Our use case is for real-time data integration. It was a preferred tool for this purpose. Additionally, we employed Azure EventHub, another service, as an indicator for real-time data in a couple of larger programs focused on integrating real-time data and visualization.
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Amazing
What do you like best about the product?
The reliability and scalibility of the platform is really amazing,
The customer support is also very good.
The nhmber of features also are increasing.
The customer support is also very good.
The nhmber of features also are increasing.
What do you dislike about the product?
I don't dislike anything about confluent.
What problems is the product solving and how is that benefiting you?
Confluent makes analysis and big data management really simple and fast
An Azure Marketplace offering that provides Apache Kafka as a service
What is our primary use case?
What is most valuable?
Kafka and Confluent Cloud have proven to be cost-effective, especially when compared to other tools. In a recent BI integration program over the past year, we assessed multiple use cases spanning ship-to-shore and various Azure integrations. Our findings revealed that Confluent Kafka performed exceptionally well, standing out alongside Genesys and Azure Event Hubs. While these three are top contenders, the choice among other tools depends on the specific use case and project requirements.
The customer initially used tools like SMQs, FITRA, and Stream for real-time data processing. However, after our recommendation, Confluent Cloud proved to be a superior choice, capable of replacing these three tools and simplifying their data infrastructure. This shift to a single tool, Confluent Cloud, streamlined their operations, making maintenance and management more efficient for their internal projects.
What needs improvement?
Regarding real-time data usage, there were challenges with CDC (Change Data Capture) integrations. Specifically, with PyTRAN, we encountered difficulties. We recommended using our on-premises Kaspersky as an alternative to PyTRAN for that specific use case due to issues with CDC store configuration and log reading challenges with the iton components.
For how long have I used the solution?
We implemented this solution approximately a year and a half ago for significant projects.
What do I think about the stability of the solution?
I would rate the stability 8 out of 10.
What do I think about the scalability of the solution?
I would rate the scalability 8 out of 10.
How was the initial setup?
I haven't personally implemented it. The recommendation was made during a consulting program based on a thorough assessment of the tool's capabilities, connectors, and services. However, there hasn't been direct implementation on-site.
What other advice do I have?
While most of the capabilities meet current organizational needs, the pricing is slightly higher. Companies need to consider this aspect in their decision-making process, given the managed and comparatively higher price point. I would rate it an eight due to its capabilities and CDC integrations. It stands out as a top tool that can replace others for real-time data integration processes. The CIBC capability has the potential to handle EDCs effectively. While I assume the support is good for out-of-the-box challenges, I'm not certain about the cost. Overall, I believe it's a strong choice with a rating of eight.
The Ease of doing things on cloud.
What do you like best about the product?
The seamless and fast integration, availability of automation to a granular level with the easy implementation.
What do you dislike about the product?
Sometimes it becomes complex to understand however if the frequency of use is maintained, one can achieve any type of mastery.
What problems is the product solving and how is that benefiting you?
It reduces the latency of data streaming. Confluent can help organizations make better decisions by providing real-time insights into their data. This can lead to improved customer experience, increased operational efficiency, and reduced costs.
Also, Confluent can help organizations reduce costs by improving the efficiency of their data processing and reducing the need for expensive data storage solutions.
Also, Confluent can help organizations reduce costs by improving the efficiency of their data processing and reducing the need for expensive data storage solutions.
Knowledge hub / storage
What do you like best about the product?
Ease of access of its products and cloud option simply amazing
What do you dislike about the product?
Version history that need to improve and I am not using very much of it.
What problems is the product solving and how is that benefiting you?
Help partners/ fellow team members of what really happening with product and software development cycle.
One of the best managed platform for Kafka
What do you like best about the product?
1. Confluent has enhanced Kafka infrastructure management features in the last year.
2.The platform serves as a unified solution for real-time data pipelines, applications, and microservices.Offers a wide range of features in the enterprise edition for reliable and scalable real-time data management.
