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DBMS > Amazon CloudSearch vs. Amazon DynamoDB vs. Apache Druid

System Properties Comparison Amazon CloudSearch vs. Amazon DynamoDB vs. Apache Druid

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonApache Druid  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudHosted, scalable database service by Amazon with the data stored in Amazons cloudOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality data
Primary database modelSearch engineDocument store
Key-value store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#116  Overall
#10  Search engines
Score76.93
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score3.27
Rank#93  Overall
#48  Relational DBMS
#6  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchaws.amazon.com/­dynamodbdruid.apache.org
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.aws.amazon.com/­dynamodbdruid.apache.org/­docs/­latest/­design
DeveloperAmazonAmazonApache Software Foundation and contributors
Initial release201220122012
Current release0.21.0, April 2021
License infoCommercial or Open Sourcecommercialcommercial infofree tier for a limited amount of database operationsOpen Source infoApache license v2
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedhostedLinux
OS X
Unix
Data schemeyesschema-freeyes infoschema-less columns are supported
Typing infopredefined data types such as float or dateyesyesyes
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.no
Secondary indexesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLnonoSQL for querying
APIs and other access methodsHTTP APIRESTful HTTP APIJDBC
RESTful HTTP/JSON API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Server-side scripts infoStored proceduresnonono
Triggersnoyes infoby integration with AWS Lambdano
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingSharding infomanual/auto, time-based
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesyes, via HDFS, S3 or other storage engines
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoACID across one or more tables within a single AWS account and regionno
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.no
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)RBAC using LDAP or Druid internals for users and groups for read/write by datasource and system

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More resources
Amazon CloudSearchAmazon DynamoDBApache Druid
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