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Infobright DB vs VMware Tanzu Data Solutions comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 18, 2024

Review summaries and opinions

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

Categories and Ranking

Infobright DB
Ranking in Relational Databases Tools
37th
Ranking in Data Warehouse
27th
Average Rating
7.6
Reviews Sentiment
6.3
Number of Reviews
10
Ranking in other categories
No ranking in other categories
VMware Tanzu Data Solutions
Ranking in Relational Databases Tools
11th
Ranking in Data Warehouse
9th
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
83
Ranking in other categories
Database Development and Management (7th), Message Queue (MQ) Software (5th)
 

Mindshare comparison

As of April 2025, in the Data Warehouse category, the mindshare of Infobright DB is 0.5%, up from 0.1% compared to the previous year. The mindshare of VMware Tanzu Data Solutions is 4.1%, down from 5.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse
 

Featured Reviews

SD
If you need a real big data solution, look for a distributed solution that actually has a proven track record.
This version of Infobright has zero support for distributed scalability. The internal smart grid employed for each table has a major flaw in that the data size cannot be expunged until 2GB of data is reached at the column-level. This is a major flaw, making usage in a big-data scenario impossible. This means that you can delete as many records from a database table as you want. However, unless the 2GB aggregate size threshold was reached for some of the columns in the table, no reduction in disk space usage will occur. Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk. I spent countless hours trying to find some workaround for this. I have nightmares of my e-mail inbox full of unsolvable questions about data size reduction from our field engineers.
Sushma Polavarapu - PeerSpot reviewer
Create essential reporting scripts with simplicity but has some operational challenges
We mainly create functions and scripts required for reporting The product is not complex; I do not have to create stored procedures, functions, or views. It's just simple to use. There is general room for improvement. I have been using it for five years. I have faced stability issues, mainly…

Quotes from Members

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

Pros

"It has very amazing smart grid query feature for very fast aggregate queries across millions of rows"
"Large amounts of data can be moved pretty fast using the solution."
"The solution's best feature is its exceptional speed, delivering efficient utilization of resources."
"We use VMware RabbitMQ to transfer information from one point to another."
"The most valuable feature is that it's really customizable."
"The security is great."
"Companies can scale the solution, so long as they have server room."
"It is easy to use. The addition of more queues and more services can be managed very easily."
"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."
 

Cons

"Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk."
"Implementing a circuit breaker scenario using RabbitMQ is complicated. This complexity arises because manual intervention is required to manage worker details and handle operations based on worker IP addresses."
"I’d like this dashboard to use web sockets, so it would actually be in real time. It would slightly increase debugging, etc."
"The product is pretty hard to configure."
"The debugging capabilities and testing flexibilities need to be improved."
"This solution struggled with multi-regional synchronization."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"The availability could be better."
"The installation is difficult and should be made easier."
 

Pricing and Cost Advice

"Our pricing was based on server instances and it was actually very cheap compared to Oracle. I guess you get what you pay for."
"On a scale of one to five, with five being the most competitive pricing, I would rate this solution as a four."
"The pricing for RabbitMQ is reasonable. It is worth the cost."
"The pricing is okay."
"It’s an open-source solution."
"are using the open-source version, which can be used free of cost."
"The product is available for free use since it is an open-source technology."
"Pricing is good compared to other products. It's fine."
"We are using the open-source version of this solution."
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847,772 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Financial Services Firm
28%
Computer Software Company
16%
Manufacturing Company
6%
Healthcare Company
4%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

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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

Infobright
Greenplum, Pivotal Greenplum, VMware RabbitMQ, VMware Tanzu GemFire, VMware Postgres
 

Overview

 

Sample Customers

REZ-1, SonicWALL, IntegriChain, Fuseforward International Inc., Polystar, Live Rail, Mavenir Systems, JDSU Partners, Bango
General Electric, Conversant, China CITIC Bank, Aridhia, Purdue University
Find out what your peers are saying about Infobright DB vs. VMware Tanzu Data Solutions and other solutions. Updated: April 2025.
847,772 professionals have used our research since 2012.