3. Easy integration with various software solutions, contributing to a significant increase in usage. Schema Registry exports, Prometheus monitoring tools are Valuable .Impressive API integrations and support for Infrastructure as Code (IaaC) through Terraform.
4. Confluent's support has proven to be time-saving and enhances developer productivity.
Key highlights: reliable Kafka clusters, schema registry for message reliability, user-friendly web interface.
2.The platform serves as a unified solution for real-time data pipelines, applications, and microservices.Offers a wide range of features in the enterprise edition for reliable and scalable real-time data management.
3. Easy integration with various software solutions, contributing to a significant increase in usage. Schema Registry exports, Prometheus monitoring tools are Valuable .Impressive API integrations and support for Infrastructure as Code (IaaC) through Terraform.
4. Confluent's support has proven to be time-saving and enhances developer productivity.
Key highlights: reliable Kafka clusters, schema registry for message reliability, user-friendly web interface.
What do you dislike about the product?
1. The web interface lacks some features present in APIs and the shell.
2.Schema exporter is not fully supported in Terraform.
3.Some Confluent documents are outdated, requiring external searches and Stack Overflow for issue resolution.Documentation, especially on deployment, is not up to par and is not beginner-friendly.
4. The overall learning curve is high, requiring knowledge of Kafka, connectors, and security.
2.Schema exporter is not fully supported in Terraform.
3.Some Confluent documents are outdated, requiring external searches and Stack Overflow for issue resolution.Documentation, especially on deployment, is not up to par and is not beginner-friendly.
4. The overall learning curve is high, requiring knowledge of Kafka, connectors, and security.
What problems is the product solving and how is that benefiting you?
We use an event-driven microservices architecture in our company, so Confluent solves the problem of managing clusters and provisioning infrastructure for Kafka.
Awesome
What do you like best about the product?
Nice sessions, to deliver best suggestions
What do you dislike about the product?
There is Nothing to dislike, A nice company with awesome team.
What problems is the product solving and how is that benefiting you?
It's benefits to keep Big data with ease to store and process.
Excellent documentation
What do you like best about the product?
Excellent documentation to understand difficult concepts. the concepts are written so clearly that it's very beginner friendly
What do you dislike about the product?
There could be more examples of real code for better understanding
What problems is the product solving and how is that benefiting you?
Producer consumer configuration
Good Data streaming architecture
What do you like best about the product?
1. Complete stack of data steaming architecture biggest upside
2. On the spot security matrix capable enough to carry 50million + counts
3. AI enhanced enterprise security
2. On the spot security matrix capable enough to carry 50million + counts
3. AI enhanced enterprise security
What do you dislike about the product?
1. Lots of issues with data governance.
2. Mircoservices integration are still lathargic
2. Mircoservices integration are still lathargic
What problems is the product solving and how is that benefiting you?
Users threads matrix control and it is helping us make sure our analysis is accurate and according to business kpis
Plug it in and get started in minutes!
What do you like best about the product?
We are able to mobile projects literal in minutes and deploy the first app at a Client to run a poc in under 1 hr. The support is excellent, they help not only with the infra but also answer tech questions on Kafka.
What do you dislike about the product?
Features usually lag a bit when you use private networks, so this creates some problems at clients getting confused why they cannot use a feature they see in the marketing material.
What problems is the product solving and how is that benefiting you?
It removes the obstacles of adopting kafka at clients and provides support our clients require
Embracing event streaming using confluent at a fintech
What do you like best about the product?
Best part about confluent is that it's very easy get started with setting up new topics from the confluent dashboard itself and manage allowed producers and consumers. Also it makes it very easy to set up and interact via pipelines on confluent.
What do you dislike about the product?
It's not yet real time, there have been a lot of instances where we failed to interpret the exact behaviour just because it'd take considerable amount of time to see updates on message consumptions, consumer lag etc. Also, being the company that confluent is, a better UX is expected from the dashboard.
What problems is the product solving and how is that benefiting you?
We've changed a lot of existing flows in our company which were initially dependent on webhooks and polling to Kafka based workflows which has inturn helped us with improved success rates of transactions.
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