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DBMS > AllegroGraph vs. Kinetica vs. MarkLogic

System Properties Comparison AllegroGraph vs. Kinetica vs. MarkLogic

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonKinetica  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSGPU-accelerated database for real-time analysis of large and streaming datasetsOperational and transactional Enterprise NoSQL database
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Relational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.01
Rank#167  Overall
#25  Document stores
#14  Graph DBMS
#7  RDF stores
Score0.75
Rank#193  Overall
#95  Relational DBMS
Score11.94
Rank#41  Overall
#7  Document stores
#1  Native XML DBMS
#1  RDF stores
#4  Search engines
Websiteallegrograph.comwww.kinetica.comwww.marklogic.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.kinetica.com/­docsdocs.marklogic.com
DeveloperFranz Inc.KineticaMarkLogic Corp.
Initial release200420122001
Current release7.0.0, April 20206.09.0, 2017
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Windows
Data schemeyes infoRDF schemasyesschema-free infoSchema can be enforced
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 indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like DML and DDL statementsyes infoSQL92
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functionsyes infovia XQuery or JavaScript
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infocan act as a resource manager in an XA/JTA transaction
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 infoGPU vRAM or System RAMyes, with Range Indexes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and roles on table levelRole-based access control at the document and subdocument levels
More information provided by the system vendor
AllegroGraphKineticaMarkLogic
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
The MarkLogic Multi-Model Database provides the simplest way to integrate data from...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
The main benefit of MarkLogic is simplicity. By making things simpler, MarkLogic...
» more
Typical application scenariosMarkLogic’s main use case is the Operational Data Hub . A Data Hub is useful for...
» more
Key customersMarkLogic has proven results managing mission-critical data with over 1,000 global...
» more
Market metricsMarkLogic is well known within the Fortune 1000, with a strong presence in financial...
» more
Licensing and pricing modelsMarkLogic provides a variety of licenses and cloud services: MarkLogic Data Hub Service...
» 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

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More resources
AllegroGraphKineticaMarkLogic
Conferences and events

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

Recent citations in the news

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

AllegroGraph Named to 100 Companies That Matter Most in Data
23 June 2020, PR Web

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

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

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

provided by Google News

In-Depth SWOT Analysis on GPU Database Market 2020 Booming Worldwide Kinetica, OmniSci,SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph , BlazingDB, Zilliz,Jedox, HeteroDB
21 September 2020, The Daily Chronicle

The Kinetica Streaming Data Warehouse Eliminates Legacy Analytics Latency with Simultaneous Streaming and Data Analysis
3 September 2020, Business Wire

Kinetica Streaming Data Warehouse Update Designed for Petabyte-Scale Data Sets
15 September 2020, TDWI

Global GPU Database Market To Touch Highest Milestone In Terms of Overall Growth By 2026
21 September 2020, openPR

COVID-19 Impact on GPU Database Market 2020: Global Industry Size, Growth, Emerging Trends, Business Opportunities, SWOT Analysis by Top Key Vendors, Demand and Forecast Research to 2025
26 August 2020, The Daily Chronicle

provided by Google News

Tag: MarkLogic
17 September 2020, thedailychronicle.in

NoSQL Market Size and Forecasts Research Report 2020-2025 | Microsoft, MongoDB, Oracle, Neo4j, MarkLogic
21 September 2020, The Daily Chronicle

How Covid-19 Will Reshape Graph Database Market : Competitive Outlook By 2026 OpenLink Software, TigerGraph, MarkLogic Corporation, Cray Inc, DataStax
19 September 2020, thedailychronicle.in

Hadoop Software and Integration Market, Share, Application Analysis, Regional Outlook, Competitive Strategies & Forecast up to 2025 | Pentaho Corporation, Amazon Web Services, Datameer, Inc., MarkLogic
21 September 2020, The Daily Chronicle

Insight Engines Software Market to Witness Stunning Growth |Google, Elasticsearch, Coveo, MarkLogic
16 September 2020, The Daily Chronicle

provided by Google News

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