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DBMS > EXASOL vs. Kinetica vs. Vertica

System Properties Comparison EXASOL vs. Kinetica vs. Vertica

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonKinetica  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.GPU-accelerated database for real-time analysis of large and streaming datasetsColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.65
Rank#89  Overall
#45  Relational DBMS
Score0.72
Rank#201  Overall
#99  Relational DBMS
Score22.21
Rank#32  Overall
#19  Relational DBMS
Websitewww.exasol.comwww.kinetica.comwww.vertica.com
Technical documentationwww.exasol.com/­resourceswww.kinetica.com/­docswww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperExasolKineticaVertica / Micro Focus infoprior to that Hewlett Packard
Initial release200020122005
Current release6.0Vertica 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 servicenonono 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 languageC, C++
Server operating systemsLinuxLinux
Data schemeyesyesyes 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.nonoyes
Secondary indexesyesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesJava
Lua
Python
R
C++
Java
JavaScript (Node.js)
Python
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsyes
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles on table levelfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
EXASOLKineticaVertica 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
EXASOLKineticaVertica infoVertica Analytics Platform
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3 December 2020, Daily Research Correspondent

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2 December 2020, Canaan Mountain Herald

Global GPU Database Market Expected to Reach Highest CAGR By 2026: Nvidia, Kinetica DB, OmniSci, Neo4j, Brytlyt etc.
29 November 2020, The Haitian-Caribbean News Network

GPU Database Market Competitive Analysis And Forecast (2020 – 2025)|Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox
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Complicated and competitive: How Vertica navigates today's intricate world of database management
21 April 2020, SiliconANGLE

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24 November 2020, The Courier

Micro Focus announces major update to its Vertica data analytics platform
31 March 2020, SiliconANGLE

Vertica survives software industry turmoil to emerge as key cloud and big data player
13 April 2020, SiliconANGLE

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28 November 2020, The Market Feed

provided by Google News

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