Introducing 
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In the News: In this episode of theCUBE + NYSE Wired Mixture of Experts series, Nexla Co-Founder & CEO Saket Saurabh joins host John Furrier to discuss the future of AI and data. From innovations in context engineering to the rise of AI factories, Saket shares insights on the challenges and opportunities shaping enterprise AI today.
Fivetran and Nexla are leading data integration platforms, but they take different approaches. Learn how they compare on features, deployment, and governance to find the right fit for your data strategy.
Nexla is featured on DBTA Big Data Quarterly’s 2025 “Big Data 75,” recognized among the innovators driving progress in data collection, storage, and analytics.
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.
Most data teams waste time fixing brittle pipelines instead of driving insights. See how AI-powered transformation and Nexla’s Common Data Model cut manual work and ensure scalable pipelines.
Forbes recognizes how Nexla defines and enables automated data mapping—matching data fields across systems to reduce errors and fragmentation. By applying AI and machine learning to integration, Nexla helps make financial data flows more accurate and resilient.
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.
Nexla CTO Amey Desai shares how Nexla supports MCP, enabling secure, AI-native data integration through Nexsets and agentic orchestration without compromising standards.
By combining an intelligent orchestration layer with a robust runtime engine, organizations can scale their AI integration capabilities while maintaining operational control.
Nexla CEO Saket Saurabh explains how data variety—differences in formats, sources, and structures—is a major reason AI initiatives fail to scale. You’ll learn about modern strategies like virtual data products and agentic integration.
