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DBMS > Linter vs. Vertica

System Properties Comparison Linter vs. Vertica

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Editorial information provided by DB-Engines
NameLinter  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionRDBMS for high security requirementsColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.03
Rank#339  Overall
#138  Relational DBMS
Score23.80
Rank#29  Overall
#17  Relational DBMS
Websitelinter.ru/­enwww.vertica.com
Technical documentationwww.vertica.com/­documentation/­vertica
Developerrelex.ru/­enVertica / Micro Focus infoprior to that Hewlett Packard
Initial release19902005
Current releaseVertica Analytics Platform 9.2.x, March 2019
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenono infoavailable on Amazon AWS and Microsoft Azure
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++
Server operating systemsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
Data schemeyesyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyes
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.noyes
Secondary indexesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLyesyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsJDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
ADO.NET
Kafka
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresyes infoproprietary syntax with the possibility to convert from PL/SQLyes
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
LinterVertica 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
LinterVertica infoVertica Analytics Platform
Recent citations in the news

F&S Whitepaper: How Vertica Helping FSIs Take on Big Data - and Win
29 July 2019, Database Trends and Applications

Microsoft and Informatica make coordinated data warehouse migration move
6 August 2019, ZDNet

You Can't Do Machine Learning Inside a Database. Can You?
1 April 2019, Datanami

Global Mobile Analytics Market Outlook, 2019-2024: Analysis on Application, Campaign, and Service Analytics
25 July 2019, GlobeNewswire

GoodData Expands Its Open Cloud Strategy with Vertica Partnership
12 March 2019, GlobeNewswire

provided by Google News

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