Allow services to send data to Nexla with the new incoming webhook feature
Organize your data and pipelines with tags
Configure custom notifications and set triggers. New emails provide links to affected data sets, sources, and destinations
Introducing Nexla Data Flows
Visualize end-to-end configuration of your data flows and navigate across sources, data sets, and destinations. Establishing and monitoring data pipelines are essential activities for effective DataOps. Now you can see a quick pipeline view of all your data flows in Nexla. Click into the detail view of any resource to learn more about it—where it came from, data volumes, types, attributes, and where the data is going. Pause and activate pipelines to fix issues or make edits
Nexla now supports the ability to create a webhook right in the UI for use in other services. This allows other services to easily send data to Nexla.
New advanced notifications configuration
You can now configure notifications and alerts on individual data sources, data sets, and destinations. Select when you’d like to be notified based on changes in data. Receive improved notification emails with deep links to relevant resources.
Stay organized with tagging
As inter-company data grows, so too do the number of pipelines companies must manage. Use tags (keywords) to help organize your data sets, sources, and destinations. Then search for tags to easily find the resources you are looking for. Very handing when working with colleagues across the organization!
Read the complete release notes for more product updates!
Introducing Express: The Conversational Data Engineering Platform to Simplify the Creation of Complex Data Workflows for AI Applications
Nexla, the leading integration platform for AI applications, today announced the launch of Express, a conversational data engineering platform that makes it simple for anyone to work with data.
Open Source in the Age of SaaS: What the Fivetran-DBT Merger Means for dbt Core
The Fivetran–dbt merger tests the future of open source in a SaaS-dominated world. Can dbt Core stay community-driven as corporate incentives reshape the modern data stack? Here’s what’s at stake—and what comes next.
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.