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DBMS > Amazon DocumentDB vs. H2

System Properties Comparison Amazon DocumentDB vs. H2

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonH2  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database modelDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.64
Rank#136  Overall
#22  Document stores
Score10.12
Rank#47  Overall
#30  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.h2database.com
Technical documentationaws.amazon.com/­documentdb/­resourceswww.h2database.com/­html/­main.html
DeveloperThomas Mueller
Initial release20192005
Current release1.4.200, October 2019
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedAll OS with a Java VM
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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 indexesyesyes
SQL infoSupport of SQLnoyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Java
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined Functions
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasWith clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBH2
Recent citations in the news

AWS Announces Three New Database Capabilities
1 December 2021, Yahoo Finance

Amazon DocumentDB adds Global Clusters
2 June 2021, ZDNet

New Relic : Full-stack observability for all engineers building on AWS
30 November 2021, marketscreener.com

Amazon DocumentDB (with MongoDB compatibility) adds support for Access Control with User-Defined Roles
26 October 2021, marketscreener.com

Introduction to Amazon DocumentDB With MongoDB Compatibility
19 October 2020, AiThority

provided by Google News

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