Nexla is joining forces with Tableau to simplify data for Analytics. Tableau users can now power their dashboards with automated, reliable data flowing from any internal or external data sources.
Just as Tableau democratized dashboards and analytics for business users, Nexla is democratizing creating and monitoring of data pipelines for business users.
Nexla’s unified data operations platform takes a universal connector approach that enables easy connectivity to data from anywhere, files, data warehouses, data lakes, APIs, and even data streams. In its no-code, collaborative user interface, analysts or data engineers can easily setup automated integration, cleansing, and transformation steps before getting data automatically published as a Hyper extract file in Tableau Server. Once the data flows are set, Nexla automatically monitors the flows for data quality and notifies if any errors occur. Nexla’s Tableau connector is available out of the box for all users, and just by linking their Tableau credentials, they can have data flowing in minutes. Users get the peace of mind that data is always up-to-date and high quality with Nexla’s advanced monitoring and error response.
By empowering analysts and business users to build their data flows themselves, getting the right data into Tableau for analysis is faster, easier, and transparent. Business users don’t need any coding knowledge, while data engineers can automate the simple tasks to focus on truly complex data challenges, accelerating the time from input to actionable insight on Tableau. Data from files, data warehouses, data lakes, APIs, webhooks and even ftp sources can start flowing in as Tableau-optimized Hyper extracts in just a few steps.
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.
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.