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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"
"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."
"Very sophisticated routing control and priority messaging capabilities"
"The solution's best feature is its exceptional speed, delivering efficient utilization of resources."
"It is easy to use. The addition of more queues and more services can be managed very easily."
"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."
"RabbitMQ provides access to SDKs for development and the ability to raise and log tickets if we encounter issues. We can integrate RabbitMQ using various languages like Java or Python using the provided SDKs."
"Pivotal Greenplum's shared-nothing architecture."
"The message routing is the most valuable feature. It is effective and flexible."
 

Cons

"Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk."
"The product is pretty hard to configure."
"They should improve on the ability to scale your queues in a very simple and elegant way with the same power that they have would be great."
"There are some security concerns that have been raised with this product."
"The installation is difficult and should be made easier."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"Scalability issues are present. Most of our functions or jobs are queued due to that."
"The user interface could be improved."
"If messages pile up until the space of the memory is full, then basically, the cluster goes down, and someone has to log in through the backend and purge all messages."
 

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."
"Tanzu Greenplum's pricing is really competitive and gives excellent value for money."
"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."
"On a scale of one to five, with five being the most competitive pricing, I would rate this solution as a four."
"The pricing is okay."
"Since the tool is an open-source product, there is no need to pay anything."
"It is the best product with best fit for price/performance customer objectives."
"It is an open-source platform. Although, we have to pay for additional features."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
28%
Computer Software Company
16%
Manufacturing Company
7%
Healthcare Company
5%
 

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: February 2025.
845,040 professionals have used our research since 2012.