Compare VMware Tanzu Greenplum vs. Vertica

Cancel
You must select at least 2 products to compare!
Vertica Logo
11,227 views|7,116 comparisons
VMware Tanzu Greenplum Logo
7,444 views|5,044 comparisons
Most Helpful Review
Teddy Elias
Use VMware Tanzu Greenplum? Share your opinion.
Find out what your peers are saying about VMware Tanzu Greenplum vs. Vertica and other solutions. Updated: July 2021.
524,194 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
"The performance is very good and the aggregate records are fast.""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.""For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments.""Speed and resiliency are probably the best parts of this product.""It has improved my organization's functionality and performance.""The solution has great capabilities. The tool that instructs the internal database forward is easy to use and is very powerful.""I have found the solution to be scalable."

More Vertica Pros »

"Scalability is simple because it's an MPP database. If you need more processing power or you need more storage, you just add a few more nodes in the cluster. It works on common commodity hardware. You can use any type of server. You don't need to have proprietary hardware. It's fairly flexible.""The most valuable feature for us is horizontal scaling.""Pivotal Greenplum's shared-nothing architecture.""The parallel load features mean that Greenplum is capable of high-volume data loading in parallel to all of the cluster segments, which is really valuable.""It's super easy to deploy and it also supports different languages and analytics."

More VMware Tanzu Greenplum Pros »

Cons
"When it is about to reach the maximum storage capacity, it becomes slow.""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.""Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint.""The geospatial functionality could be designed better.""We are looking for a cheaper deployment for the solution. Although we did a lot of benchmarks, like Redshift. We tried Redshift, it didn't work. It didn't work out for us as well.""They could improve on customer service.""I have found that coding support could be simplified."

More Vertica Cons »

"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc.""I saw some limitation with respect to the column store, and removing this would be an improvement.""Initial setup is a little complex. It took around two weeks to deploy.""The initial setup is somewhat complex and the out-of-the-box configuration requires optimization.""They should add more analytics. Their documentation could also be improved so that I don't have to bother my co-workers and tech support so often."

More VMware Tanzu Greenplum Cons »

Pricing and Cost Advice
"From a cost perspective, the software is less than most of its competitors.""It's difficult today to compete with open-source solutions. In these areas, there is a lot of competition and the price of this solution is a bit pricy.""The price could be cheaper and it is best to negotiate the price.""The price is reasonable. We use a pay per license model. Firstly, you need to buy a license. After that, you mainly pay the annual support fee of around 20% or 25%. I think their prices are quite reasonable."

More Vertica Pricing and Cost Advice »

"We are using the open-source version of this solution."

More VMware Tanzu Greenplum Pricing and Cost Advice »

report
Use our free recommendation engine to learn which Data Warehouse solutions are best for your needs.
524,194 professionals have used our research since 2012.
Questions from the Community
Top Answer: I have found the solution to be scalable.
Top Answer: The price could be cheaper and it is best to negotiate the price.
Top Answer: I have found that coding support could be simplified.
Top Answer: It's super easy to deploy and it also supports different languages and analytics.
Top Answer: As of now, I honestly don't see any room for improvement. I am very happy with this solution, It's helped me a lot. They should add more analytics. Their documentation could also be improved so that I… more »
Top Answer: Greenplum is a distributed database that we used for data warehousing.
Ranking
3rd
out of 30 in Data Warehouse
Views
11,227
Comparisons
7,116
Reviews
6
Average Words per Review
506
Rating
9.5
9th
out of 30 in Data Warehouse
Views
7,444
Comparisons
5,044
Reviews
6
Average Words per Review
365
Rating
8.0
Popular Comparisons
Also Known As
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
Greenplum, Pivotal Greenplum
Learn More
Overview

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.

Parallel Postgres for enterprise analytics at scale
With improved transaction processing capability and support for streaming ingest, Greenplum can address workloads across a spectrum of analytic and operational contexts, from traditional business intelligence to deep learning.

Offer
Learn more about Vertica
Learn more about VMware Tanzu Greenplum
Sample Customers
Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
General Electric, Conversant, China CITIC Bank, Aridhia, Purdue University
Top Industries
REVIEWERS
Computer Software Company22%
Media Company19%
Marketing Services Firm16%
Comms Service Provider13%
VISITORS READING REVIEWS
Computer Software Company32%
Comms Service Provider18%
Financial Services Firm7%
Media Company6%
REVIEWERS
Financial Services Firm53%
Comms Service Provider16%
Marketing Services Firm16%
Pharma/Biotech Company5%
VISITORS READING REVIEWS
Computer Software Company34%
Comms Service Provider18%
Financial Services Firm10%
Manufacturing Company6%
Company Size
REVIEWERS
Small Business31%
Midsize Enterprise24%
Large Enterprise45%
REVIEWERS
Small Business21%
Midsize Enterprise17%
Large Enterprise62%
Find out what your peers are saying about VMware Tanzu Greenplum vs. Vertica and other solutions. Updated: July 2021.
524,194 professionals have used our research since 2012.

Vertica is ranked 3rd in Data Warehouse with 8 reviews while VMware Tanzu Greenplum is ranked 9th in Data Warehouse with 5 reviews. Vertica is rated 9.6, while VMware Tanzu Greenplum is rated 8.0. The top reviewer of Vertica writes "Superior performance in speed and resilience makes this a very good warehousing solution". On the other hand, the top reviewer of VMware Tanzu Greenplum writes "Powerful external data integration and parallel load capabilities, with good technical support". Vertica is most compared with Snowflake, Amazon Redshift, Teradata, SQL Server and Cloudera Distribution for Hadoop, whereas VMware Tanzu Greenplum is most compared with Snowflake, Apache Hadoop, Amazon Redshift, Oracle Exadata and Oracle Database Appliance. See our VMware Tanzu Greenplum vs. Vertica report.

See our list of best Data Warehouse vendors.

We monitor all Data Warehouse 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.