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DBMS > Amazon CloudSearch vs. Amazon DocumentDB vs. Google Cloud Datastore vs. Memcached

System Properties Comparison Amazon CloudSearch vs. Amazon DocumentDB vs. Google Cloud Datastore vs. Memcached

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformIn-memory key-value store, originally intended for caching
Primary database modelSearch engineDocument storeDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#133  Overall
#12  Search engines
Score1.91
Rank#124  Overall
#22  Document stores
Score4.13
Rank#71  Overall
#12  Document stores
Score16.84
Rank#32  Overall
#4  Key-value stores
Websiteaws.amazon.com/­cloudsearchaws.amazon.com/­documentdbcloud.google.com/­datastorewww.memcached.org
Technical documentationdocs.aws.amazon.com/­cloudsearchaws.amazon.com/­documentdb/­resourcescloud.google.com/­datastore/­docsgithub.com/­memcached/­memcached/­wiki
DeveloperAmazonGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release2012201920082003
Current release1.6.29, June 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoBSD license
Cloud-based only infoOnly available as a cloud serviceyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemshostedhostedhostedFreeBSD
Linux
OS X
Unix
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes, details hereno
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 infoall search fields are automatically indexedyesyesno
SQL infoSupport of SQLnonoSQL-like query language (GQL)no
APIs and other access methodsHTTP APIproprietary protocol using JSON (MongoDB compatible)gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Proprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonousing Google App Engineno
TriggersnonoCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication using Paxosnone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-document operationsACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infousing SASL (Simple Authentication and Security Layer) protocol

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More resources
Amazon CloudSearchAmazon DocumentDBGoogle Cloud DatastoreMemcached
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