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DBMS > Amazon DynamoDB vs. GridGain vs. Microsoft Azure Cosmos DB vs. Postgres-XL

System Properties Comparison Amazon DynamoDB vs. GridGain vs. Microsoft Azure Cosmos DB vs. Postgres-XL

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudGridGain is an in-memory computing platform, built on Apache IgniteGlobally distributed, horizontally scalable, multi-model database serviceBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelDocument store
Key-value store
Key-value store
Relational DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score77.72
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score1.59
Rank#158  Overall
#26  Key-value stores
#73  Relational DBMS
Score30.39
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.56
Rank#253  Overall
#115  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.gridgain.comazure.microsoft.com/­services/­cosmos-dbwww.postgres-xl.org
Technical documentationdocs.aws.amazon.com/­dynamodbwww.gridgain.com/­docs/­index.htmllearn.microsoft.com/­azure/­cosmos-dbwww.postgres-xl.org/­documentation
DeveloperAmazonGridGain Systems, Inc.Microsoft
Initial release2012200720142014 infosince 2012, originally named StormDB
Current releaseGridGain 8.5.110 R1, October 2018
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC
Server operating systemshostedLinux
OS X
Solaris
Windows
hostedLinux
macOS
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infoJSON typesyes
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.yesyes infoXML type, but no XML query functionality
Secondary indexesyesyesyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLSQL-like query languageyes infodistributed, parallel query execution
APIs and other access methodsRESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)JavaScriptuser defined functions
Triggersyes infoby integration with AWS Lambdayes (cache interceptors and events)JavaScriptyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)yes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes (compute grid and hadoop accelerator)with Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACIDMulti-item ACID transactions with snapshot isolation within a partitionACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Security Hooks for custom implementationsAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard

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More resources
Amazon DynamoDBGridGainMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBPostgres-XL
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