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DBMS > Amazon CloudSearch vs. Amazon DynamoDB vs. Apache Impala vs. Hypertable

System Properties Comparison Amazon CloudSearch vs. Amazon DynamoDB vs. Apache Impala vs. Hypertable

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonApache Impala  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
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 cloudAnalytic DBMS for HadoopAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelSearch engineDocument store
Key-value store
Relational DBMSWide column store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score13.77
Rank#40  Overall
#24  Relational DBMS
Websiteaws.amazon.com/­cloudsearchaws.amazon.com/­dynamodbimpala.apache.org
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.aws.amazon.com/­dynamodbimpala.apache.org/­impala-docs.html
DeveloperAmazonAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaHypertable Inc.
Initial release2012201220132009
Current release4.1.0, June 20220.9.8.11, March 2016
License infoCommercial or Open Sourcecommercialcommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2Open Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemshostedhostedLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexedyesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsno
APIs and other access methodsHTTP APIRESTful HTTP APIJDBC
ODBC
C++ API
Thrift
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBCC++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reduceno
Triggersnoyes infoby integration with AWS Lambdanono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesselectable replication factorselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
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 regionnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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)Access rights for users, groups and roles infobased on Apache Sentry and Kerberosno

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More resources
Amazon CloudSearchAmazon DynamoDBApache ImpalaHypertable
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