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CloudAMQP vs Informatica Data Quality comparison

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

CloudAMQP
Average Rating
9.4
Number of Reviews
3
Ranking in other categories
AWS Marketplace (67th)
Informatica Data Quality
Average Rating
8.6
Number of Reviews
2
Ranking in other categories
Google Cloud Marketplace (1st)
 

Featured Reviews

HemantKumar7 - PeerSpot reviewer
Senior Site Reliability Engineer at a tech vendor with 501-1,000 employees
Reliable queues have handled heavy microservice traffic and prevent data loss in daily operations
The best features CloudAMQP offers include its ability to handle load efficiently. Without it, if there is a lack of requests coming from multiple consumers, it stores the data in the queue, and the lag will clear after consumption from the consumer side, ensuring no messages drop from CloudAMQP. Additionally, it can run tasks in the background so that it does not block any user requests. CloudAMQP is able to handle the load, and if I want to scale, I can scale the RabbitMQ nodes without any downtime. CloudAMQP has impacted our organization positively because it can handle a huge amount of data. I can have multiple RabbitMQ queues inside CloudAMQP and, as per my plan, purchase multiple queues that offer different capabilities. For example, the Tough Tiger plan allows sending a maximum of ten million messages per month with simultaneous connections of one hundred connections per queue, ensuring no traffic loss. For heavy environments, I can opt for Big Bunny queues, where I can handle one lakh messages per second if there is a huge amount of traffic. Additionally, I have a dedicated RabbitMQ broker as per my requirement, and according to my needs in CloudAMQP, there are different queue plans which I can select accordingly.
Hemanthreddy Vakiti - PeerSpot reviewer
Data engineer at a tech vendor with 10,001+ employees
Data quality checks have reduced manual monitoring but still face cost and performance issues
Some of the best features Informatica Data Quality offers include AI automation using CLAIRE, which integrates AI with Informatica Data Quality, and its user-friendly drag-and-drop interface. All of this is simply usable to any person who has minimal knowledge of ETL. Rather than querying every table to check for any duplicate entries or null values, it is impossible to query for each site. Once we integrate it with Informatica Data Quality and use the drag-and-drop function to specify the conditions we need and connect to the databases, it directly checks if the values are within the threshold or if we can set conditions, such as not entering records with null values. It also features a match and merge condition, from which data profiling and data cleansing can be done.

Quotes from Members

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

Pros

"After using CloudAMQP, our efficiency has increased, and the data which is transferring from the fuel station has become easier and faster to communicate with our front-end application."
"Since using CloudAMQP, my organization has seen a very significant return on investment because there is no data loss, and I can recover the system timely."
"CloudAMQP has positively impacted my organization as I have built an automation for scaling, which has helped the organization benefit from workload distribution and faster processes."
"Since we integrated Informatica Data Quality in our project, the amount of human interaction has reduced, so the team has decreased, resulting in cost savings for our project and improved time by automating checks for missing or null values."
"About Informatica Data Quality, I do not think that I have any questions because the product is very good."
 

Cons

"CloudAMQP can be improved in a few ways, such as lowering the pricing at scale and keeping the pricing structure simpler."
"CloudAMQP can be improved as the pricing is a bit high, and if that could be reduced, it would be a great tool."
"CloudAMQP can be improved, as sometimes while upgrading, for instance, if I am running a Big Bunny cluster and want to upgrade to Happy Hour, there is a lag or slowness while upgrading from one queue to another."
"The scalability is not up to mark in my view because even a small increase in data, like the number of rows, can cause the server to crash, requiring a reboot."
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Top Industries

By visitors reading reviews
Construction Company
55%
Comms Service Provider
8%
Transportation Company
5%
Outsourcing Company
5%
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Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
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Questions from the Community

What needs improvement with CloudAMQP?
CloudAMQP can be improved, as sometimes while upgrading, for instance, if I am running a Big Bunny cluster and want to upgrade to Happy Hour, there is a lag or slowness while upgrading from one que...
What is your primary use case for CloudAMQP?
Our main use case for CloudAMQP is that we are using it for RabbitMQ operations as a message broker, with CloudAMQP managing RabbitMQ. Apart from that, we use it for microservice communication. In ...
What advice do you have for others considering CloudAMQP?
My advice for others looking into using CloudAMQP is that if you are choosing any message broker, you can go directly to CloudAMQP. However, before making a choice, at least check their plans accor...
What is your experience regarding pricing and costs for Informatica Data Quality?
I have been informed by our management team that the pricing is high, but I am not sure about the specific figures regarding what the pricing is.
What needs improvement with Informatica Data Quality?
One thing is that, compared to the features provided by Informatica Data Quality, when compared to other tools offering similar features, it is somewhat costly. The scalability is not up to mark co...
What is your primary use case for Informatica Data Quality?
We are using Informatica PowerCenter for ETL, and simultaneously we are using Informatica Data Quality for data profiling, validation, to remove duplicate entries, and for data cleansing. Ours is a...
 

Comparisons

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Overview