January 24, 2022

Axual named a representative vendor in the 2022 Gartner market guide for event stream processing

We’re excited to announce that Axual, provider of an all-in-one Kafka platform for enterprises, is listed as a representative vendor in the 2022 Gartner market guide for event stream processing.

On this page

We’re excited to announce that Axual, provider of an all-in-one Kafka platform for enterprises, is listed as a representative vendor in Gartner’s latest market guide for event stream processing.

Jeroen van Disseldorp, CEO & Founder of Axual, says, “We are proud to be mentioned three times in Gartner’s latest market guide. Since our inception in 2015, Axual has always tried to be on the forefront of streaming technology. To us, this is a great recognition that our technology and unique approach in enterprise-wide event streaming is well received and assessed by the market-leading analysts.”

As more and more data is available, event stream processing (ESP) platforms play an important role in turning that data into insights and inform real-time decisions. Gartner describes two common ESP usage scenarios:

  • Streaming analytics: analyzing data from multiple sources simultaneously. Patterns can be identified in information extracted from a number of input sources. These patterns can be used to trigger actions such as creating alerts or feeding information to a real-time dashboard.
  • Streaming integration: capturing data in real-time from event sources (such as sensors, devices and business applications) in the form of streams of events and routing the event streams to different destination technologies as needed.

There are a couple of trends that are influencing the adoption of ESP platforms.

The Internet of Things (IoT)
With an increasing number of data-generating sensors and meters being embedded in all manner of smart devices, there is a clear, growing need to harness and analyze IoT data. More and more organizations are adopting ESP platforms to power their data analytics with real-time IoT data. Use cases here are for example forecasting energy production and demand, trading efficiently on the energy markets, and to predict and get insights into energy usage.

Open source
Open source technologies such as Apache Flink, Apache Spark Streaming and Apache Kafka make event streaming more widely available. Gartner states, “these products are used mostly by organizations new to ESP or that prefer to do most of the software engineering themselves.”

The cloud
The rise of the cloud makes ESP platforms also more interesting for organizations with less budget and resources. Gartner states, “cloud ESP also brings the generic benefits of cloud: elastic scalability, self-provisioning or serverless operation, continuous patching and versioning, and offloading much of the work required for high availability and disaster recovery.”

Axual your partner in enterprise-wide event streaming

Talking to our customers and prospects over the last six years we know that Apache Kafka is the most popular choice among architects and developers for event streaming. While Kafka is great, it’s also complex and quite a challenge to set up for secure and compliant event streaming at enterprise scale. That’s where Axual comes in.

Axual offers a complete streaming 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.

Interested in learning more about event streaming and Axual? Here are some great resources to get started:

Download the Whitepaper

Download now
Table name
Lorem ipsum
Lorem ipsum
Lorem ipsum

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.

Rachel van Egmond
Senior content lead

Related blogs

View all
Richard Bosch
November 12, 2024
Understanding Kafka Connect
Understanding Kafka Connect

Apache Kafka has become a central component of modern data architectures, enabling real-time data streaming and integration across distributed systems. Within Kafka’s ecosystem, Kafka Connect plays a crucial role as a powerful framework designed for seamlessly moving data between Kafka and external systems. Kafka Connect provides a standardized, scalable approach to data integration, removing the need for complex custom scripts or applications. For architects, product owners, and senior engineers, Kafka Connect is essential to understand because it simplifies data pipelines and supports low-latency, fault-tolerant data flow across platforms. But what exactly is Kafka Connect, and how can it benefit your architecture?

Apache Kafka
Apache Kafka
Richard Bosch
November 1, 2024
Kafka Topics and Partitions - The building blocks of Real Time Data Streaming
Kafka Topics and Partitions - The building blocks of Real Time Data Streaming

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?

Event Streaming
Event Streaming
Jimmy Kusters
October 31, 2024
How to use Strimzi Kafka: Opening a Kubernetes shell on a broker pod and listing all topics
How to use Strimzi Kafka: Opening a Kubernetes shell on a broker pod and listing all topics

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.

Strimzi Kafka
Strimzi Kafka