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DBMS > EXASOL vs. IBM Cloudant vs. Vertica

System Properties Comparison EXASOL vs. IBM Cloudant vs. Vertica

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Database as a Service offering based on Apache CouchDBColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.70
Rank#90  Overall
#47  Relational DBMS
Score3.84
Rank#88  Overall
#15  Document stores
Score20.57
Rank#35  Overall
#21  Relational DBMS
Websitewww.exasol.comwww.ibm.com/­cloud/­cloudantwww.vertica.com
Technical documentationwww.exasol.com/­resourcescloud.ibm.com/­docs/­Cloudantwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperExasolIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Vertica / Micro Focus infoprior to that Hewlett Packard
Initial release200020102005
Current releaseVertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenoyesno infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlang
Server operating systemshostedLinux
Data schemeyesschema-freeyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesnoyes
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.nonoyes
Secondary indexesyesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLyesnoyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methods.Net
JDBC
ODBC
WebSocket
RESTful HTTP/JSON APIADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesJava
Lua
Python
R
C#
Java
JavaScript
Objective-C
PHP
Ruby
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functionsView functions (Map-Reduce) in JavaScriptyes
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyesyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyes
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.yesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users can be defined per databasefine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
EXASOLIBM CloudantVertica 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.

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More resources
EXASOLIBM CloudantVertica infoVertica Analytics Platform
Recent citations in the news

Pharmascience to use Exasol database to improve reporting - Healthcare Global
15 February 2021, Healthcare News, Magazine and Website

Exasol Joins AWS ISV Accelerate Program
15 July 2021, Business Wire

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