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DBMS > Amazon DocumentDB vs. ClickHouse vs. Google Search Appliance

System Properties Comparison Amazon DocumentDB vs. ClickHouse vs. Google Search Appliance

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonClickHouse  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceColumn-oriented Relational DBMS powering YandexThe Google Search Appliance consists of hardware and software for indexing documents in local networks.
Primary database modelDocument storeRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#182  Overall
#26  Document stores
Score3.33
Rank#82  Overall
#41  Relational DBMS
Score2.77
Rank#94  Overall
#10  Search engines
Websiteaws.amazon.com/­documentdbclickhouse.yandexenterprise.google.com/­search/­products/­gsa.html
Technical documentationaws.amazon.com/­documentdb/­resourcesclickhouse.yandex/­docssupport.google.com/­gsa
DeveloperYandex LLCGoogle
Initial release201920162002
Current releasev19.13.3.26, August 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshosted
Data schemeschema-free
Typing infopredefined data types such as float or dateyes
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 indexesyes
SQL infoSupport of SQLnono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Administrative API
Browser interface
HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMaster-slave replication
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 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 operations
Concurrency infoSupport for concurrent manipulation of datayesyes
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.no
User concepts infoAccess controlAccess rights for users and rolesUser authentication via various security protocols

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More resources
Amazon DocumentDBClickHouseGoogle Search Appliance
Recent citations in the news

AWS Announces Amazon DocumentDB (with MongoDB Compatibility)
9 January 2019, Business Wire

Alibaba Cloud to offer MongoDB managed service
30 October 2019, ZDNet

How We'll Know If Amazon's DocumentDB Is Hurting MongoDB
21 March 2019, The Motley Fool

Amazon DocumentDB Speeds Up With Slow Queries Logging
20 August 2019, Computer Business Review

DocumentDB vs. DynamoDB: Compare AWS NoSQL databases
26 April 2019, TechTarget

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Cognitive Data Management Market to Witness Huge Growth by 2025| Wipro, Datum, Reltio, Talend, HPE, Oracle, Saksoft, Snaplogic, Strongbox Data Solutions
13 November 2019, Eastlake Times

So Long Google Search Appliance
4 February 2016, Fortune

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10 June 2019, Motley Fool

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8 January 2014, TechRepublic

Google Search Appliance May Be Gone, But Category Lives On
27 May 2016, Fortune

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