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DBMS > AllegroGraph vs. Ignite vs. Kinetica

System Properties Comparison AllegroGraph vs. Ignite vs. Kinetica

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonIgnite  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.GPU-accelerated database for real-time analysis of large and streaming datasets
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Key-value store
Relational DBMS
Relational DBMS
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
Score5.32
Rank#72  Overall
#12  Key-value stores
#39  Relational DBMS
Score0.75
Rank#193  Overall
#95  Relational DBMS
Websiteallegrograph.comignite.apache.orgwww.kinetica.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlapacheignite.readme.io/­docswww.kinetica.com/­docs
DeveloperFranz Inc.Apache Software FoundationKinetica
Initial release200420152012
Current release7.0.0, April 2020Apache Ignite 2.66.0
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache 2.0commercial
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++, Java, .NetC, C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyes infoRDF schemasyesyes
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 possibleyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP API
SPARQL
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes (compute grid and cache interceptors can be used instead)user defined functions
Triggersyesyes (cache interceptors and events)yes infotriggers when inserted values for one or more columns fall within a specified range
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
yes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.noyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationSecurity Hooks for custom implementationsAccess rights for users and roles on table level
More information provided by the system vendor
AllegroGraphIgniteKinetica
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

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More resources
AllegroGraphIgniteKinetica
Conferences and events

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

Recent citations in the news

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

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

Franz's AllegroGraph 7 Powers First Distributed Semantic Knowledge Graph Solution with Federated-Sharding
29 April 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

provided by Google News

GridGain Experts Share In-Memory Computing Strategies, Offer Practical Advice and Best Practices at Multiple Virtual Events
1 September 2020, GlobeNewswire

GridGain Announces Nebula Managed Service for Apache Ignite and GridGain In-Memory Computing Platforms
7 July 2020, GlobeNewswire

GridGain Control Center for Managing GridGain and Apache Ignite Now Available
2 June 2020, GlobeNewswire

Apache Ignite team grants users' wish for better observability
12 March 2020, DevClass

GridGain Control Center for On-Premises Use Lets Companies Manage, Monitor and Develop Applications on GridGain and Apache Ignite Inside Their Network
16 July 2020, GlobeNewswire

provided by Google News

GPU Database Market is Ready to Set Outstanding Growth in 2020 | Kinetica, Omnisci, Sqream, Neo4j
15 September 2020, thedailychronicle.in

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

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

GPU Database Market Quality & Quantity Analysis | Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph
14 September 2020, Daily Research Chronicle

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

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