Apache Kafka

Power real-time data flow with Apache Kafka

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Overview

Apache Kafka offering brings the power of distributed event streaming to your applications without the complexity of managing clusters. Designed for real-time data pipelines and event-driven architectures, it enables seamless integration across systems and applications.

The managed service ensures scalability, high availability, and automated recovery—so you can focus on building data-driven solutions. With robust security, monitoring, and simplified operations, Kafka becomes production-ready out of the box.

Whether it’s analytics, IoT, payments, or microservices, our Kafka service helps you move data reliably and at scale.

Pricing

To know more about the SKUs and pricing click below.

Core Features at a Glance 

Fully Managed Clusters
No setup, patching, or maintenance required.
High Throughput & Low Latency
Optimised for real-time data streaming at scale.
Elastic Scaling
Expand partitions, brokers, and resources on demand.
Resilient Architecture
Replication and high availability with failover configurability ensures durability and uptime.
Enterprise-Grade Security
Authentication, authorisation, and encrypted communication.
Data Connectors
Pre-built integrations with databases, apps, and cloud services.
Monitoring & Metrics
Dashboards for throughput, lag, latency, and topic health.

What You Get

Faster Time-to-Value
Launch production-ready Kafka clusters in less than an hour.
Reduced Complexity
No need to manage brokers, partitions, or KRaft.
Reliable Streaming
Built-in replication and fault tolerance guarantee continuity.
End-to-End Security
Strong access controls and encryption safeguard data.
Scalable Architecture
Adjust resources to match growing event volumes.

Still have questions?

It’s a managed Kafka platform that runs on KRaft, the modern Kafka consensus mechanism, removing the need for ZooKeeper.
Common use cases include real-time analytics, payment processing, IoT data ingestion, messaging, and microservices communication.
KRaft simplifies Kafka’s architecture, reduces operational overhead, improves scalability, and provides a unified metadata management system.
Kafka uses replication across brokers, and our service includes the ability to configure the apt failover mechanisms.
KRaft uses Raft-based consensus to maintain metadata consistency across controllers, ensuring durability and fault tolerance.
Yes, you can scale brokers, topics, and partitions on demand without downtime.
Data is encrypted in transit, and you get authentication, authorisation, and role-based access control.
Replication and highly available cluster setup keep your topics and data available.
Yes, KRaft is stable and supported in the latest Kafka releases, and our managed service is tuned for production workloads.
Through real-time dashboards that track topic lag, throughput, latency, and broker health.

Resources

Stream and process real-time data at scale with Kafka.
Video
Stream and process real-time data at scale with Kafka.
High-throughput event streaming for real-time applications and analytics.
Brochure
High-throughput event streaming for real-time applications and analytics.

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