We performed a comparison between Confluent and Palantir Foundry 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."A person with a good IT background and HTML will not have any trouble with Confluent."
"The solution can handle a high volume of data because it works and scales well."
"Kafka Connect framework is valuable for connecting to the various source systems where code doesn't need to be written."
"It is also good for knowledge base management."
"The documentation process is fast with the tool."
"One of the best features of Confluent is that it's very easy to search and have a live status with Jira."
"Their tech support is amazing; they are very good, both on and off-site."
"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."
"The solution provides an end-to-end integrated tech stack that takes care of all utility/infrastructure topics for you."
"Great features available in one tool."
"The virtualization tool is useful."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration."
"Encapsulates all the components without the requirement to integrate or check compatibility."
"The interface is really user-friendly."
"The solution offers very good end-to-end capabilities."
"there is room for improvement in the visualization."
"Confluent's price needs improvement."
"Confluence could improve the server version of the solution. However, most companies are going to the cloud."
"Areas for improvement include implementing multi-storage support to differentiate between database stores based on data age and optimizing storage costs."
"It would help if the knowledge based documents in the support portal could be available for public use as well."
"Currently, in the early stages, I see a gap on the security side. If you are using the SaaS version, we would like to get a fuller, more secure solution that can be adopted right out of the box. Confluence could do a better job sharing best practices or a reusable pattern that others have used, especially for companies that can not afford to hire professional services from Confluent."
"There is no local support team in Saudi Arabia."
"They should remove Zookeeper because of security issues."
"Cost of this solution is quite high."
"There is not a wide user base for the solution's online documentation so it is sometimes difficult to find answers."
"They do not have a data center in Europe, and we have lots of personally identifiable information in our dataset that needs to be hosted by a third-party data center like Amazon or Microsoft Azure."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."
"If you want to create new models on specific data sets, computing that is quite costly."
"The workflow could be improved."
"Some error messages can be very cryptic."
Confluent is ranked 3rd in Streaming Analytics with 19 reviews while Palantir Foundry is ranked 12th in Cloud Data Integration with 13 reviews. Confluent is rated 8.4, while Palantir Foundry is rated 7.6. 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 Palantir Foundry writes "The data visualization is fantastic and the security is excellent". Confluent is most compared with Amazon MSK, Amazon Kinesis, Databricks, AWS Glue and Oracle GoldenGate, whereas Palantir Foundry is most compared with Azure Data Factory, Palantir Gotham, SAP Data Services and AWS Glue. See our Confluent vs. Palantir Foundry 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.
