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DBMS > Amazon Redshift vs. GridGain vs. Microsoft Azure Cosmos DB vs. NSDb vs. RDFox

System Properties Comparison Amazon Redshift vs. GridGain vs. Microsoft Azure Cosmos DB vs. NSDb vs. RDFox

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonNSDb  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsGridGain is an in-memory computing platform, built on Apache IgniteGlobally distributed, horizontally scalable, multi-model database serviceScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSKey-value store
Relational DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Time Series DBMSGraph DBMS
RDF store
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websiteaws.amazon.com/­redshiftwww.gridgain.comazure.microsoft.com/­services/­cosmos-dbnsdb.iowww.oxfordsemantic.tech
Technical documentationdocs.aws.amazon.com/­redshiftwww.gridgain.com/­docs/­index.htmllearn.microsoft.com/­azure/­cosmos-dbnsdb.io/­Architecturedocs.oxfordsemantic.tech
DeveloperAmazon (based on PostgreSQL)GridGain Systems, Inc.MicrosoftOxford Semantic Technologies
Initial release20122007201420172017
Current releaseGridGain 8.5.16.0, Septermber 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, C++, .NetJava, ScalaC++
Server operating systemshostedLinux
OS X
Solaris
Windows
hostedLinux
macOS
Linux
macOS
Windows
Data schemeyesyesschema-freeyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyes infoJSON typesyes: int, bigint, decimal, stringyes
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.noyesno
Secondary indexesrestrictedyesyes infoAll properties auto-indexed by defaultall fields are automatically indexed
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardANSI-99 for query and DML statements, subset of DDLSQL-like query languageSQL-like query languageno
APIs and other access methodsJDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
gRPC
HTTP REST
WebSocket
RESTful HTTP API
SPARQL 1.1
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Java
Scala
C
Java
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes (compute grid and cache interceptors can be used instead)JavaScriptno
Triggersnoyes (cache interceptors and events)JavaScript
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)yes infoImplicit feature of the cloud servicereplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)with Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDMulti-item ACID transactions with snapshot isolation within a partitionnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsAccess rights can be defined down to the item levelRoles, resources, and access types

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More resources
Amazon RedshiftGridGainMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBNSDbRDFox
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