Based on our record, Erlang should be more popular than Confluent. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I’m on MacOS and erlang.org, elixir-lang.org, and postgresql.org all suggest installation via Homebrew, which is a very popular package manager for MacOS. - Source: dev.to / 3 months ago
However, as Elixir is inherently tied to the BEAM and Erlang/OTP, it means that it has features like immutable variables (though you can rebind them and have state via process loops, e.g. Agents or GenServers). This also means that OTP is the main "application framework" for Elixir/Erlang. In my opinion, OTP is a pretty good design philosophy for applications, but sometimes it's just kind of hard to set up or wrap... - Source: dev.to / over 3 years ago
We’re going to setup a Kafka cluster using confluent.io, create a producer and consumer as well as enhance our behavior driven tests to include the new interface. We’re going to update our helm chart so that the updates are seamless to Kubernetes and we’re going to leverage our observability stack to propagate the traces in the published messages. Source: over 2 years ago
Elixir - Dynamic, functional language designed for building scalable and maintainable applications
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Perl - Highly capable, feature-rich programming language with over 26 years of development
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Clojure - Clojure is a dynamic, general-purpose programming language, combining the approachability and interactive development of a scripting language with an efficient and robust infrastructure for multithreaded programming.
Spark Streaming - Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.