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Amazon SQS vs VMware Tanzu Data Solutions comparison

 

Comparison Buyer's Guide

Executive Summary

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

Amazon SQS
Ranking in Message Queue (MQ) Software
3rd
Average Rating
8.6
Reviews Sentiment
7.4
Number of Reviews
29
Ranking in other categories
No ranking in other categories
VMware Tanzu Data Solutions
Ranking in Message Queue (MQ) Software
5th
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
82
Ranking in other categories
Database Development and Management (7th), Relational Databases Tools (9th), Data Warehouse (8th)
 

Featured Reviews

Ariel Tarayants - PeerSpot reviewer
Powerful queue system facilitates seamless asynchronous operations
A feature I would like to see in Amazon SQS is the ability to view the content of messages without removing them from the queue. Enhanced filtering on the messages would be beneficial, as currently one has to pull all messages out, filter the right one by code, and then re-insert the remaining messages. This solution is not effective with the FIFO queue.
Jayanta Datta - PeerSpot reviewer
Very efficient at large scale analytics; lacks inbuilt machine-learning functions for complex use cases
I think the cloud version of VMware is still lacking significantly because we are using Snowflake or Redshift on the cloud. We have a lot of on-prem use cases and Greenplum is good for that but we also have a lot of cloud use cases and the solution is lacking in that sphere. A cloud-native version of Greenplum would simplify things by enabling the move from Greenplum to Greenplum. It would be helpful if they could include some inbuilt machine-learning functions for complex use cases. I'd also like to see some kind of integrated dashboarding within the product for visualization. For example, Power BI integration or Tableau integration so that we could create a quick dashboard without getting Power BI onboarded.

Quotes from Members

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

Pros

"I think the tool is very reliable."
"I am able to find out what's going on very easily."
"The solution is easy to scale and cost-effective."
"The dead-letter queue is very helpful in maintaining the messages that come into the queue."
"We used SQS for the Kapolei system to ensure that certain tasks were executed precisely once. The first-in, first-out (FIFO) capability was a great feature for us. Additionally, its redundancy out of the box meant we didn't have to worry about missing messages. It provided peace of mind and automatically instilled trust, relieving us of any concerns."
"It is stable and scalable."
"We use Amazon SQS for notifying, queuing servers, queuing messages, and notifying the people for alerting systems."
"SQS is very stable, and it has lots of features."
"We have been able to set up a messaging system that facilitates data integration between the software modules that we sell."
"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."
"The message routing is the most valuable feature. It is effective and flexible."
"The solution improved our site reliability."
"Very fast for query processing."
"The solution can scale."
"The most valuable feature is that it's really customizable."
"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."
 

Cons

"There is room for improvement by making use of Kafka services to create more flexible data streams."
"There could be improvements in the UI for security and scalability."
"For Amazon SQS, in particular, I think AWS Management Console has shortcomings. AWS Management Console should be a better pluggable option to help users with some integrations."
"I do not think that this solution is easy to use and the documentation of this solution has a lot of problems and can be improved in the next release. Most of the time, the images in the document are from older versions."
"The current visibility timeout of five minutes is okay. However, I'd like to explore the possibility of extending it for specific use cases."
"I cannot send a message to multiple people simultaneously. It can only be sent to one recipient."
"There is room for improvement in handling large-scale data."
"It would be beneficial to have the ability to peek at messages currently in Amazon SQS without needing to monitor incoming messages."
"I would like to see the performance of the administration portal improved and additional messaging protocols."
"One of the disadvantages, not a disadvantage with the product itself, but overall, is the expertise in the marketplace. It's not easy to find a Greenplum administrator in the market, compared to other products such as Oracle."
"Extra filters would be helpful."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"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."
"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."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"Tanzu Greenplum's compression for GPText could be made more efficient."
 

Pricing and Cost Advice

"Amazon SQS is quite expensive and is at the highest price point compared to other solutions."
"Amazon SQS is moderately priced."
"Amazon SQS is more affordable compared to other solutions."
"I rate the tool's pricing a nine out of ten."
"The pricing of Amazon SQS is reasonable. The first million requests are free every month, and after, it's cost 40 cents for every million requests. There are not any additional fees."
"SQS's pricing is very good - I would rate it nine out of ten."
"Compared to the other options and based on what I have heard, Amazon SQS is relatively more expensive, but it is not insanely expensive."
"Amazon SQS offers a generous free tier, beyond which it remains very cost-effective. The cost per million messages is less than a dollar, making it an economical choice."
"Pricing is good compared to other products. It's fine."
"On a scale of one to five, with five being the most competitive pricing, I would rate this solution as a four."
"It’s an open-source solution."
"Since the tool is an open-source product, there is no need to pay anything."
"are using the open-source version, which can be used free of cost."
"The price is pretty good."
"This is an open source solution."
"It is an open-source product."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
16%
Manufacturing Company
10%
Comms Service Provider
6%
Financial Services Firm
29%
Computer Software Company
15%
Manufacturing Company
7%
Healthcare Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What needs improvement with Amazon SQS?
A primary area of improvement for Amazon SQS is the message size limitation, which is currently restricted to 256 kilobytes per message. If this could be increased, it would benefit many use cases....
What is your primary use case for Amazon SQS?
I have been heavily using Amazon SQS for the last more than four years in serverless and decoupled solutions. We use it in workflows like order creation, where the order creation task is queued, al...
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

No data available
Greenplum, Pivotal Greenplum, VMware RabbitMQ, VMware Tanzu GemFire, VMware Postgres
 

Overview

 

Sample Customers

EMS, NASA, BMW, Capital One
General Electric, Conversant, China CITIC Bank, Aridhia, Purdue University
Find out what your peers are saying about Amazon SQS vs. VMware Tanzu Data Solutions and other solutions. Updated: January 2025.
831,158 professionals have used our research since 2012.