I would rate the scalability of the solution at eight out of ten. We have 20 people who use Confluent in our organization now, and we hope to increase usage in the future.
Technical Lead at a retailer with 10,001+ employees
Real User
2021-12-24T13:11:00Z
Dec 24, 2021
With Confluent Cloud we no longer need to handle the infrastructure and the plumbing, which is a concern for Confluent. The other advantage is that all portfolios have access to the data that is being shared.
Senior Distributed Platform Engineer at a tech services company with 201-500 employees
Real User
2021-11-09T06:56:58Z
Nov 9, 2021
The most valuable feature that we are using is the data replication between the data centers allowing us to configure a disaster recovery or software. However, is it's not mandatory to use and because most of the features that we use are from Apache Kafka, such as end-to-end encryption. Internally, we can develop our own kind of product or service from Apache Kafka.
What is Streaming Analytics? Streaming analytics, also known as event stream processing (ESP), refers to the analyzing and processing of large volumes of data through the use of continuous queries. Traditionally, data is moved in batches. While batch processing may be an efficient method for handling huge pools of data, it is not suitable for time-sensitive, “in-motion” data that could otherwise be streamed, since that data can expire by the time it is processed. By using streaming...
Implementing Confluent's schema registry has significantly enhanced our organization's data quality assurance.
The most valuable is its capability to enhance the documentation process, particularly when creating software documentation.
One of the best features of Confluent is that it's very easy to search and have a live status with Jira.
I would rate the scalability of the solution at eight out of ten. We have 20 people who use Confluent in our organization now, and we hope to increase usage in the future.
The documentation process is fast with the tool.
The solution can handle a high volume of data because it works and scales well.
It is also good for knowledge base management.
With Confluent Cloud we no longer need to handle the infrastructure and the plumbing, which is a concern for Confluent. The other advantage is that all portfolios have access to the data that is being shared.
The most valuable feature that we are using is the data replication between the data centers allowing us to configure a disaster recovery or software. However, is it's not mandatory to use and because most of the features that we use are from Apache Kafka, such as end-to-end encryption. Internally, we can develop our own kind of product or service from Apache Kafka.
Kafka Connect framework is valuable for connecting to the various source systems where code doesn't need to be written.
A person with a good IT background and HTML will not have any trouble with Confluent.
Their tech support is amazing; they are very good, both on and off-site.