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DBMS > Amazon Redshift vs. GraphDB vs. Splice Machine

System Properties Comparison Amazon Redshift vs. GraphDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.92
Rank#29  Overall
#16  Relational DBMS
Score2.11
Rank#121  Overall
#8  Graph DBMS
#5  RDF stores
Score0.88
Rank#181  Overall
#92  Relational DBMS
Websiteaws.amazon.com/­redshiftgraphdb.ontotext.comsplicemachine.com
Technical documentationdocs.aws.amazon.com/­redshiftgraphdb.ontotext.com/­documentationdoc.splicemachine.com
DeveloperAmazon (based on PostgreSQL)OntotextSplice Machine
Initial release201220002014
Current release9.4, September 20202.0
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesno infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaJava
Server operating systemshostedAll OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-free and OWL/RDFS-schema supportyes
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.nono
Secondary indexesrestrictedyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSPARQL is used as query languageyes
APIs and other access methodsJDBC
ODBC
GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
Native Spark Datasource
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions infoin PythonJava Server Pluginyes infoJava
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyes infoConstraint checkingyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Amazon RedshiftGraphDB infoformer name: OWLIMSplice Machine
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
THE ONLY SCALE-OUT SQL RDBMS WITH BUILT-IN MACHINE LEARNING For data-rich, real-time...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Operational Workloads: Full ACID support with high performance at scale Multi-row...
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
New AI/ML and IoT Applications Data Warehouse Offloads Application Modernization...
» 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
Kubernetes Community Edition: https://hub.helm.sh/charts/splicemachine/splice-helm...
» more
News

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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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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon RedshiftGraphDB infoformer name: OWLIMSplice Machine
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Conferences and events

Knowledge Graphs for Enterprise Data Management
Webinar, 4pm GMT, 8am PST, 5pm CET, 5 November 2020 (finished)

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