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DBMS > Vertica

Vertica System Properties

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Editorial information provided by DB-Engines
NameVertica infoVertica Analytics Platform
DescriptionColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelRelational DBMS
Secondary database modelsDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.82
Rank#27  Overall
#16  Relational DBMS
Websitewww.vertica.com
Technical documentationmy.vertica.com/­documentation/­vertica
DeveloperVertica / Micro Focus infoprior to that Hewlett Packard
Current releaseVertica Analytics Platform 9.0, September 2017
License infoCommercial or Open Sourcecommercial infoLimited community edition free
Cloud-based infoOnly available as a cloud serviceno infoavailable on Amazon AWS and Microsoft Azure
Server operating systemsLinux
Data schemeyes infoUnstructured data can be stored in specific Flex-Tables
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.yes
Secondary indexesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsKafka
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
Perl
Python
R
Server-side scripts infoStored proceduresyes
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infowith Vertica Connector for Hadoop
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
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

Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability, ANSI SQL, Cloud & On-prem

Competitive advantages

Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in place. Users report SQL queries run up to 500 times faster than traditional databases. First databases to offer in-database machine learning

Typical application scenarios

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

Key customers

Auckland Transport, AOL, Anritsu, Avito, Bla Bla Car, Cardlytics, Cerner, Conservation International, Criteo, Datorama, EasyData, Empirix, Finansbank, Game Show Network, GoodData, hMetrix, iContact, Innovo, Integra Group, Intuit, Lastminute.com, Ministry of Interior Spain, Monsanto, MTS India, Nascar, New York Genome Center, Nimble Storage, Optimal Plus, Playtika, Procera Networks, QNB Finansbank, SkyIT, Skymedia SRL, Spirent, Supercell, Suunto, Tapjoy, ThinkData Works, Trane, Uber, Virgin Racing, Wayfair, Westwing, Yellowpages, and more...

Licensing and pricing models

Cost-based models and subscription-based models are available

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
Recent citations in the news

Chris Lynch, former CEO of Vertica, is AtScale's new CEO
26 June 2018, ZDNet

Former Vertica CEO Takes Helm at AtScale
27 June 2018, Datanami

GE-backed startup Tamr says new $18M round is the last it will need
11 July 2018, Boston Business Journal

Startup Aiming At Oracle, IBM in $70B Market Fits What VCs Want
17 July 2018, Forbes

“Above the Trend Line” – Your Industry Rumor Central for 7/16/2018
16 July 2018, insideBIGDATA

provided by Google News

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