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Confluent is good for real time data streaming with settings like retention time,segment time.
What do you like best about the product?
The topic feature in which we can produce and consume data and the partition part I liked the most.The throughout is high and latency is less.
What do you dislike about the product?
Nothing.Only I faced an issue where there was a lag of messages to be consumed.
What problems is the product solving and how is that benefiting you?
I am working on storing and sending data for my client at my organization.The throughout and performance of confluent is high.
Recommendations to others considering the product:
You can consider confluent if you require a large amount of data needed to be streamed efficiently with alot of settings.
Best Streaming Platform on the cloud
What do you like best about the product?
Easiest to set up and get the work done using the documentation provided. Excellent customer support and will easily understand the concepts so quickly and can create a significant impact in the businesses.
What do you dislike about the product?
There is room for a lot of improvement, and there is a need to introduce a lot of features to enhance the product and to match the product. Compared to others in the current market, It is getting its edge in the requirements.
What problems is the product solving and how is that benefiting you?
Data streaming service on the cloud and excellent documentation provided to understand the working easily and help the projects reduce time. Ideal usage will give your project a great time saving and significant cost-saving indeed.
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
Confluent: a great platform for asynchronous communication and data processing
What do you like best about the product?
I really like the Apache Kafka broker, the Avro serialization that is well integrated with the confluent schema registry.
The schema registry can spot potential bugs related to malformed data.
I'm using a lot also the Connect framework, allowing to integrate many existing systems without the need to write new code.
The schema registry can spot potential bugs related to malformed data.
I'm using a lot also the Connect framework, allowing to integrate many existing systems without the need to write new code.
What do you dislike about the product?
I think that it should be more evident the difference between the open-source Apache Kafka echosystem and the confluent platform. The difference between the two should be more transparent in what is possible to do or not to do without paying a confluent license.
What problems is the product solving and how is that benefiting you?
Confluent allows me to integrate complex systems togheter. It solves the asynchronous communication, backpressure among slow systems, and reprocessing of data pipelines.
Hi there am using confluent more then a year it is really nice and using confluent is very easy.
What do you like best about the product?
The most like thing is it is very easy to use and it has Zero loss of data & its replication. By using a connector you can dump your data in any database
What do you dislike about the product?
In my view, there is nothing missing in this product it is quite good in itself.
What problems is the product solving and how is that benefiting you?
We are using it in Big data analytics, Streming data, and for other use
Very pleased with their products
What do you like best about the product?
Documentation is good. Products are useful.
What do you dislike about the product?
Paid products too expensive. Nothing other missing.
What problems is the product solving and how is that benefiting you?
Microservices communication. Data pipelines.
Conflu
What do you like best about the product?
Ksql and kafka connect, and the managed kafka.
On top of that the schema registry that conflu. Provide to support avro is great help.............................
On top of that the schema registry that conflu. Provide to support avro is great help.............................
What do you dislike about the product?
I think some lower level api should be exposed in your services. If someone wants to tune in
What problems is the product solving and how is that benefiting you?
I was tryint to build a click stream analytics products. Also using kafka connecr for my EL
Recommendations to others considering the product:
If you don't want the overhead of managing the services, go dor confluent
Confluent
What do you like best about the product?
Ease of use, the ui is easy to understand and makes navigation easy.
Kafka in general is super complex, have a dedicated broker is great.
Kafka in general is super complex, have a dedicated broker is great.
What do you dislike about the product?
Querying is awful. Query by partition is about the only thing that ever works for me, and it really isn't fast
What problems is the product solving and how is that benefiting you?
Managed kafka is perfect. Not having to deal with a lot of the hassle of hosting and maintaining infra is great.
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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