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DBMS > Vertica

Vertica System Properties

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Editorial information provided by DB-Engines
NameVertica infoVertica Analytics Platform
DescriptionCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.43
Rank#42  Overall
#27  Relational DBMS
Websitewww.vertica.com
Technical documentationvertica.com/­documentation
DeveloperOpenText infopreviously Micro Focus and Hewlett Packard
Initial release2005
Current release12.0.3, January 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceno infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Vertica Accelerator’s high-performance analytics and machine learning with SQL or Python is available as SaaS.
Implementation languageC++
Server operating systemsLinux
Data schemeYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyes
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 indexesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Vertica infoVertica Analytics Platform
Specific characteristics

Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud, clouds, edge, containers. Offers high speed business intelligence, plus advanced analytics, in-database machine learning, geospatial, and time-series analytics.

Competitive advantages

Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages cloud or off-cloud object stores for main repository. Broader analytical function set than any other database in class. No up-charge for broader set of functions, including machine learning, text analysis, geospatial, and time series analysis.

Typical application scenarios

Communication and network analytics, Embedded analytics, Fraud monitoring and Risk management, Data Warehouse modernization, IoT analytics, Customer behavior analytics, Predictive maintenance

Key customers

Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport, Barnes-Jewish Hospital, Bayer Climate Corps, Bla Bla Car, Broadpeak, Catch Media, Cardlytics, China Telecom Climate Corporation, Criteo, Chevron Group, Choice Hotels, Datorama, deltaDNA, EasyData, Edx, Empirix, Finansbank, Game Show Network, GoodData, Guess, hMetrix, HPE Nimble Storage, Integra Group, Inovvo, Jaguar, JSC ATS, Lamoda, Lancope, Matrimony.com, Maxcom, MD Insider, Ministry of Interior Spain, NSoft, National Instruments, Playtika, Propeller Ads, Pulselight, RedPharma, Retail Solutions, RingCentral, Sandvine, Segment Of One (SO1), Sibur. Simpli.fi, SkyIT, Spirent, Sportium, Suunto, SysMech, Taboola, Tapjoy, Telia Eesti AS, The Trade Desk, ThinkData Works, Trane, Tuenti, Virgin Racing, Wandera, Westwing, World Wide Technology, and more.

Licensing and pricing models

Cost-based models and subscription-based models are both available. One license is fungible for multiple deployments. Vertica charges for capacity, not functionality. All versions, including the free version, include all 650+ functions.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Vertica infoVertica Analytics Platform
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