Nowl Description
Nowl serves as a semantic access layer that enables existing enterprise software and databases to be queried using business-friendly terms for AI applications. Rather than granting unrestricted SQL access to an AI, Nowl effectively translates business inquiries into validated, read-only query plans while also providing a clear explanation of how each answer was derived, ensuring that results are understandable and not merely opaque. Additionally, a privacy layer is implemented to filter data prior to transmission to a language model, enhancing security. Nowl operates in a self-hosted environment (with the exception of the language model), offers the option for EU data residency, and does not alter any existing systems. It interfaces with assistants like Claude through MCP, making it versatile for various applications. Typical scenarios include addressing ad-hoc inquiries from departments such as sales, finance, service, and management that fall outside the scope of standard reports. Designed specifically for mid-sized companies navigating complex software ecosystems, Nowl is currently undergoing a pilot program to assess its effectiveness. This innovative approach aims to streamline data access while prioritizing privacy and transparency.
Nowl Alternatives
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Its Governed Control Model connects business meaning, data structures, transformation rules, dependencies, lineage and technical implementation in one controlled project model. Data teams design the required architecture in AnalyticsCreator, then generate native Microsoft assets from that design.
Generated outputs can include SQL Server objects, SSIS packages, Azure Data Factory pipelines, supported Microsoft Fabric components, deployment artefacts and Power BI semantic models. AnalyticsCreator supports dimensional, 3NF and hybrid modelling approaches together with ingestion, transformations, delta loading, historisation, Slowly Changing Dimensions, snapshots and repeatable data-processing patterns.
Because generated outputs are native Microsoft technology, no AnalyticsCreator runtime is required in production. Organisations retain ownership of the resulting implementation and can integrate generated assets into Git, Azure DevOps and CI/CD workflows.
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Databao
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dbt
dbt Labs is redefining how data teams work with SQL. Instead of waiting on complex ETL processes, dbt lets data analysts and data engineers build production-ready transformations directly in the warehouse, using code, version control, and CI/CD. This community-driven approach puts power back in the hands of practitioners while maintaining governance and scalability for enterprise use.
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Company Details
Company:
Gerling Solutions
Year Founded:
2019
Headquarters:
Germany
Website:
gerling-solutions.de/nowl/
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