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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
30th
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
Number of Reviews
82
Ranking in other categories
Database Development and Management (7th), Message Queue (MQ) Software (4th)
 

Mindshare comparison

As of September 2024, in the Data Warehouse category, the mindshare of Infobright DB is 0.2%, up from 0.1% 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

SD
Dec 5, 2017
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.
AF
Jun 21, 2023
Uses a memory desk processor very efficiently and performs well while maintaining a low cost
The solution is a fine product. However, to make it perfect, in some cases, there might be a need to traverse the queue. RabbitMQ currently lacks the capability for archiving the queue, which essentially turns it into a log. For such requirements, you may need to explore other options like Kafka or custom drivers that allow traversing the entire queue. In RabbitMQ, while you can traverse the entire queue, you need to devise a workaround to handle the messages. For example, you can read a message from one queue, publish it to another queue or keep it in some other way to retain the desired entries, and then stop at that point. Additionally, the need for support may vary depending on the usage and potential heavy loads on the system. The support feature could benefit from some improvement in terms of accessibility and responsiveness. I don't encounter significant challenges or areas that require improvement while using the solution. Everything works smoothly, and I find it well thought out. It's got excellent compliance with MQP 9.0. Overall, I have had a positive experience with the solution.

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"
"Pivotal Greenplum's shared-nothing architecture."
"I like the high throughput of 20K messages/sec, and that it supports multiple protocols."
"We chose Greenplum because of the architecture in terms of clustering databases and being able to have, or at least utilize the resources that are sitting on a database."
"The most valuable feature for me is that it is open source. The licensing costs are really low and they are transparent."
"Companies can scale the solution, so long as they have server room."
"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."
"The solution's best feature is its exceptional speed, delivering efficient utilization of resources."
"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."
 

Cons

"Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk."
"RabbitMQ is clearly better supported on Linux than it is on Windows. There are idiosyncrasies in the Windows version that are not there on Linux."
"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."
"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."
"The next release should include some of the flexibility and features that Kafka offers."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"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."
"The support feature could benefit from some improvement in terms of accessibility and responsiveness."
"Implementation takes a long time."
 

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."
"We are using the open-source version of this solution."
"The product is available for free use since it is an open-source technology."
"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."
"It’s an open-source solution."
"This is an open source solution."
"It is an open-source platform. Although, we have to pay for additional features."
"The pricing for RabbitMQ is reasonable. It is worth the cost."
"Tanzu Greenplum's pricing is really competitive and gives excellent value for money."
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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
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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: September 2024.
800,688 professionals have used our research since 2012.