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DBMS > Teradata vs. Vertica

System Properties Comparison Teradata vs. Vertica

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Our visitors often compare Teradata and Vertica with Snowflake, Oracle and Greenplum.

Editorial information provided by DB-Engines
NameTeradata  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionA hybrid cloud data analytics software platform (Teradata Vantage)Columnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score70.29
Rank#18  Overall
#12  Relational DBMS
Score20.57
Rank#35  Overall
#21  Relational DBMS
Websitewww.teradata.comwww.vertica.com
Technical documentationdocs.teradata.comwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperTeradataVertica / Micro Focus infoprior to that Hewlett Packard
Initial release19842005
Current releaseTeradata Vantage 1.0 MU2, January 2019Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenono 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.
Server operating systemshosted
Linux
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.yesyes
Secondary indexesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLyes infoSQL 2016 + extensionsyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methods.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesC
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresyes infoUDFs, stored procedures, table functions in parallelyes
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoHashingSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source 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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
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
TeradataVertica 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.

Related products and services
3rd partiesSQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more

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More resources
TeradataVertica infoVertica Analytics Platform
DB-Engines blog posts

Teradata is the most popular data warehouse DBMS
2 April 2013, Paul Andlinger

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Recent citations in the news

Target Chooses Teradata Vantage on AWS to Modernise Data Analytics and Transform Supply Chain Management
6 December 2021, Business Wire

Teradata Appoints Jacqueline Woods as Chief Marketing Officer
18 November 2021, Yahoo Finance

Teradata Hosts a Virtual Event to Explore Connected Multi-Cloud Data Platforms for Enterprise Analytics
17 November 2021, Analytics Insight

Data can help companies leapfrog competition: Teradata President & CEO
29 November 2021, Business Standard

Teradata is Now Oversold (TDC)
30 November 2021, Nasdaq

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10 November 2021, PRNewswire

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20 July 2021, PRNewswire

Vertica Accelerator is Now Available on AWS
28 September 2021, Database Trends and Applications

Starburst Announces New Product Release Which Extends Flexibility When Building Data Lakehouse Architecture
16 November 2021, PR Newswire UK

Vertica and TCS Announce Strategic Partnership to Accelerate Enterprise Data Warehouse Modernization Initia...
19 May 2021, DevOps.com

provided by Google News

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