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2025-03-13T04:00:00+00:003 min

How Onum Bridges the Gap in Real-Time Data Workflows

Onum’s latest integrations with Apache, Amazon, Google, and Microsoft provide a seamless way to streamline and scale your real-time data workflows.

SVP, Global Marketing
SVP, Global Marketing
2025-03-13T04:00:00+00:003 min

Unleash the Potential of Real-Time Data Integration

Onum is excited to announce the expansion of its integration capabilities, which enable seamless data exchange with leading third-party platforms. These solutions empower IT and Security teams to manage their data pipelines more efficiently and effectively in the Onum Platform.

Today's challenge isn’t just moving data; it’s ensuring that data flows reliably and efficiently between systems—no matter the tools or platforms involved. At Onum, we’ve tackled this challenge head-on, building integrations that let you connect disparate technologies and systems with ease. With our latest updates, Onum facilitates communication between any combination of tools without requiring dedicated listeners or sinks.

Whether you use Kafka, Amazon SQS, Google Pub/Sub, or Azure Storage, Onum enables native integrations with these powerful messaging systems, ensuring the right data gets to the right place at the right time. 

Messaging systems like Kafka, Amazon SQS, Google Pub/Sub, and Azure Event Hub are at the heart of distributed systems, enabling real-time data communication between applications. Despite differences in design and purpose, they share key features that make them essential for modern data workflows:

  • Message Passing: They enable senders and receivers to communicate in a decoupled manner, sharing events, logs, and more.

  • Asynchronous Communication: Senders and receivers can operate independently, enhancing system efficiency.

  • Scalability: Designed for high throughput, these systems handle massive data volumes seamlessly.

  • Reliable Delivery: Features like acknowledgments and retries ensure messages are delivered, even in the case of failures.

  • Publish-Subscribe Model: Multiple consumers can subscribe to specific topics or queues to receive relevant messages.

  • Event-Driven Architecture: These systems drive real-time reactions to events.

  • Cloud and On-Prem Flexibility: They integrate easily with diverse environments, catering to a wide range of use cases.

While each system has unique strengths—such as Kafka’s focus on event streaming or SQS’s simplicity for decoupling workloads—they’re fundamentally designed to do the same thing: move data efficiently.

The Onum Difference

What sets Onum apart is our ability to integrate natively with these systems while sitting at the center of your data workflows. Purpose-built for real-time processing, Onum optimizes data pipelines through reduction, transformation, enrichment, and orchestration. By minimizing inefficiencies and the impact on analytical platforms, Onum empowers businesses to trigger actionable responses in milliseconds—not minutes. By acting as the asynchronous communication layer, Onum eliminates the complexity of connecting listeners and sinks directly and the need to manage multiple point-to-point integrations. As your needs evolve, you can seamlessly evolve your data pipelines. 

Ready to Simplify Your Data Workflows?

Onum’s new integrations empower you to build flexible, scalable, and reliable data pipelines that work across platforms. Wherever you’re working, Onum ensures your data is always in motion—and always on time.

Want to see it in action? Schedule a demo to learn how Onum turns noisy data into real-time intelligence.

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