We performed a comparison between AWS Data Pipeline [EOL] and Confluent based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It is a stable solution...It is a scalable solution."
"The most valuable feature of the solution is that orchestration and development capabilities are easier with the tool."
"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."
"The most valuable is its capability to enhance the documentation process, particularly when creating software documentation."
"The monitoring module is impressive."
"One of the best features of Confluent is that it's very easy to search and have a live status with Jira."
"The solution can handle a high volume of data because it works and scales well."
"It is also good for knowledge base management."
"Implementing Confluent's schema registry has significantly enhanced our organization's data quality assurance."
"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."
"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."
"Confluent's price needs improvement."
"In Confluent, there could be a few more VPN options."
"They should remove Zookeeper because of security issues."
"Confluence could improve the server version of the solution. However, most companies are going to the cloud."
"It could have more integration with different platforms."
"Confluent has a good monitoring tool, but it's not customizable."
"It could be improved by including a feature that automatically creates a new topic and puts failed messages."
"Areas for improvement include implementing multi-storage support to differentiate between database stores based on data age and optimizing storage costs."
AWS Data Pipeline [EOL] doesn't meet the minimum requirements to be ranked in Cloud Data Integration with 2 reviews while Confluent is ranked 4th in Streaming Analytics with 19 reviews. AWS Data Pipeline [EOL] is rated 8.0, while Confluent is rated 8.4. The top reviewer of AWS Data Pipeline [EOL] writes "A tool with great orchestration and development capabilities but needs to improve its user-defined functions". On the other hand, the top reviewer of Confluent writes "Has good technical support services and a valuable feature for real-time data streaming ". AWS Data Pipeline [EOL] is most compared with AWS Database Migration Service, AWS Glue, Oracle Data Integrator (ODI), FME and Perspectium DataSync, whereas Confluent is most compared with Amazon MSK, Amazon Kinesis, Databricks, AWS Glue and Oracle GoldenGate. See our AWS Data Pipeline [EOL] vs. Confluent report.
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