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DBMS > Amazon Redshift vs. Google Cloud Firestore vs. GraphDB vs. Kinetica vs. Snowflake

System Properties Comparison Amazon Redshift vs. Google Cloud Firestore vs. GraphDB vs. Kinetica vs. Snowflake

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonKinetica  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Enterprise-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.Fully vectorized database across both GPUs and CPUsCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSDocument storeGraph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.63
Rank#33  Overall
#20  Relational DBMS
Score9.97
Rank#47  Overall
#8  Document stores
Score2.91
Rank#106  Overall
#8  Graph DBMS
#4  RDF stores
Score0.74
Rank#229  Overall
#105  Relational DBMS
Score125.38
Rank#9  Overall
#6  Relational DBMS
Websiteaws.amazon.com/­redshiftfirebase.google.com/­products/­firestorewww.ontotext.comwww.kinetica.comwww.snowflake.com
Technical documentationdocs.aws.amazon.com/­redshiftfirebase.google.com/­docs/­firestoregraphdb.ontotext.com/­documentationdocs.kinetica.comdocs.snowflake.net/­manuals/­index.html
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperAmazon (based on PostgreSQL)GoogleOntotextKineticaSnowflake Computing Inc.
Initial release20122017200020122014
Current release10.4, October 20237.1, August 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC, C++
Server operating systemshostedhostedAll OS with a Java VM
Linux
OS X
Windows
Linuxhosted
Data schemeyesschema-freeschema-free and OWL/RDFS-schema support; RDF shapesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononoyes
Secondary indexesrestrictedyesyes, 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-standardnostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
RESTful HTTP API
CLI Client
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes, Firebase Rules & Cloud Functionswell-defined plugin interfaces; JavaScript server-side extensibilityuser defined functionsuser defined functions
Triggersnoyes, with Cloud Functionsnoyes infotriggers when inserted values for one or more columns fall within a specified rangeno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationMulti-source replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyes infoConstraint checkingyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Default 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 and roles on table levelUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
Amazon RedshiftGoogle Cloud FirestoreGraphDB infoformer name: OWLIMKineticaSnowflake
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» 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 data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
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