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DBMS > AllegroGraph vs. EsgynDB vs. HBase vs. Ignite

System Properties Comparison AllegroGraph vs. EsgynDB vs. HBase vs. Ignite

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonHBase  Xexclude from comparisonIgnite  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionWide-column store based on Apache Hadoop and on concepts of BigTableApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Relational DBMSWide column storeKey-value store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.23
Rank#156  Overall
#27  Document stores
#14  Graph DBMS
#7  RDF stores
Score0.24
Rank#278  Overall
#129  Relational DBMS
Score45.54
Rank#25  Overall
#2  Wide column stores
Score6.43
Rank#62  Overall
#8  Key-value stores
#34  Relational DBMS
Websiteallegrograph.comwww.esgyn.cnhbase.apache.orgignite.apache.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlhbase.apache.orgapacheignite.readme.io/­docs
DeveloperFranz Inc.EsgynApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software Foundation
Initial release2004201520082015
Current release7.2, October 20212.3.4, January 2021Apache Ignite 2.6
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoApache version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Cloudera Operational Database: Cloud-native autonomous Apache HBase for unparalleled scale, performance and reliability. Automate and simplify database management with capabilities like auto-scale, auto-heal, and auto-tune.
Implementation languageC++, JavaJavaC++, Java, .Net
Server operating systemsLinux
OS X
Windows
LinuxLinux
Unix
Windows infousing Cygwin
Linux
OS X
Solaris
Windows
Data schemeyes infoRDF schemasyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyes
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 possiblenonoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languageyesnoANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsRESTful HTTP API
SPARQL
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Groovy
Java
PHP
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispJava Stored Proceduresyes infoCoprocessors in Javayes (compute grid and cache interceptors can be used instead)
Triggersyesnoyesyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersMulti-source replication
Source-replica replication
yes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDSingle row ACID (across millions of columns)ACID
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.nonoyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACSecurity Hooks for custom implementations
More information provided by the system vendor
AllegroGraphEsgynDBHBaseIgnite
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Apache HBase is the leading NoSQL, distributed database management system, well suited...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
No single point of failure ensures very high availability with multiple customers...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Key customersApple, Salesforce, Cerner, Allegis Group, Bloomberg, Airtel, Thomson Reuters, Dish,...
» more
Market metrics#1 largest NoSQL database by revenue
» more
Licensing and pricing modelsApache license P ricing for commercial distribution provided by Cloudera and available...
» more
News

Franz’s AllegroGraph Name “Best Knowledge Graph” by KMWorld Readers’ Choice
8 November 2021

AllegroGraph v7.2 – Now Available (GNN, Virtual Graphs, Spark, and Kafka)
25 October 2021

Fuse Graph Neural Networks with Semantic Reasoning to Produce Complimentary Predictions
25 September 2021

Essilor’s Knowledge Graph for Global Supply Chain Risk Management
14 September 2021

No-Code Queries Can Accelerate AI and Data Analytics
1 September 2021

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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
AllegroGraphEsgynDBHBaseIgnite
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