Amazon SQS vs VMware Tanzu Data Services comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Amazon SQS
Ranking in Message Queue (MQ) Software
5th
Average Rating
8.2
Number of Reviews
14
Ranking in other categories
No ranking in other categories
VMware Tanzu Data Services
Ranking in Message Queue (MQ) Software
3rd
Average Rating
8.0
Number of Reviews
81
Ranking in other categories
Database Development and Management (6th), Data Warehouse (5th)
 

Mindshare comparison

As of June 2024, in the Message Queue (MQ) Software category, the mindshare of Amazon SQS is 11.7%, up from 11.2% compared to the previous year. The mindshare of VMware Tanzu Data Services is 5.2%, down from 10.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Message Queue (MQ) Software
Unique Categories:
No other categories found
Database Development and Management
3.6%
Data Warehouse
8.1%
 

Featured Reviews

AC
Jun 1, 2023
Triggers events in various cloud environments and provides integration with AWS KMS
Generally, we use it for asynchronous communication. We have actively utilized it for the past three years. Basically, we use it to exchange events and messages when we need communication and integration in our architecture Amazon SQS has provided us with a better experience, better performance,…
Nasir Niamat - PeerSpot reviewer
Jun 30, 2023
An open-source solution with a good loading speed, but maintenance is time-consuming
We are using the product for analytical purposes like reporting and billing We maintain the servers on our premises. Compared to Snowflake, Greenplum is a cheap solution for analytical purposes. The latest version is better than the older ones. The solution updates very fast. The loading speed…

Quotes from Members

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

Pros

"With SQS, we can trigger events in various cloud environments. It offers numerous benefits for us."
"We use the tool in interface integrations."
"I appreciate that Amazon SQS is fully integrated with Amazon and can be accessed through normal functions or serverless functions, making it very user-friendly. Additionally, the features are comparable to those of other solutions."
"The libraries that connect and manage the queues are rich in features."
"SQS is very stable, and it has lots of features."
"It's very quick and easy to build or set up Amazon SQS."
"There is no setup just some easy configuration required."
"I am able to find out what's going on very easily."
"It can be configured to be a very fast message broker. I like the stability, the built-in admin tools and plugin architecture."
"It's super easy to deploy and it also supports different languages and analytics."
"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."
"With VMware Tanzu Greenplum, one can make a huge database table and analyze the queries by adding in the SQL command. Some hint or command for the query goes over the multi-parallel execution."
"The solution is stable."
"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."
"A very good, open-source platform."
 

Cons

"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."
"Sending or receiving messages takes some time, and it could be quicker."
"Be cautious around pay-as-you-use licensing as costs can become expensive."
"The tool needs improvement in user-friendliness and discoverability."
"There are some issues with SQS's transaction queue regarding knowing if something has been received."
"Sometimes, we have to switch to another component similar to SQS because the patching tool for SQS is relatively slow for us."
"As a company that uses IBM solutions, it's difficult to compare Amazon SQS to other solutions. We have been using IBM solutions for a long time and they are very mature in integration and queuing. In my role as an integration manager, I can say that Amazon SQS is designed primarily for use within the Amazon ecosystem and does not have the same level of functionality as IBM MQ or other similar products. It has limited connectivity options and does not easily integrate with legacy systems."
"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."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"There are some security concerns that have been raised with this product."
"Their implementation is quite tricky. It's not that easy to implement RabbitMQ as a cluster."
"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."
 

Pricing and Cost Advice

"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."
"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."
"It's quite expensive."
"SQS's pricing is very good - I would rate it nine out of ten."
"The pricing model is pay-as-you-use. It depends on your usage and configuration."
"This is an open source solution."
"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."
"are using the open-source version, which can be used free of cost."
"Pricing is good compared to other products. It's fine."
"It is the best product with best fit for price/performance customer objectives."
"Tanzu Greenplum's pricing is really competitive and gives excellent value for money."
"The price is pretty good."
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
16%
Manufacturing Company
8%
Comms Service Provider
5%
Financial Services Firm
28%
Computer Software Company
15%
Manufacturing Company
6%
Healthcare Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

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 Services and other solutions. Updated: June 2024.
787,779 professionals have used our research since 2012.