
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.
A startup from Groningen, the Netherlands that is founded by Daniël Sanders, Bastiaan Sanders, Tiemen van der Tuijn, Naida Sadžak.
This page is designed to help you find out whether Yres is good and if it is the right choice for you.
Yres is a data warehouse automation platform for Microsoft Azure, developed by Plainwater in the Netherlands.
You don't write pipelines; you add metadata. Configure a source, pick the tables and the load type, and Yres generates the Azure Data Factory pipelines, the staging and history tables and the load schedule. Every load is logged and monitored, and any table can be rolled back to a point in time.
What it does - Loads sources incrementally with full history (SCD2) into an Azure SQL data warehouse - Own connectors for AFAS and Exact Online, the most common Dutch ERPs, plus SAP (via SAP Analytics Cloud, Datasphere and Business Data Cloud), Salesforce, Business Central, SQL Server, Oracle, PostgreSQL, REST APIs, files on SFTP/SharePoint and more - Optional Parquet change feed to your data lake for Fabric or Databricks - Monitoring, load status, retention and health checks built in
How it runs Everything runs inside the customer's own Azure subscription: the data factory, the database, the metadata and the keys. Plainwater never holds your data. If you stop the subscription, you receive a licence key and the installation keeps running.
Pricing Fixed and public, from EUR 350 per month, no per-row or per-connector fees: https://yres.eu/en/pricing
Who it is for Data teams on Azure that want a governed warehouse under Power BI without building and maintaining pipelines by hand. Used by, among others, Aviko, Paragon Customer Communications and Koninklijke Visio.
Plainwater is an official partner of AFAS, Exact Online and SAP.
Documentation: https://yres.eu/en/wiki/ Comparison with TimeXtender and AnalyticsCreator: https://yres.eu/en/compare
Listed in
Platform
Microsoft Azure: Azure Data Factory + Azure SQL Database, in your own subscription
Approach
Metadata-driven: configure sources and tables, pipelines are generated
Load types
Full, incremental (delta), change feed, with SCD2 history on every table
Connectors
AFAS, Exact Online, SAP (SAC, Datasphere, BDC), Salesforce, Business Central, SQL Server, Oracle, PostgreSQL, REST APIs, files via SFTP/SharePoint
Rollback Capability
Any table back to a point in time, including history and surrogate keys
Monitoring
Load status, health checks and retention built in; no separate tooling
Data lake
Optional Parquet change feed for Fabric or Databricks
Pricing Transparency
Fixed and public, from EUR 350 per month, no per-row or per-connector fees
Vendor lock-in
None: everything runs in your own Azure subscription, and if you stop you receive a licence key so loading keeps working
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.
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.
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.
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.
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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Check the traffic stats of Yres on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
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