Dive into Apache Iceberg’s benefits. Reliable pipelines need strong operations, from catalog options to lakehouses. Learn about time travel, schema evolution, and best practices for scalable maintenance with Nexla.
Discover how Apache Iceberg separates storage from compute to improve modern data lake performance. See how Nexla supports CDC into Iceberg and also uses Iceberg as a source to streamline data integration and analytics.
Schema drift can break pipelines and delay data products. Iceberg and Nexla keep Medallion workflows stable, audit-ready, and engine-agnostic.
Learn how to transform your data into AI-ready assets. Understand the components of AI-ready data and how Nexla’s data product capabilities empower your AI initiatives.
By combining an intelligent orchestration layer with a robust runtime engine, organizations can scale their AI integration capabilities while maintaining operational control.
Success now hinges on how well businesses share data beyond their walls. Seamless intercompany data flow fuels smarter decisions, faster collaboration, and real growth. In this new era, connection is the key to competitiveness.
Nexla has been recognized in Gartner’s 2025 Hype Cycles for Cloud and AI for its leadership in data integration and AI enablement. Nexla’s platform powers seamless, governed data sharing across organizations—accelerating AI and cloud transformation.
In the News: Nexla landed a spot on the DBTA 100 2025, a list recognizing the top companies shaping the future of data. This year’s list highlights leaders driving innovation in AI, data integration, and digital trust.
In the News: Saket Saurabh, CEO and Co-founder of Nexla, joins Jennifer Pierce on Innovators Journey to talk about how Nexla continues to push the boundaries of AI and technology.
If history is any guide, Fivetran’s acquisition of Census would likely follow the same bundling model we’ve seen with HVR. Integration might not follow anytime soon.
In the News: Co-founder and CEO at Nexla, discusses how data engineering is evolving to support generative AI—highlighting data quality, governance, and human-in-the-loop workflows for building trustworthy AI systems.
By combining an intelligent orchestration layer with a robust runtime engine, organizations can scale their AI integration capabilities while maintaining operational control.
Webinar