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VMware Tanzu Data Solutions vs Vertica comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Vertica
Ranking in Data Warehouse
4th
Average Rating
8.2
Number of Reviews
86
Ranking in other categories
Cloud Data Warehouse (6th)
VMware Tanzu Data Solutions
Ranking in Data Warehouse
7th
Average Rating
8.0
Number of Reviews
82
Ranking in other categories
Database Development and Management (7th), Relational Databases Tools (9th), Message Queue (MQ) Software (4th)
 

Mindshare comparison

As of September 2024, in the Data Warehouse category, the mindshare of Vertica is 9.3%, up from 9.2% compared to the previous year. The mindshare of VMware Tanzu Data Solutions is 5.4%, up from 4.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse
 

Featured Reviews

SR
Mar 20, 2023
Reliable and feature-rich, with optimization techniques to fine-tune queries for faster report generation
In my opinion, Vertica's documentation could be improved. Currently, there is not enough documentation available to gain a comprehensive understanding of the platform. Additionally, the community support for Vertica is limited, making it difficult to find assistance or resources when needed. When it comes to data sharing or desktop usage, Snowflake has an advantage over Vertica and other platforms such as cash. Snowflake provides reporting capabilities to share data between two different accounts, which is not currently available in Vertica. This feature is particularly helpful when sharing data with third-party vendors or clients. However, Vertica does not provide such capabilities, and it is not possible to set up data sharing between two different accounts with just a few clicks, as it is possible in Snowflake.
VB
Mar 9, 2023
Great queues and publishing capabilities with good reliability
We use the solution for event-driven programming. We have multiple queues and channels to provide scenarios for publishing into containers. You have to communicate the microservices, and consumers consume the services.  We were using the solution to setting the tenant settings into the service.…

Quotes from Members

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

Pros

"Bulk loads, batch loads, and micro-batch loads have made it possible for our organization to process near real-time ingestions and faster analytics."
"Its analytics has enabled Pythian's clients to get the business insights as quick as they wanted. Its lower maintenance has also improved the ROI."
"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."
"It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands."
"We are able to integrate our Vertica data warehouse with Tableau to create numerous reports quickly and efficiently."
"The performance is very good and the aggregate records are fast."
"The solution is quick, has good compression data, and is not expensive."
"Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data."
"The product's reliability is the most valuable feature."
"It's super easy to deploy and it also supports different languages and analytics."
"The product has been stable and I have never faced any kind of problems with it."
"The loading speed is very good."
"The most valuable feature is asynchronous calls, which are easy to configure."
"Scalable (Massive) Parallel Processing (MPP) – The ability to bring to bear large amounts of compute against large data sets with Greenplum and the EMC DCA has proven itself to be very effective."
"It is easy to use. The addition of more queues and more services can be managed very easily."
"The solution's best feature is its exceptional speed, delivering efficient utilization of resources."
 

Cons

"Performance of management of metadata layer (database catalog) needs improvement. We still have to have smaller customers on PostgreSQL; Vertica cannot manage thousands of schemata."
"Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint."
"In our company, we have faced difficulties in scaling the solution for certain use cases."
"It should provide a GUI interface for data management and tuning."
"We faced some challenges when trying to use the temporary tables feature."
"The integration with AI has room for improvement."
"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."
"It would be great if this were a managed service in AWS."
"Other tools besides RabbitMQ provide good TPS and HA."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"The availability could be better."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"The installation is difficult and should be made easier."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"VMware Tanzu Greenplum needs improvement in the memory area and improved methods for quick access to the disc. So, one of the quick goals of Greenplum must work on enhancing access to the disc by adding hints in the database."
"The product needs to focus on offering more use case documentation because browsing the internet to find it can be a process filled with struggles."
 

Pricing and Cost Advice

"The pricing depends on the license model because there are several. It depends on the client, but it's cheaper than other solutions. I think it's cheap for all the functionality and robustness. It's not very expensive to deploy."
"It's an expensive product"
"The solution is relatively cost-effective."
"From a cost perspective, the software is less than most of its competitors."
"The price could be cheaper and it is best to negotiate the price."
"Start with license per 1TB. Starting from hundreds of TB there is unlimited licensing to be considered. Move historical data to HDFS/S3 which are significantly cheaper or even free."
"Vertica is an expensive tool."
"It is fast to purchase through the AWS Marketplace."
"The pricing for RabbitMQ is reasonable. It is worth the cost."
"The product is available for free use since it is an open-source technology."
"It is an open-source platform. Although, we have to pay for additional features."
"It is the best product with best fit for price/performance customer objectives."
"This is an open source solution."
"The solution's pricing is cost-effective as it does not involve significant expenses. Licensing is required only for the server, while clients do not need any licensing. Therefore, it proves to be a cost-efficient option."
"The pricing is okay."
"Tanzu Greenplum's pricing is really competitive and gives excellent value for money."
report
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
17%
Manufacturing Company
8%
University
5%
Financial Services Firm
29%
Computer Software Company
16%
Manufacturing Company
7%
Healthcare Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Vertica?
Vertica is easy to use and provides really high performance, stability, and scalability.
What is your experience regarding pricing and costs for Vertica?
I rate the product’s pricing a seven out of ten, where one is cheap and ten is expensive.
What needs improvement with Vertica?
Pricing could be more competitive.
How does IBM MQ compare with VMware RabbitMQ?
IBM MQ has a great reputation behind it, and this solution is very robust with great stability. It is easy to use, simple to configure and integrates well with our enterprise ecosystem and protocol...
What is your experience regarding pricing and costs for VMware Tanzu Greenplum?
It’s an open-source solution. There are no expenses for using it.
 

Also Known As

Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
Greenplum, Pivotal Greenplum, VMware RabbitMQ, VMware Tanzu GemFire, VMware Postgres
 

Learn More

 

Overview

 

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
Find out what your peers are saying about VMware Tanzu Data Solutions vs. Vertica and other solutions. Updated: September 2024.
800,688 professionals have used our research since 2012.