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DBMS > Amazon CloudSearch vs. Vertica

System Properties Comparison Amazon CloudSearch vs. Vertica

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Our visitors often compare Amazon CloudSearch and Vertica with Elasticsearch, Splunk and MongoDB.

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionA hosted search engine 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 engineRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.50
Rank#97  Overall
#10  Search engines
Score22.55
Rank#29  Overall
#17  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.vertica.com
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.vertica.com/­documentation/­vertica
DeveloperAmazonVertica / Micro Focus infoprior to that Hewlett Packard
Initial release20122005
Current releaseVertica Analytics Platform 9.2.x, March 2019
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesno 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 systemshostedLinux
Data schemeyesyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyes
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 indexedno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnoyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsHTTP APIKafka
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnoyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Amazon CloudSearchVertica 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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More resources
Amazon CloudSearchVertica infoVertica Analytics Platform
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