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Infobright DB vs VMware Tanzu Data Solutions comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 18, 2024
 

Categories and Ranking

Infobright DB
Ranking in Relational Databases Tools
33rd
Ranking in Data Warehouse
26th
Average Rating
7.6
Reviews Sentiment
6.4
Number of Reviews
10
Ranking in other categories
No ranking in other categories
VMware Tanzu Data Solutions
Ranking in Relational Databases Tools
9th
Ranking in Data Warehouse
7th
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
82
Ranking in other categories
Database Development and Management (7th), Message Queue (MQ) Software (5th)
 

Mindshare comparison

As of December 2024, in the Data Warehouse category, the mindshare of Infobright DB is 0.4%, up from 0.1% compared to the previous year. The mindshare of VMware Tanzu Data Solutions is 4.9%, up from 4.7% 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.
Derrick Brockel - PeerSpot reviewer
The product improves site reliability, but it is not stable, and the initial deployment was a little difficult
When we had outages, we had timeouts. Sometimes, the nodes would drop out of a cluster. Therefore, the applications would get timeouts. There is a newer version out that we're planning to upgrade to for some stability. It could also be caused by our design. The product must improve its reliability. It'd be nice if nodes could drop out and notify each other in a timely manner so that the applications wouldn't know if there was a problem.

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"
"Very fast for query processing."
"It works very well with large database queries."
"The solution improved our site reliability."
"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 loading speed is very good."
"Reliability for the messages is key. RabbitMQ ensures your messages are safe. They are not deleted and stuff."
"Helps us to achieve large-scale analytics."
"It can be configured to be a very fast message broker. I like the stability, the built-in admin tools and plugin architecture."
 

Cons

"Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk."
"They need to enhance integration with other Big Data products... to integrate with Big Data platforms, and to open a bi-directional connection between Greenplum and Big Data."
"I’d like this dashboard to use web sockets, so it would actually be in real time. It would slightly increase debugging, etc."
"Maintenance is time-consuming."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"The installation is difficult and should be made easier."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
 

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."
"Pricing is good compared to other products. It's fine."
"It’s an open-source solution."
"The pricing is okay."
"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."
"On a scale of one to five, with five being the most competitive pricing, I would rate this solution as a four."
"It is an open-source platform. Although, we have to pay for additional features."
"We are using the open-source version of this solution."
"It is the best product with best fit for price/performance customer objectives."
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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
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: November 2024.
824,053 professionals have used our research since 2012.