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

AWS Data Pipeline [EOL] vs Confluent 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

AWS Data Pipeline [EOL]
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Confluent
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
23
Ranking in other categories
Streaming Analytics (4th)
 

Featured Reviews

Geoffrey Leigh - PeerSpot reviewer
A stable, scalable, and reliable solution for moving and processing data
We're only considering enhancing the presentation layer to give a more multidimensional OLAP view that AWS seems to have decided on. Redshift with the data mart structure is like an OLAP cube. Oracle Analytics Cloud is an over-code killer and is not what we need. I was looking at Mondrian, which used to be part of the open-source stack from another vendor that works. Still, I am also looking at some of the other OLAP environments like Kaiser and perhaps decided to go to Azure with Microsoft Azure analysis cloud, but that's not multidimensional either as SSAS used to be. We tried the Mondrian, and that didn't perform how we expected. So, we are looking at resetting something to perform as an OLAP in the cloud, particularly AWS, so that we might consider an Azure solution.
Gustavo-Barbosa Dos Santos - PeerSpot reviewer
Has good technical support services and a valuable feature for real-time data streaming
Implementing Confluent's schema registry has significantly enhanced our organization's data quality assurance. It helps us understand the various requirements of multiple customers and validates the information for different versions. We can automate the tasks using Confluent Kafka. Thus, it guarantees us the data quality and maintains the integrity of message contracts.

Quotes from Members

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

Pros

"The most valuable feature of the solution is that orchestration and development capabilities are easier with the tool."
"It is a stable solution...It is a scalable solution."
"Implementing Confluent's schema registry has significantly enhanced our organization's data quality assurance."
"Confluent facilitates the messaging tasks with Kafka, streamlining our processes effectively."
"It is also good for knowledge base management."
"One of the best features of Confluent is that it's very easy to search and have a live status with Jira."
"Our main goal is to validate whether we can build a scalable and cost-efficient way to replicate data from these various sources."
"I find Confluent's Kafka Connectors and Kafka Streams invaluable for my use cases because they simplify real-time data processing and ETL tasks by providing reliable, pre-packaged connectors and tools."
"We ensure seamless management of Kafka through Confluent, allowing all of our Kafka activities to be handled by a third party."
"With Confluent Cloud we no longer need to handle the infrastructure and the plumbing, which is a concern for Confluent. The other advantage is that all portfolios have access to the data that is being shared."
 

Cons

"It's almost semi-automatic because you must review and approve code push, which works well. Still, we had many problems getting there during the deployment process, but we got there."
"The user-defined functions have shortcomings in AWS Data Pipeline."
"There is no local support team in Saudi Arabia."
"They should remove Zookeeper because of security issues."
"It could be more user-friendly and centralized. A way to reduce redundancy would be helpful."
"Confluence could improve the server version of the solution. However, most companies are going to the cloud."
"The formatting aspect within the page can be improved and more powerful."
"Confluent has a good monitoring tool, but it's not customizable."
"Areas for improvement include implementing multi-storage support to differentiate between database stores based on data age and optimizing storage costs."
"I am not very impressed by Confluent. We continuously face issues, such as Kafka being down and slow responses from the support team."
 

Pricing and Cost Advice

"The way we use it, I think it is fair as we're getting a good value for money compared to having a server or some other data pipeline."
"I rate the pricing between six to eight on a scale from one to ten, where one is low price, and ten is high price."
"It comes with a high cost."
"Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance."
"The pricing model of Confluent could improve because if you have a classic use case where you're going to use all the features there is no plan to reduce the features. You should be able to pick and choose basic services at a reduced price. The pricing was high for our needs. We should not have to pay for features we do not use."
"Confluent has a yearly license, which is a bit high because it's on a per-user basis."
"You have to pay additional for one or two features."
"The solution is cheaper than other products."
"Confluent is an expensive solution as we went for a three contract and it was very costly for us."
"Regarding pricing, I think Confluent is a premium product, but it's hard for me to say definitively if it's overly expensive. We're still trying to understand if the features and reduced maintenance complexity justify the cost, especially as we scale our platform use."
report
Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.
860,825 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
26%
Financial Services Firm
20%
Educational Organization
8%
Government
6%
Financial Services Firm
18%
Computer Software Company
16%
Manufacturing Company
6%
Insurance Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about AWS Data Pipeline?
The most valuable feature of the solution is that orchestration and development capabilities are easier with the tool.
What is your experience regarding pricing and costs for AWS Data Pipeline?
I rate the pricing between six to eight on a scale from one to ten, where one is low price, and ten is high price.
What needs improvement with AWS Data Pipeline?
The user-defined functions have shortcomings in AWS Data Pipeline. The user-defined functions could be one of the areas where I can write a custom function and embed it as a part of AWS Data Pipeli...
What do you like most about Confluent?
I find Confluent's Kafka Connectors and Kafka Streams invaluable for my use cases because they simplify real-time data processing and ETL tasks by providing reliable, pre-packaged connectors and to...
What is your experience regarding pricing and costs for Confluent?
They charge a lot for scaling, which makes it expensive.
What needs improvement with Confluent?
I am not very impressed by Confluent. We continuously face issues, such as Kafka being down and slow responses from the support team. The lack of easy access to the Confluent support team is also a...
 

Comparisons

No data available
 

Overview

 

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
ING, Priceline.com, Nordea, Target, RBC, Tivo, Capital One, Chartboost
Find out what your peers are saying about AWS Data Pipeline [EOL] vs. Confluent and other solutions. Updated: March 2024.
860,825 professionals have used our research since 2012.