Compare Teradata vs. Vertica

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Teradata Logo
21,843 views|16,237 comparisons
Vertica Logo
15,162 views|8,678 comparisons
Most Helpful Review
Find out what your peers are saying about Teradata vs. Vertica and other solutions. Updated: September 2020.
437,827 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
It is a stable program.The most valuable features are the Shared-nothing architecture and data protection functionality.The feature that we find most valuable is its ability to perform Massive Parallel Processing.

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Speed and resiliency are probably the best parts of this product.For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments.Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data.Allows us to take volumes and process them at a very high speed.The performance is very good and the aggregate records are fast.Eighty percent of the ETL operations have improved since implementing this solution.It maximize cloud economics for mission-critical big data analytical initiatives.It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands.

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Cons
An additional feature I would you like to see included in the next release, is that it needs to be more cloud-friendly.The user interface needs to be improved.I would like to see an improved Knowledge Base on the web.

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The geospatial functionality could be designed better.Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint.Support is an area where it could get better.Promotion/marketing must be improved, even though it is a very useful product at very good price, it is not as "popular" as it should be.When it is about to reach the maximum storage capacity, it becomes slow.Fact-to-fact joins on multi-billion record tables perform poorly.It needs integration with multiple clouds.

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Pricing and Cost Advice
The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space.

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From a cost perspective, the software is less than most of its competitors.It is fast to purchase through the AWS Marketplace.The pricing and licensing depend on the size of your environment and the zone where you want to implement.

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Questions from the Community
Top Answer: It is a stable program.
Top Answer: What really needs to improve, is their general cloud services. That is their biggest downfall at the moment.
Top Answer: We are only consultants, so we don't use the program ourselves.
Top Answer: I haven't used SQream personally. However, if you are only considering GPU based rdbms's please check the following https://hackernoon.com/which-gpu-database-is-right-for-me-6ceef6a17505
Top Answer: The performance is very good and the aggregate records are fast.
Top Answer: When it is about to reach the maximum storage capacity, it becomes slow.
Ranking
6th
Views
21,843
Comparisons
16,237
Reviews
3
Average Words per Review
159
Avg. Rating
8.0
3rd
out of 32 in Data Warehouse
Views
15,162
Comparisons
8,678
Reviews
5
Average Words per Review
620
Avg. Rating
9.0
Popular Comparisons
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Also Known As
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
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Teradata
Micro Focus
Overview

Teradata's portfolio of big data analytic solutions, integrated marketing applications, and services help organizations gain a sustainable competitive advantage with data.

Micro Focus Vertica is the most advanced SQL database analytics portfolio built from the very first line of code to address the most demanding Big Data analytics initiatives. Micro Focus Vertica delivers speed without compromise, scale without limits, and the broadest range of consumption models. Choose Vertica on premise, on demand, in the cloud, or on Hadoop. With support for all leading BI and visualization tools, open source technologies like Hadoop and R, and built-in analytical functions, Vertica helps you derive more value from your Enterprise Data Warehouse and data lakes and get to market faster with your analytics initiatives.

To learn more about Micro Focus Vertica Advanced Analytics, visit our website.

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Sample Customers
NetflixCerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Top Industries
REVIEWERS
Comms Service Provider38%
Energy/Utilities Company13%
Financial Services Firm13%
Logistics Company13%
VISITORS READING REVIEWS
Computer Software Company48%
Media Company9%
Comms Service Provider8%
Financial Services Firm5%
REVIEWERS
Media Company20%
Computer Software Company20%
Marketing Services Firm17%
Comms Service Provider13%
VISITORS READING REVIEWS
Computer Software Company43%
Comms Service Provider11%
Media Company9%
Financial Services Firm5%
Find out what your peers are saying about Teradata vs. Vertica and other solutions. Updated: September 2020.
437,827 professionals have used our research since 2012.
Teradata is ranked 6th in Relational Databases with 3 reviews while Vertica is ranked 3rd in Data Warehouse with 6 reviews. Teradata is rated 8.0, while Vertica is rated 9.0. The top reviewer of Teradata writes "It is stable but it should be more cloud-friendly and scalability is poor". On the other hand, the top reviewer of Vertica writes "Superior performance in speed and resilience makes this a very good warehousing solution". Teradata is most compared with SQL Server, Oracle Exadata, Snowflake, Amazon Redshift and VMware Tanzu Greenplum, whereas Vertica is most compared with Snowflake, Apache Hadoop, Amazon Redshift, SQL Server and VMware Tanzu Greenplum. See our Teradata vs. Vertica report.

See our list of best Relational Databases vendors, best Data Warehouse vendors, and best Cloud Data Warehouse vendors.

We monitor all Relational Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.