We performed a comparison between Confluent and IBM Cloud Pak for Integration 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."The solution can handle a high volume of data because it works and scales well."
"The most valuable feature that we are using is the data replication between the data centers allowing us to configure a disaster recovery or software. However, is it's not mandatory to use and because most of the features that we use are from Apache Kafka, such as end-to-end encryption. Internally, we can develop our own kind of product or service from Apache Kafka."
"The documentation process is fast with the tool."
"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."
"I would rate the scalability of the solution at eight out of ten. We have 20 people who use Confluent in our organization now, and we hope to increase usage in the future."
"We mostly use the solution's message queues and event-driven architecture."
"It is also good for knowledge base management."
"The most valuable feature of Confluent is the wide range of features provided. They're leading the market in this category."
"The most valuable aspect of the Cloud Pak, in general, is the flexibility that you have to use the product."
"Cloud Pak for Integration is definitely scalable. That is the most important criteria."
"The most preferable aspect would be the elimination of the command, which was a significant improvement. In the past, it was a challenge, but now we can proceed smoothly with the implementation of our policies and everything is managed through JCP. It's still among the positive aspects, and it's a valuable feature."
"It is a stable solution."
"Confluent has a good monitoring tool, but it's not customizable."
"Confluent's price needs improvement."
"There is no local support team in Saudi Arabia."
"The pricing model should include the ability to pick features and be charged for them only."
"The Schema Registry service could be improved. I would like a bigger knowledge base of other use cases and more technical forums. It would be good to have more flexible monitoring features added to the next release as well."
"It would help if the knowledge based documents in the support portal could be available for public use as well."
"In Confluent, there could be a few more VPN options."
"It could have more themes. They should also have more reporting-oriented plugins as well. It would be great to have free custom reports that can be dispatched directly from Jira."
"Setting up Cloud Pak for Integration is relatively complex. It's not as easy because it has not yet been fully integrated. You still have some products that are still not containerized, so you still have to run them on a dedicated VM."
"The pricing can be improved."
"The initial setup is not easy."
"Its queuing and messaging features need improvement."
More IBM Cloud Pak for Integration Pricing and Cost Advice →
Confluent is ranked 4th in Streaming Analytics with 19 reviews while IBM Cloud Pak for Integration is ranked 14th in Cloud Data Integration with 4 reviews. Confluent is rated 8.4, while IBM Cloud Pak for Integration is rated 8.6. The top reviewer of Confluent writes "Has good technical support services and a valuable feature for real-time data streaming ". On the other hand, the top reviewer of IBM Cloud Pak for Integration writes "A hybrid integration platform that applies the functionality of closed-loop AI automation". Confluent is most compared with Amazon MSK, Amazon Kinesis, Databricks, AWS Glue and Oracle GoldenGate, whereas IBM Cloud Pak for Integration is most compared with IBM App Connect, IBM API Connect, IBM DataPower Gateway and MuleSoft Anypoint API Manager. See our Confluent vs. IBM Cloud Pak for Integration report.
See our list of best Cloud Data Integration vendors.
We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.