Calsoft, a leading digital engineering services provider, has partnered with StreamNative to help enterprises with high-performance real-time data streaming. This collaboration aims to address the high operational expenses of Apache Kafka and Pulsar workloads and simplify large-scale deployments.
Leaderless architecture enables any broker to handle reads and writes, eliminating single-leader dependency. This reduces data transfer, lowers costs, and enables high scalability.”
— Vipin Shankar – Chief Technology Officer (CTO), Calsoft Inc.
To explore these industry challenges and solutions, and discover real benefits for your business, experts from Calsoft and StreamNative are joining together for a live webinar on April 9.
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As enterprises scale their Kafka workloads, ensuring seamless performance becomes a critical challenge, especially with the growing demands of Gen AI and large-scale IoT deployments. In the real-time AI era, feeding Gen AI models with trusted, high-quality data requires seamless integration between data streaming and lakehouses.
Recognizing these pain points, Calsoft’s engineering team benchmarked StreamNative Cloud and AWS MSK across critical metrics such as maximum throughput, latency, and fault tolerance. This study offers data-driven insights to help businesses choose the right cloud-native streaming solution and gain a competitive edge.
Calsoft and StreamNative’s combined expertise brings smarter alternatives to improve resource utilization and enhance real-time analytics.
Adopting a leaderless architecture and lakehouse-native storage can significantly reduce inter-zone network costs and storage overhead. This supports real-time and batch analytics without complex ETL, ensuring Gen AI applications access fresh, reliable data while optimizing processing and infrastructure costs.
Industry leaders and tech enthusiasts looking to drive their cloud-native strategy forward and enhance the data streaming capabilities can join the live webinar and gain valuable insights.
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“At Calsoft, we have seen real-time data streaming deliver real business value—when backed by the right infrastructure. Our expertise in benchmarking and application modernization ensures scalability and cost-efficiency without compromising performance. 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—without compromising performance. It’s incredibly rewarding to witness enterprises embrace this journey and thrive.”
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 not only simplifies real-time data streaming but also drives significant cost savings for customers operating at scale. Together, we are helping enterprises modernize their data infrastructure without compromising performance or reliability.”
Sijie Guo – Co-Founder & CEO, StreamNative
The post Calsoft and StreamNative Join Forces to Optimize Cost and Performance in Real-Time Data Streaming first appeared on PressReleaseCC.
Calsoft and StreamNative Join Forces to Optimize Cost and Performance in Real-Time Data Streaming first appeared on Web and IT News.
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