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DBMS > Amazon DocumentDB vs. atoti vs. EventStoreDB vs. searchxml

System Properties Comparison Amazon DocumentDB vs. atoti vs. EventStoreDB vs. searchxml

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonatoti  Xexclude from comparisonEventStoreDB  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Industrial-strength, open-source database solution built from the ground up for event sourcing.DBMS for structured and unstructured content wrapped with an application server
Primary database modelDocument storeObject oriented DBMSEvent StoreNative XML DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websiteaws.amazon.com/­documentdbatoti.iowww.eventstore.comwww.searchxml.net/­category/­products
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.atoti.iodevelopers.eventstore.comwww.searchxml.net/­support/­handouts
DeveloperActiveViamEvent Store Limitedinformationpartners gmbh
Initial release201920122015
Current release21.2, February 20211.0
License infoCommercial or Open Sourcecommercialcommercial infofree versions availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemshostedLinux
Windows
Windows
Data schemeschema-freeschema-free
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.noyes
Secondary indexesyesyes
SQL infoSupport of SQLnoMultidimensional Expressions (MDX)no
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnoPythonyes infoon the application server
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
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.yesno
User concepts infoAccess controlAccess rights for users and rolesDomain, group and role-based access control at the document level and for application services

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More resources
Amazon DocumentDBatotiEventStoreDBsearchxml
Recent citations in the news

AWS announces Amazon DocumentDB zero-ETL integration with Amazon OpenSearch Service
16 May 2024, AWS Blog

Use LangChain and vector search on Amazon DocumentDB to build a generative AI chatbot | Amazon Web Services
20 May 2024, AWS Blog

Vector search for Amazon DocumentDB (with MongoDB compatibility) is now generally available | Amazon Web Services
29 November 2023, AWS Blog

AWS announces Amazon DocumentDB I/O-Optimized
21 November 2023, AWS Blog

Use headless clusters in Amazon DocumentDB for cost-effective multi-Region resiliency | Amazon Web Services
8 March 2024, AWS Blog

provided by Google News

Best use of cloud: ActiveViam
28 November 2023, Risk.net

provided by Google News



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