Confluent vs. Datastreamer

If you have a need to stream data, real time or segmented structured data then Confluent is a great platform to do so with. You won't run into packet transfer size limitations that other platforms have. Flexibility in on-prem, cloud, and managed cloud offerings makes it very flexible no matter how you choose to implement.

Incentivized

Datastreamer has great competency in aggregation and classification of large amounts of unstructured, conversational/social data. We perform media monitoring on social media data which is infinitely large and changing every second. Datastreamer is able to stream that high volume of complex data reliably. There are other solutions better suited for small data movement efforts. The AI models and operations set Datastreamer apart from simple web API's that only collect data and pass it on without augmenting it's value. Very appropriate for organizations looking to use this type of information to understand and classify sentiment, identify themes/insights to assist in decision making across multi-department roles in an organization: PR, marketing, security etc.

• Products work great.
• Training is available.
• Customer support is good.

Incentivized

• Cloud based Azure platform features for Confluent lacks behind AWS And GCP

Incentivized

The support from the Confluent platform is great and satisfying. We have been working with Confluent for more than a year now. They sent out resident architects to help us set up Confluent cluster on our cloud and help us troubleshoot problems we have encountered. Overall, it has been a great experience working with the Confluent Platform.

Incentivized

For our use case it was very important that the technology we were working with fit into our Azure architecture, and met our data processing size requirements to stream data within certain SLAs. Confluent more than met our performance requirements and compared to the others scale options and cost to run it was more than financially viable as a platform solution to our global operations.

Incentivized

• It enables us to develop event driven application.
• It increases our ability to handle streaming data.
• It reduces latency of communication.

Incentivized