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Senior Software Engineer
What do you like best about the product?
High availability and throughput. It's very reliable.
What do you dislike about the product?
It's costly and often we need to think about alternatives.
What problems is the product solving and how is that benefiting you?
Kafka is our main component in delivering events to various services.
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The Best Of Data Streaming Platform
What do you like best about the product?
Couple of good things that I like about confluent
Unified Platform
Apache Kafka Integration
Scalability & Performance
Streaming capabilities
Unified Platform
Apache Kafka Integration
Scalability & Performance
Streaming capabilities
What do you dislike about the product?
Setting up confluent can be bit challenging if you have less knowledge in Kafka
What problems is the product solving and how is that benefiting you?
Creating Event driven application with enterprise level support
Great product, efficient support
What do you like best about the product?
We always feel close to the technical team, having good channels to address architecture at low and high levels.
What do you dislike about the product?
Monitoring is not excellent yet. We spend loads of extra money with custom metrics to ensure all our services are working okay.
What problems is the product solving and how is that benefiting you?
IOT platform event streaming. It's our central nervous system.
Feature-rich cloud service with a wonderful support team
What do you like best about the product?
I should start off by clarifying that my company has not, at this time, moved forward with Confluent. That has to do with the direction our platform is taking, rather than the capabilities/quality of the Confluent solution. As we built a proof of concept with Confluent Cloud, it was very clear that it is feature-rich and very user-friendly. They are actively building a Terraform provider which will allow us to do even more IaC configuration, rather than manually or with deployment scripts.
All that said, I think the place where Confluent shined the most was with regards to the contacts with whom we worked throughout our process. They proactively reached out to us to provide helpful resources/articles/videos, and got on calls with us to discuss implementation solutions and to better understand our needs. There was no pressure for us to sign a contract or move forward with any sales process. Their goal was purely to make themselves available to us so we could build the best possible solution and follow best practices and design standards around the Kafka ecosystem.
Confluent Cloud also offers a lot of wonderful out-of-the-box connectors to systems like SQS, Lambda, etc. It saves you from writing a lot of boilerplate code.
All that said, I think the place where Confluent shined the most was with regards to the contacts with whom we worked throughout our process. They proactively reached out to us to provide helpful resources/articles/videos, and got on calls with us to discuss implementation solutions and to better understand our needs. There was no pressure for us to sign a contract or move forward with any sales process. Their goal was purely to make themselves available to us so we could build the best possible solution and follow best practices and design standards around the Kafka ecosystem.
Confluent Cloud also offers a lot of wonderful out-of-the-box connectors to systems like SQS, Lambda, etc. It saves you from writing a lot of boilerplate code.
What do you dislike about the product?
Honestly, this is a tough one to answer because my experience was so overwhelmingly positive. Though I've worked in eventually consistent and event-sourced systems before, I am a Kafka newbie. So, there is a pretty steep learning curve around it. While I do think that Confluent Cloud offered some great resources and tutorials, I wish they could go a step further with demonstrations of how to integrate Kafka with your software, with real-world examples of what the consuming/producing code might look like and how that would fit into your larger application.
Also, I was struggling to understand how multiple message producers could write messages with optimistic concurrency, a la EventStoreDb.
Also, I was struggling to understand how multiple message producers could write messages with optimistic concurrency, a la EventStoreDb.
What problems is the product solving and how is that benefiting you?
The problems we were looking to solve were to have an immutable ledger that serves as the source of truth for all changes to the system. I also want a system that leverages eventual consistency to help create loose coupling between services and to have a higher system resiliency/disaster recovery.
Some benefits I realized from Kafka/Confluent Cloud specifically are the power of KSQL, which essentially serves as an abstraction from a lot of the producer/consumer code you'd otherwise have to write in your application logic. It's incredibly powerful,and is drastically simpler to write than lambda/worker logic that you'd otherwise need to create.
Some benefits I realized from Kafka/Confluent Cloud specifically are the power of KSQL, which essentially serves as an abstraction from a lot of the producer/consumer code you'd otherwise have to write in your application logic. It's incredibly powerful,and is drastically simpler to write than lambda/worker logic that you'd otherwise need to create.
Recommendations to others considering the product:
Give it a shot. You can get an evaluation coupon code upon signup that allows you to play around with Confluent Cloud and try it for yourself.
Reliable Cloud Kafka
What do you like best about the product?
We don't have to maintain our Kafka brokers.
What do you dislike about the product?
Pricing by partition & It would be great to be able to assign more granular permissions to users.
What problems is the product solving and how is that benefiting you?
Supporting our Event Driven Architecture.
Recommendations to others considering the product:
Consider your architecture requirements carefully - don't over-engineer. Use SaaS where appropriate for your organisation.
Overall best but few shortcomings
What do you like best about the product?
Compared to AWS kinesis, it does not have any message limits and highly customized and scalable streaming technology.
What do you dislike about the product?
It is lacking in terms of managed service and detailed information regarding the message delivery. There could be major enhancements in terms of enterprise support that we can use in AWS kinesis.
What problems is the product solving and how is that benefiting you?
We are using this software in a few of the POCs where we are streaming data from MS SQL server (operational data store) to Oracle server(for analytics) using pyspark and confluent kafka through hive tables. This is being done using Oracle CDC connector to implement DWH requirements.
I worked with confluent connect mostly.. it was very user friendly
What do you like best about the product?
I worked with confluent connect mostly.. it was very user friendly
What do you dislike about the product?
Replies for forum questions should be replied faster.
What problems is the product solving and how is that benefiting you?
I was developing customized kafka connectors which was very easy by use of distributed framework
Great product
What do you like best about the product?
Technology fallows cloud native standards. It is well documented and easy to kick-start
What do you dislike about the product?
I would appreciate kafka streams equipment for other languages like python or go.
What problems is the product solving and how is that benefiting you?
We use it for building scalable data platform.
Very easy to use
What do you like best about the product?
Very easy to handle hung amount of data.
What do you dislike about the product?
Sometimes Kafka Connectors get hung state
What problems is the product solving and how is that benefiting you?
I'm handling big data. Very easy to handle large data sets
Good Kafka resource, kind of expensive.
What do you like best about the product?
Their learning resources are great, but it all leads to buying Confluent for Kafka.
What do you dislike about the product?
But we're good engineers here. Do we really need to buy into all of it?
What problems is the product solving and how is that benefiting you?
We need to get a changelog as a source of truth. Basically, what Ben Stopford calls turning the database inside out. But for now, I think we can do it ourselves.
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