
Primary database modelGraph DBMS
Relational DBMS
Document store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#333  Overall
#30  Graph DBMS
#146  Relational DBMS
Score1.16
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score2.25
Rank#120  Overall
#57  Relational DBMS
Score123.20
Rank#9  Overall
#6  Relational DBMS
Websitebitnine.net/­agensgraphallegrograph.comwww.exasol.comwww.snowflake.com
Technical documentationbitnine.net/­documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.exasol.com/­resourcesdocs.snowflake.net/­manuals/­index.html
DeveloperBitnine Global Inc.Franz Inc.ExasolSnowflake Computing Inc.
Initial release2016200420002014
Current release2.1, December 20188.0, December 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infoLimited community edition freecommercialcommercial
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
Linux
OS X
Windows
hosted
Data schemedepending on used data modelyes infoRDF schemasyesyes 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.nono infobulk load of XML files possiblenoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesSPARQL is used as query languageyesyes
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP API
SPARQL
.Net
JDBC
ODBC
WebSocket
CLI Client
JDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
C#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Java
Lua
Python
R
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyes infoJavaScript or Common Lispuser defined functionsuser defined functions
Triggersnoyesyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancewith FederationShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-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 ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
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.nonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers 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
AgensGraphAllegroGraphEXASOLSnowflake
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

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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
AgensGraphAllegroGraphEXASOLSnowflake
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