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DBMS > Amazon CloudSearch vs. Amazon DynamoDB vs. Vertica

System Properties Comparison Amazon CloudSearch vs. Amazon DynamoDB vs. Vertica

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonVertica infoVertica Analytics Platform  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 cloudColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelSearch engineDocument store
Key-value store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.06
Rank#86  Overall
#9  Search engines
Score62.02
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score22.65
Rank#29  Overall
#17  Relational DBMS
Websiteaws.amazon.com/­cloudsearchaws.amazon.com/­dynamodbwww.vertica.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.aws.amazon.com/­dynamodbwww.vertica.com/­documentation/­vertica
DeveloperAmazonAmazonVertica / Micro Focus infoprior to that Hewlett Packard
Initial release201220122005
Current releaseVertica Analytics Platform 9.2.x, March 2019
License infoCommercial or Open Sourcecommercialcommercial infofree tier for a limited amount of database operationscommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesyesno infoavailable on Amazon AWS and Microsoft Azure
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshostedhostedLinux
Data schemeyesschema-freeyes infoUnstructured data can be stored in specific Flex-Tables
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.yes
Secondary indexesyes infoall search fields are automatically indexedyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnonoyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsHTTP APIRESTful HTTP APIADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnonoyes
Triggersnoyes infoby integration with AWS Lambdano
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency
Foreign keys infoReferential integritynonoyes
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 regionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Amazon CloudSearchAmazon DynamoDBVertica infoVertica Analytics Platform
Specific characteristicsColumnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesPerformance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are available
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
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More resources
Amazon CloudSearchAmazon DynamoDBVertica infoVertica Analytics Platform
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