Try our new research platform with insights from 80,000+ expert users

Infobright DB vs VMware Tanzu Data Solutions comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Infobright DB
Ranking in Relational Databases Tools
33rd
Ranking in Data Warehouse
27th
Average Rating
7.6
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
7.4
Number of Reviews
82
Ranking in other categories
Database Development and Management (7th), Message Queue (MQ) Software (5th)
 

Mindshare comparison

As of November 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 5.1%, 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"
"The product's feature of data transaction works fast."
"The product's reliability is the most valuable feature."
"The solution's best feature is its exceptional speed, delivering efficient utilization of resources."
"Large amounts of data can be moved pretty fast using the solution."
"It's one of the fastest databases in the market. It's easy to use. From a maintenance perspective it's a good product. The segmentation, or architecture of the product is different than other databases such as Oracle. So even in 10 years, the data distribution for such segments will not affect other segments. The query performance of the product, for complex queries, is very good. It has good integration with Hadoop."
"The solution can scale."
"Very sophisticated routing control and priority messaging capabilities"
"It works very well with large database queries."
 

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."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"The product is pretty hard to configure."
"The user interface could be improved."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"The availability could be better."
"Their implementation is quite tricky. It's not that easy to implement RabbitMQ as a cluster."
"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."
"It is an open-source product."
"It is the best product with best fit for price/performance customer objectives."
"are using the open-source version, which can be used free of cost."
"The pricing for RabbitMQ is reasonable. It is worth the cost."
"It’s an open-source solution."
"It is an open-source platform. Although, we have to pay for additional features."
"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."
report
Use our free recommendation engine to learn which Data Warehouse solutions are best for your needs.
816,406 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
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

Ask a question
Earn 20 points
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.
816,406 professionals have used our research since 2012.