Calsoft, a leading digital engineering services provider, has partnered with StreamNative, a key player in real-time messaging and streaming, to help enterprises overcome operational and performance challenges associated with Apache Kafka and Pulsar workloads. This collaboration brings a new level of scalability and cost-efficiency to large-scale data streaming deployments—paving the way for Gen AI, IoT, and real-time analytics initiatives.

With the exponential growth of data and the increasing demands of AI-driven applications, businesses are seeking smarter ways to integrate streaming and lakehouse infrastructures. Calsoft and StreamNative are answering that call.

Live Webinar: Industry Challenges and Real Solutions

To explore the benefits of this partnership and gain data-backed insights into cloud-native streaming strategies, Calsoft and StreamNative experts will co-host a live webinar on April 9. The session will uncover:

• Key industry pain points in scaling Kafka and Pulsar workloads

• Comparative benchmarking of StreamNative Cloud vs AWS MSK

• Practical ways to reduce inter-zone network costs and storage overhead

• Strategies to ensure real-time Gen AI applications access clean, high-quality data

• Best practices for building cloud-native streaming pipelines with leaderless architecture

Benchmarking Insights: StreamNative Cloud vs AWS MSK

To validate the performance and cost implications, Calsoft’s engineering team conducted a comprehensive benchmarking study across:

• Maximum throughput

• Latency under peak loads

• Fault tolerance and recovery times

These results empower enterprises to make data-informed decisions when choosing a real-time streaming platform—especially for mission-critical applications where performance and reliability are non-negotiable.

Enabling the Gen AI Era: Real-Time Data Meets Lakehouse

In today’s AI-driven landscape, Gen AI models demand timely, trusted data inputs. A modern data infrastructure that tightly integrates streaming with lakehouse storage allows enterprises to:

• Eliminate complex ETL pipelines

• Run both real-time and batch analytics effortlessly

• Optimize infrastructure spend

• Feed Gen AI engines with fresh, high-quality data

This partnership supports cloud-native modernization, helping businesses transition from monolithic streaming systems to scalable, cost-effective solutions without compromising data integrity or latency.

Voices from the Leadership

“At Calsoft, we have seen real-time data streaming deliver real business value—when backed by the right infrastructure. Our partnership with StreamNative has reinforced this, allowing us to deliver robust Kafka-compatible solutions that genuinely scale, streamline costs, and support our customers’ cloud-native visions.”

— Vipin Shankar, Chief Technology Officer (CTO), Calsoft Inc.

“We are excited to partner with Calsoft to deliver an end-to-end Kafka-compatible solution that simplifies real-time data streaming and drives significant cost savings for customers operating at scale.”

— Sijie Guo, Co-Founder & CEO, StreamNative

As enterprises ramp up investments in Gen AI, IoT, and real-time decision-making, robust streaming infrastructures will play a pivotal role. The Calsoft–StreamNative collaboration offers a clear path toward optimized performance, cost savings, and accelerated innovation.

Don’t miss the opportunity to learn from the experts—join the webinar on April 9 to explore how your organization can unlock the full potential of real-time data streaming.