Excellent tech to manage short messages with high frequency
July 11, 2021

Excellent tech to manage short messages with high frequency

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

Overall Satisfaction with Apache Kafka

Kafka is being used for sending log information in real time and there[fore] can monitor apps and send these events to feed other apps. It's the core for send[ing] and receiv[ing] messages due to quantity of messages per second. Helps us to scale and manage the common errors in this type of problem.
  • Scalable
  • Fast
  • Performance
  • Open source
  • Performance security
  • Monitoring
  • Configuration
  • Apps with data available faster
  • Minimize charge process
  • Data replication with lag minor than 5 s
All stack tech helps our app and system. These technologies allow us to have the data available faster between different regions (due to our particular configuration) and thus the data and processing load of each system is lower. This allows the systems to be used more efficiently for other purposes.

Do you think Apache Kafka delivers good value for the price?

Yes

Are you happy with Apache Kafka's feature set?

Yes

Did Apache Kafka live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Apache Kafka go as expected?

Yes

Would you buy Apache Kafka again?

Yes

Send a few events in a few time slots: Kafka is designed for high computing events. If you application doesn't work with more [than] 25.000 messages, Kafka isn't the correct solution.

Send events with high size: don't try working with events with more [than] 1 Mb, the performance is very poor.

Send event without compression: if you work with any compression with messages this will help the performance in net traffic and speed of pipeline