Axual a representative vendor in Gartner’s Hype Cycle for Open-Source Software 2022
Axual, a leading provider of an enterprise event streaming platform based on Apache Kafka, is excited to be recognized as a representative vendor in Gartner’s latest Hype Cycle for Open-Source Software 2022.
On this page
Axual, a leading provider of an enterprise event streaming platform based on Apache Kafka, is excited to be recognized as a representative vendor in Gartner’s latest Hype Cycle for Open-Source Software 2022.
Most of the world’s software products are built with open-source components. IT architects and software engineering leaders should use this Hype Cycle to track innovations that manage, govern and secure the use of, or are powered by, open-source software.
Event-driven APIs
In the 2022 report, Gartner describes several emerging technologies and identifies that event-driven APIs play an important role in facilitating and standardizing event-driven architecture (EDA).
APIs have become the standard for many enterprises.
But there is a downside to this trend.
APIs solely based on request-response are limited by the fact that each system must know what they want from the other.
Today’s services mostly rely on other products or services across their eco-system. In this context, the request-response integration style can quickly reach a dangerous complexity as it requires an exponential number of point-to-point integrations between the different systems involved.
Event-driven APIs enable apps to integrate many products and services based on equivalence around event-driven interactions.
Event-driven APIs open up business opportunities for faster response to change and streaming analytics.
They also facilitate, and help standardize, event-driven architecture (EDA). Event-driven APIs bring advantages such as enabling push notifications, which are much more efficient and less expensive (from both a time and networking perspective) than polling.
Axual – your partner in event stream processing
Axual offers a complete event stream processing platform based on open source Kafka, extending it with self-service capabilities with which teams can easily setup and manage data streams through an intuitive, graphical interface.
Axual allows enterprises to run their Kafka instance reliably where they need it. On-premise, in the cloud or in a hybrid setup.
Rabobank, one of our customers in the financial services industry, chose Apache Kafka as the engine for their event streaming platform, but quickly discovered that Kafka was missing a number of features to scale across the enterprise while guarding governance and security. This insight sparked the collaboration between Rabobank and Axual. Today, Axual is the digital nervous system at Rabobank facilitating 150+ of DevOps teams and millions of messages per day.
Answers to your questions about Axual’s All-in-one Kafka Platform
Are you curious about our All-in-one Kafka platform? Dive into our FAQs
for all the details you need, and find the answers to your burning questions.
Kafka Software is primarily used to build real-time streaming data pipelines and applications that adapt to the data streams. It makes messaging, storage, and stream processing easier. So it allows for the storage and analysis of historical and real-time data.
Kafka is primarily used to build real-time streaming data pipelines and applications that adapt to the data streams.
Related blogs
Apache Kafka is a powerful platform for handling real-time data streaming, often used in systems that follow the Publish-Subscribe (Pub-Sub) model. In Pub-Sub, producers send messages (data) that consumers receive, enabling asynchronous communication between services. Kafka’s Pub-Sub model is designed for high throughput, reliability, and scalability, making it a preferred choice for applications needing to process massive volumes of data efficiently. Central to this functionality are topics and partitions—essential elements that organize and distribute messages across Kafka. But what exactly are topics and partitions, and why are they so important?
Strimzi Kafka offers an efficient solution for deploying and managing Apache Kafka on Kubernetes, making it easier to handle Kafka clusters within a Kubernetes environment. In this article, we'll guide you through opening a shell on a Kafka broker pod in Kubernetes and listing all the topics in your Kafka cluster using an SSL-based connection.
Kafka Operators for Kubernetes makes deploying and managing Kafka clusters simpler and more reliable. In this blog, we will do a deep dive into what a Kafka operator is and why you should use a Kafka operator.