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Officially verified details Yres

Data warehouse automation for Microsoft Azure. Yres generates Azure Data Factory pipelines, tables and SCD2 history from metadata, inside your own Azure subscription. Public pricing from EUR 350 a month.

Yres

Yres Reviews and Details

This page is designed to help you find out whether Yres is good and if it is the right choice for you.

Screenshots and images

  • Dashboard //
    2026-09-29
  • Workflow //
    2026-09-29
  • Sources //
    2026-09-29
  • Load monitor //
    2026-09-29
  • CICD //
    2026-09-29

Features & Specs

  1. Platform

    Microsoft Azure: Azure Data Factory + Azure SQL Database, in your own subscription

  2. Approach

    Metadata-driven: configure sources and tables, pipelines are generated

  3. Load types

    Full, incremental (delta), change feed, with SCD2 history on every table

  4. Connectors

    AFAS, Exact Online, SAP (SAC, Datasphere, BDC), Salesforce, Business Central, SQL Server, Oracle, PostgreSQL, REST APIs, files via SFTP/SharePoint

  5. Rollback Capability

    Any table back to a point in time, including history and surrogate keys

  6. Monitoring

    Load status, health checks and retention built in; no separate tooling

  7. Data lake

    Optional Parquet change feed for Fabric or Databricks

  8. Pricing Transparency

    Fixed and public, from EUR 350 per month, no per-row or per-connector fees

  9. Vendor lock-in

    None: everything runs in your own Azure subscription, and if you stop you receive a licence key so loading keeps working

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Questions & Answers

As answered by people managing Yres.
  1. Who are some of the biggest customers of Yres?

    • Aviko
    • Paragon Customer Communications
    • Koninklijke Visio
    • 'thuis
  2. What makes Yres unique?

    Two things. First, everything runs inside the customer's own Azure subscription: the data factory, the database, the metadata and the keys. We never host or touch your data, and if you stop, you receive a licence key so the installation keeps loading. Second, Yres has its own connectors for AFAS and Exact Online, the two most common Dutch ERP systems, next to SAP, Salesforce, databases and REST APIs. Pricing is fixed and public.

  3. Why should a person choose Yres over its competitors?

    Most data warehouse automation tools either host your data on their platform or price per row, per connector or per user. Yres does neither: one fixed monthly price, your own Azure tenant, no lock-in. Compared with building it yourself on Azure Data Factory and dbt, you get generated pipelines, SCD2 history, rollback, monitoring and retention out of the box instead of maintaining them by hand. A sourced comparison with TimeXtender and AnalyticsCreator is on yres.eu.

  4. How would you describe the primary audience of Yres?

    Data and BI teams of mid-sized organisations on Microsoft Azure that want a governed data warehouse under Power BI without writing and maintaining pipelines by hand. Typical users run AFAS, Exact Online, SAP or Business Central and need their data historised and query-ready in Azure SQL. Strong footprint in the Netherlands: manufacturing and food, housing associations, healthcare and business services.

  5. What's the story behind Yres?

    Yres started as IRIS, built by Plainwater, a Dutch business intelligence consultancy, for its own data warehouse projects. After rebuilding the same load logic at client after client, the team turned it into a metadata-driven engine on Azure Data Factory and Azure SQL. In 2026 the product was renamed Yres, moved to yres.eu and listed on the Microsoft Marketplace. Existing installations did not change; the name and the website did.

  6. Which are the primary technologies used for building Yres?

    Azure Data Factory for orchestration and loading, Azure SQL Database with T-SQL for the metadata engine, staging and history layers, Azure Key Vault for credentials, and Parquet on Azure Data Lake Storage for the optional change feed. Configuration runs through a web application; deployment is via DACPAC and Git-integrated Data Factory publishing.

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Is Yres good? This is an informative page that will help you find out. Moreover, you can review and discuss Yres here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.