Capterra’s researchers use a mix of verified reviews, independent research and objective methodologies to bring you selection and ranking information you can trust. While we may earn a referral fee when you visit a provider through our links or speak to an advisor, this has no influence on our research or methodology.
Capterra carefully verified over 2 million reviews to bring you authentic software and services experiences from real users. Our human moderators verify that reviewers are real people and that reviews are authentic. They use leading tech to analyze text quality and to detect plagiarism and generative AI. Learn more.
Capterra lists all providers across its website—not just those that pay us—so that users can make informed purchase decisions. Capterra is free for users. Software and service providers pay us for sponsored profiles to receive web traffic and sales opportunities. Sponsored profiles include a link-out icon that takes users to the provider’s website. Learn more.
IT professionals, software engineers, data engineers, data scientists
Businesses of all sizes looking for a cloud-native, API-driven integration solution or middleware to develop, govern, and orchestrate data and application integrations in a flexible and scalable way.
The feature set is just amazing, it enables you to build resilient and fault tolerant applications with ease.
Though it has various messaging capabilities, kafka has poor debugging and logging tools to monitor an app communication topic which is risky.
The functionality of kafka is just so good, everything works fine and nothing breaks any time. Also the distribution is really good.
Whenever we publish data from producers to Kafka, it is stored in a buffer and then it is published to Kafka, so we need to always flush the buffer to keep it empty.
The best thing is architecture which I like the most and it is easy to understand/learn how exactly Kafka works.
It’s a bit hard to maintain when you have a large kafka cluster with a lot of topics.
It is an open source which can handle real time data, Due to its scalability and fault tolerance it is the best choice for the large amount of real time data processing.
It matches only exact topic name and does not support wildcard topic selection.
Super team with strong abilities. This tool helps us to deliver best of breed solutions to our customers.
But before we used Alumio, about half of our developer's time was wasted on this 'bootstrapping' of integrations.
The benefit is the ease to do adjustments to running data routes. It is stable, and does not require any maintenance.
However, since every system you're connecting to might just be slightly different, it's really hard to automate the process or reuse your work.
Nice and friendly club that always wants to think along. In addition, as mentioned earlier, it is wise for the future of our customers (online retailers) to adopt such a solution.
Alumio is filling the missing link in our service portfolio.
Alumio supports just about everything out of the box, meaning that we save time on this bootstrapping. Meaning we can use our time on the really important part of integrations: Business Logic.
Once the integrations get more complex, the transformers might get hard to read.
Apache Kafka
Alumio
Top FeaturesApache Kafka
--
Products similar to those you're currently comparing: