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DBMS > Amazon DynamoDB vs. GigaSpaces vs. H2 vs. Microsoft Azure Cosmos DB vs. Percona Server for MySQL

System Properties Comparison Amazon DynamoDB vs. GigaSpaces vs. H2 vs. Microsoft Azure Cosmos DB vs. Percona Server for MySQL

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonH2  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Globally distributed, horizontally scalable, multi-model database serviceEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.
Primary database modelDocument store
Key-value store
Document store
Object oriented DBMS infoValues are user defined objects
Relational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
Spatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score2.03
Rank#122  Overall
#57  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.gigaspaces.comwww.h2database.comazure.microsoft.com/­services/­cosmos-dbwww.percona.com/­software/­mysql-database/­percona-server
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.gigaspaces.com/­latest/­landing.htmlwww.h2database.com/­html/­main.htmllearn.microsoft.com/­azure/­cosmos-dbwww.percona.com/­downloads/­Percona-Server-LATEST
DeveloperAmazonGigaspaces TechnologiesThomas MuellerMicrosoftPercona
Initial release20122000200520142008
Current release15.5, September 20202.2.220, July 20238.0.36-28, 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2; Commercial licenses availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJavaC and C++
Server operating systemshostedLinux
macOS
Solaris
Windows
All OS with a Java VMhostedLinux
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes 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.no infoXML can be used for describing objects metadatanoyes
Secondary indexesyesyesyesyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsyesSQL-like query languageyes
APIs and other access methodsRESTful HTTP APIGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C++
Java
Python
Scala
Java.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesJava Stored Procedures and User-Defined FunctionsJavaScriptyes
Triggersyes infoby integration with AWS Lambdayes, event driven architectureyesJavaScriptyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
With clustering: 2 database servers on different computers operate on identical copies of a databaseyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
XtraDB Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infoMap-Reduce pattern can be built with XAP task executorsnowith 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 Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
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 regionACIDACIDMulti-item ACID transactions with snapshot isolation within a partitionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.yesyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role-based access controlfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelUsers with fine-grained authorization concept infono user groups or roles

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More resources
Amazon DynamoDBGigaSpacesH2Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBPercona Server for MySQL
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