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DBMS > GraphDB vs. HugeGraph vs. Impala

System Properties Comparison GraphDB vs. HugeGraph vs. Impala

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonHugeGraph  Xexclude from comparisonImpala  Xexclude from comparison
DescriptionEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportA fast-speed and highly-scalable Graph DBMSAnalytic DBMS for Hadoop
Primary database modelGraph DBMS
RDF store
Graph DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.11
Rank#137  Overall
#8  Graph DBMS
#5  RDF stores
Score0.08
Rank#303  Overall
#29  Graph DBMS
Score14.57
Rank#37  Overall
#23  Relational DBMS
Websitegraphdb.ontotext.comgithub.com/­hugegraphwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationgraphdb.ontotext.com/­documentationhugegraph.github.io/­hugegraph-docwww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperOntotextBaiduCloudera
Initial release200020182013
Current release8.8, January 20190.93.3.0, August 2019
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceno infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.nono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
Linux
macOS
Unix
Linux
Data schemeschema-free and OWL/RDFS-schema supportyesyes
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.nonono
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like DML and DDL statements
APIs and other access methodsGeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Groovy
Java
Python
All languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresJava Server Pluginasynchronous Gremlin script jobsyes infouser defined functions and integration of map-reduce
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingyes infoedges in graphno
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.yesno
User concepts infoAccess controlyesUsers, roles and permissionsAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos
More information provided by the system vendor
GraphDB infoformer name: OWLIMHugeGraphImpala
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
News

Artificial Intelligence and the Knowledge Graph
10 October 2019

Semantic Technology-based Media Publishing Boosts User Engagement
26 September 2019

Semantic Search or Knowing Your Customers So Well, You Can Finish Their Sentences For Them
10 September 2019

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16 August 2019

Smart Analysis of Pharma Research Literature Makes Novel Therapy Identification Easier
8 August 2019

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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
GraphDB infoformer name: OWLIMHugeGraphImpala
Recent citations in the news

Ontotext's GraphDB 9.0 Open-sources its Front-end and Engine Plugins to Empower Knowledge Graph Solutions
3 October 2019, PRNewswire

GraphDB 9.0 Open Sources Its Front End and Engine Plugins to Support Knowledge Graph Solutions
7 October 2019, Database Trends and Applications

Ontotext GraphDB - Handling Massive Loads, Queries and Inferencing in Real Time.
10 July 2019, KMWorld Magazine

Ontotext GraphDB Named Innovator in Bloor's Graph Database Market Research
11 February 2019, PRNewswire

Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer
13 June 2019, Yahoo Finance

provided by Google News

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Cloudera's a data warehouse player now
28 August 2018, ZDNet

Cloudera says Impala is faster than Hive, which isn't saying much
13 January 2014, GigaOM

Apache Impala gets top-level status as open source Hadoop tool
1 December 2017, TechTarget

Cloudera’s Impala brings Hadoop to SQL and BI
25 October 2012, ZDNet

provided by Google News

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