Best and most robust data streaming platform!
July 14, 2022

Best and most robust data streaming platform!

Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with Confluent Platform

We needed a data streaming platform to support real time data ingestion to our data lake environment. This real time data supported client facing in store and digital use cases for sub second api call classification or product promotions. As well, we looked for a partner who could replace our current technology on Azure and Confluent was able to do so at a global enterprise level.
  • Streaming real time transactional data to cloud storage locations
  • Data streaming transformation reducing compute expenses on lake and warehouse environments
  • Transfer large size data segments
  • Cloud based Azure platform features for Confluent lacks behind AWS And GCP
  • Confluent replaced Microsoft Event Hubs in our environment and unblocked data platform services rollout globally.
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.

Do you think Confluent delivers good value for the price?

Yes

Are you happy with Confluent's feature set?

Yes

Did Confluent live up to sales and marketing promises?

Yes

Did implementation of Confluent go as expected?

Yes

Would you buy Confluent again?

Yes

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.

Confluent Feature Ratings

Real-Time Data Analysis
10
Visualization Dashboards
8
Data Ingestion from Multiple Data Sources
10
Low Latency
9
Integrated Development Tools
8
Data wrangling and preparation
Not Rated
Linear Scale-Out
9
Machine Learning Automation
Not Rated
Data Enrichment
10