We performed a comparison between Confluent and SAS Data Management based on real PeerSpot user reviews.
Find out in this report how the two Streaming Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."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."
"Implementing Confluent's schema registry has significantly enhanced our organization's data quality assurance."
"The most valuable is its capability to enhance the documentation process, particularly when creating software documentation."
"A person with a good IT background and HTML will not have any trouble with 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 tools."
"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."
"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."
"I am impressed with the tool's ability to customize."
"The technical support is excellent."
"The tool is reliable, quick, and powerful."
"If you compare it to SQL, the memory and development times are very quick."
"In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features."
"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."
"Its robustness is valuable. It is a full-fledged suite. We have a data warehouse model, and there are also a lot of data quality management tools. The repository and all other tools are there. So, it is a full package in terms of reporting tools."
"This is an established product with powerful data analysis and varied options for user entry points."
"It could be improved by including a feature that automatically creates a new topic and puts failed messages."
"It could have more integration with different platforms."
"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."
"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."
"There is no local support team in Saudi Arabia."
"The product should integrate tools for incorporating diagrams like Lucidchart. It also needs to improve its formatting features. We also faced issues while granting permissions."
"The pricing of the solution needs to be improved. They need to work to make it more affordable."
"One problem is accessing the data using a solution other than SAS. The SAS data, which we create in the SAS, cannot be accessed by other tools. We can't open those data in other applications. So we need to have that application in place."
"I would like the tool to include the ability to automate the modifications of the integrations."
"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."
"We find we often have to go back and re-train users when there are changes made to the solution because the changes are not intuitive."
"With SAS Data Management, you have to purchase an external driver, configure all of the tables for all of the data that you will extract from Salesforce. It's not a straightforward process."
"We implemented it a while ago, and we are trying to improve the data delivery performance. We are looking into how to get faster and automated reporting. We would need better designs and workflows."
"The solution is quite expensive and hard to install/configure."
Confluent is ranked 3rd in Streaming Analytics with 19 reviews while SAS Data Management is ranked 43rd in Data Integration with 15 reviews. Confluent is rated 8.4, while SAS Data Management is rated 8.4. 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 SAS Data Management writes "A scalable solution with customer support that is responsive and diligent". Confluent is most compared with Amazon MSK, Amazon Kinesis, Databricks, AWS Glue and Oracle GoldenGate, whereas SAS Data Management is most compared with Informatica PowerCenter, Tungsten RPA, Microsoft Purview, IBM InfoSphere DataStage and Palantir Foundry. See our Confluent vs. SAS Data Management report.
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