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DBMS > GraphDB vs. Impala vs. MySQL

System Properties Comparison GraphDB vs. Impala vs. MySQL

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonImpala  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionEnterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.Analytic DBMS for HadoopWidely used open source RDBMS
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.44
Rank#109  Overall
#6  Graph DBMS
#4  RDF stores
Score19.56
Rank#36  Overall
#22  Relational DBMS
Score1228.38
Rank#2  Overall
#2  Relational DBMS
Websitewww.ontotext.comwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.mysql.com
Technical documentationgraphdb.ontotext.com/­documentationdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmldev.mysql.com/­doc
DeveloperOntotextClouderaOracle infosince 2010, originally MySQL AB, then Sun
Initial release200020131995
Current release9.8, June 20213.4.0, April 20208.0.25, May 2021
License infoCommercial or Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache Version 2Open Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C and C++
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
LinuxFreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesyesyes
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.nonoyes
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL-like DML and DDL statementsyes infowith proprietary extensions
APIs and other access methodsGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBCAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilityyes infouser defined functions and integration of map-reduceyes infoproprietary syntax
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
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 controlDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.Access rights for users, groups and roles infobased on Apache Sentry and KerberosUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
GraphDB infoformer name: OWLIMImpalaMySQL
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

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More resources
GraphDB infoformer name: OWLIMImpalaMySQL
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Conferences and events

Analyzing unstructured data with GraphDB 9.8
Webinar, 8am PDT / 11am EDT / 5pm CEST, 24 June 2021 (finished)

Recent citations in the news

Ontotext GraphDB 9.4 Enables SQL Access to Knowledge Graphs and Visual Mapping of Tabular Data to RDF
11 September 2020, PRNewswire

eccenca and Ontotext Partner to Advance Enterprise Data Management
3 February 2021, PRNewswire

Johnson Controls Selects Ontotext's GraphDB for the New Version of Metasys Building Automation System
18 November 2020, PRNewswire

GraphDB 9.5 Offers Data Virtualization From Tables to Graphs and Back
9 December 2020, PRNewswire

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

provided by Google News

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

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

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

Man Busts Out of Google, Rebuilds Top-Secret Query Machine
24 October 2012, Wired

Unravel Data Adds Native Support for Impala and Kafka
29 June 2017, insideBIGDATA

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A deeper dive into Facebook's MySQL 8.0 migration
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Facebook outlines lessons learned from MySQL 8.0 migration
22 July 2021, ZDNet

Rockset adds MySQL connector to real-time indexing database
9 July 2021, TechTarget

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10 July 2021, MakeUseOf

Just $20 to learn how MySQL, API’s, and forms fit into modern web development
9 July 2021, Computerworld

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