A separate MCP server per app doesn’t scale. See why task-specific, governed MCP servers across your systems are the future, with Nexla MCP Studio.
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.
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.
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.
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.
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.
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.
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.
At the 2025 Data + AI Integration Summit, a conversation between Amey Desai (CTO at Nexla) and Qingyun Wu (Founder & CEO at AG2) unpacked how multi-agent systems and orchestration frameworks are shaping the next generation of enterprise AI.
By combining an intelligent orchestration layer with a robust runtime engine, organizations can scale their AI integration capabilities while maintaining operational control.
