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DBMS > Amazon CloudSearch vs. Druid vs. Google Cloud Datastore

System Properties Comparison Amazon CloudSearch vs. Druid vs. Google Cloud Datastore

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonDruid  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudOpen-source analytics data store designed for OLAP queries on timeseries dataAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform
Primary database modelSearch engineRelational DBMS
Time Series DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.69
Rank#93  Overall
#10  Search engines
Score1.84
Rank#113  Overall
#57  Relational DBMS
#7  Time Series DBMS
Score5.25
Rank#58  Overall
#9  Document stores
Websiteaws.amazon.com/­cloudsearchdruid.iocloud.google.com/­datastore
Technical documentationdocs.aws.amazon.com/­cloudsearchdruid.io/­docs/­latest/­design/­index.htmlcloud.google.com/­datastore/­docs
DeveloperAmazonMetamarkets Group and contributorsGoogle
Initial release201220122008
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedLinux
OS X
Unix
hosted
Data schemeyesyes infoschema-less columns are supportedschema-free
Typing infopredefined data types such as float or dateyesyesyes, details here
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 indexedyesyes
SQL infoSupport of SQLnoSQL support via Apache Calcite adapterSQL-like query language (GQL)
APIs and other access methodsHTTP APIJSON over HTTPgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonousing Google App Engine
TriggersnonoCallbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes, via HDFS, S3 or other storage enginesMulti-Master replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflow
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 integritynonoyes infovia ReferenceProperties or Ancestor paths
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlauthentication via encrypted signaturesno infoavailable via extensionsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Amazon CloudSearchDruidGoogle Cloud Datastore
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