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DBMS > AllegroGraph vs. Microsoft Azure Cosmos DB vs. VelocityDB

System Properties Comparison AllegroGraph vs. Microsoft Azure Cosmos DB vs. VelocityDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSGlobally distributed, horizontally scalable, multi-model database serviceA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Document store
Graph DBMS
Key-value store
Wide column store
Graph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#168  Overall
#26  Document stores
#14  Graph DBMS
#7  RDF stores
Score32.01
Rank#25  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.12
Rank#300  Overall
#29  Graph DBMS
#16  Object oriented DBMS
Websiteallegrograph.comazure.microsoft.com/­services/­cosmos-dbvelocitydb.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.microsoft.com/­azure/­cosmos-dbvelocitydb.com/­UserGuide
DeveloperFranz Inc.MicrosoftVelocityDB Inc
Initial release200420142011
Current release7.0.0, April 20207.x
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
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
hostedAny that supports .NET
Data schemeyes infoRDF schemasschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoJSON typesyes
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 possibleno
Secondary indexesyesyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query languageno
APIs and other access methodsRESTful HTTP API
SPARQL
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
.Net
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispJavaScriptno
TriggersyesJavaScriptCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-item ACID transactions with snapshot isolation within a partitionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights can be defined down to the item levelBased on Windows Authentication
More information provided by the system vendor
AllegroGraphMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBVelocityDB
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

Connected Data London – The Future of AI in the Enterprise
3 September 2020

Using Microsoft Power BI with AllegroGraph
19 August 2020

Franz Inc. Named an AI 50 Company by KMWorld
18 August 2020

Knowledge graphs enhance customer experience through speed and accuracy
10 July 2020

AllegroGraph Named to 100 Companies That Matter Most in Data
22 June 2020

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

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More resources
AllegroGraphMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBVelocityDB
Conferences and events

Enterprise Knowledge Graphs, Connected-Data.London
Webinar, 23 September 2020 (finished)

Recent citations in the news

Franz Inc. to Present at The Global Graph Summit and Data Day Texas 2020
10 January 2020, PR Web

Ubiquitous AI Demands A New Type Of Database Sharding
1 May 2020, Forbes

AllegroGraph v7 Powers First Distributed Semantic Knowledge Graph Solution with Federated-Sharding
26 May 2020, Business Wire

Little Known Artificial Intelligence Secrets: What Unsupervised Learning Really Means
22 August 2020, insideBIGDATA

Franz AllegroGraph 7 Provides Distributed Semantic Knowledge Graph Solution with Federated-Sharding
29 April 2020, Database Trends and Applications

provided by Google News

Global NoSQL Databases Software Market Top Manufacturers Analysis by 2026: MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase etc.
20 October 2020, TechnoWeekly

Global NoSQL Databases Software Market 2026 Prominent Key Players Operating : MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase etc.
21 October 2020, The Think Curiouser

Global Document Databases Software Market Top Manufacturers Analysis by 2026: MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase etc.
20 October 2020, TechnoWeekly

Global NoSQL Databases Software Market Expected To Reach xx.xx Mn By 2026: MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase etc.
19 October 2020, Eurowire

Global Document Databases Software Market Expected To Reach xx.xx Mn By 2026: MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase etc.
19 October 2020, Eurowire

provided by Google News

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