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DBMS > Vertica

Vertica System Properties

Please select another system to compare it with Vertica.

Our visitors often compare Vertica with Cassandra, Amazon Redshift and Teradata.

Editorial information provided by DB-Engines
NameVertica infoHPE Vertica Analytics Platform
DescriptionColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelRelational DBMS
Additional database modelsDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.65
Rank#27  Overall
#16  Relational DBMS
Websitewww.vertica.com
Technical documentationmy.vertica.com/­documentation/­vertica
DeveloperHewlett-Packard Enterprise infoVertica was acquired by HP in 2011
Current releaseHPE Vertica Analytics Platform 8.1.x, April 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 infoHPE Vertica 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

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

3rd party products and services

We invite representatives of 3rd party vendors to contact us for presenting information about their offerings here.

More resources
Vertica infoHPE Vertica Analytics Platform
Recent citations in the news

Micro Focus Expands Reach of Vertica Columnar Database
18 September 2017, IT Business Edge (blog)

In-database machine learning coming in Vertica 9
21 September 2017, App Developer Magazine

How Vertica 9 is Leading 'Analytics Everywhere' Move at Micro Focus
27 September 2017, eWeek

New Cladding Appears as The Livmore Rental Tower Rises Tall
27 October 2017, Urban Toronto

Micro Focus Announces Vertica 9
22 September 2017, StorageReview.com

provided by Google News

Job opportunities

Big Data Intern
MedeAnalytics, Dallas, TX

Big Data Engineer
MedeAnalytics, United States

Vertica Big Data Administrator
Wayfair, Boston, MA

Data Architect
Riot Games, Los Angeles, CA

Software Engineer - Big Data Specialist
JP Morgan Chase, New York, NY

jobs by Indeed




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