Apache Kafka and RabbitMQ: Which Open Source Platform Will Fit My Needs?
By understanding the particular strengths of RabbitMQ and Apache Kafka, you can ensure that you’re using the right message queue platform for your use
This big data technology lets users query a continuous data stream and detect conditions — within a few milliseconds to minutes — after receiving that data (i.e. flow of events); processing data in motion, or computing on data directly as it’s produced or received.
By understanding the particular strengths of RabbitMQ and Apache Kafka, you can ensure that you’re using the right message queue platform for your use
Although CDC is not new, modern demands for real-time ingestion and serving the freshest possible data to applications gives you an opportunity to re-evaluate …
To work with streaming edge data requires a modern data architecture built on next-generation databases, data pipelines, and streaming data
Many streaming apps use cases help businesses first understand what is going on, and then provide the insights into what to do about
InfinyOn has architected a platform for data in motion that uses SmartModules to enable enterprises to program their data pipelines for real-time services.
Uber's new ad processing system was built with open-source technologies and an innovative exactly-once semantic system for accuracy and
Given the unique challenges of working with real-time data, organizations need to consider which tools will help them deploy and manage AI and ML models in the …
Harnessing the full power of real-time data streams delivers great value, but is difficult for many organizations. The top hurdle is integrating multiple data …
A data mesh flips the script on centralization and having a monolithic data structure by decentralizing data management to the various business domains across …
Organizations are increasingly opting for an analyze-then-store method for streaming data, according to a new survey by