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Why We Built Express: From Data Variety to Data Simplicity
How years of solving data variety led us to create a conversational data engineering platform…
Nexla Blog
Featured
Introducing Express: The Conversational Data Engineering Platform to Simplify the Creation of Complex Data Workflows for AI Applications
By Nexla Team
Featured
Open Source in the Age of SaaS: What the Fivetran-DBT Merger Means for dbt Core
Featured
The Great Data Integration Pricing Bait-and-Switch: Lessons from Fivetran’s Playbook
Why AI Training Fails, And What Actually Works
In this first episode of DatAInnovators & Builders, Databricks’ Robin Sutara reveals why generic AI training doesn’t stick and how persona-based enablement drives real adoption.
InfoQ Covers Nexla Express and the Future of Conversational AI Data Engineering
In the News: InfoQ recently featured Nexla Express in a detailed article on conversational AI for data engineering. The piece highlights how Express enables users to create AI-ready pipelines using plain language.
By Nexla Team
Introducing DatAInnovators & Builders!
A podcast for data leaders looking for real conversations on AI adoption and data architecture, hosted by Nexla CEO Saket Saurabh.
By Nexla Team
Nexla Partners with Microsoft to Supercharge Microsoft 365 Copilot with Access to 500-Plus Enterprise Data Sources
Nexla brings 500+ pre-built data connectors to Microsoft 365 Copilot, enabling organizations to easily integrate internal and third-party data for smarter AI workflows.
By Nexla Team
Why Context Engineering Will Define the Next Era of Enterprise AI
In the News: Saket Saurabh, Nexla CEO, explains why enterprise AI’s future lies in context engineering: building the right data, memory, and workflows for smarter, more reliable AI.
Model Context Protocol (MCP) Deep Dive with Amey Desai, Nexla’s CTO
In this episode of Software Engineering Radio, listen how the Model Context Protocol is transforming AI system architecture, and empowering developers with agentic workflows
By Nexla Team
Why the Modern Data Stack Failed—And What Comes Next After Fivetran-DBT
The modern data stack has failed. The Fivetran–dbt merger highlights tool sprawl, rising costs, and integration complexity, forcing data leaders to rethink their infrastructure strategy. Choose wisely.
How Automated ETL Tools Contribute to Better Data Quality and Consistency
When data quality drops, revenue follows. Automated ETL fixes that by eliminating errors, enforcing standards, and ensuring consistency across systems to deliver trustworthy analytics and business insights.
By Nexla Team
CDM in Action: Creating Reusable Data Products
Poor data management can cost organizations 15–20% of revenue. Reusable, scalable data products help—but only if they’re consistent and reliable. A Common Data Model (CDM) standardizes and structures data, ensuring accuracy, scalability, and long-term value.
By Nexla Team
Saket Saurabh Discusses Fivetran-dbt Labs Merger on theCUBE + NYSE Wired
In the News: Watch Nexla CEO Saket Saurabh analyze the Fivetran-dbt Labs merger with John Furrier on theCUBE + NYSE Wired, exploring its strategic impact on the evolving data ecosystem.
By Nexla Team
Market Reaction: What People Really Think About the Fivetran-dbt Merger
The Fivetran–dbt merger is creating ripples across the data world. Customers face rising costs and vendor lock-in, while platform giants gain leverage. Learn what the market really thinks and how to stay flexible amid the change.
Model vs. Context Companies: Saket Saurabh on Enterprise AI | The Joe Reis Show
In the News: Saket Saurabh sits down with Joe Reis to discuss why context, not models, defines competitive advantage in AI and how enterprises must rethink data strategy.
By Nexla Team
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