Beetl provides a data‑integration platform that moves data from source systems to validated destinations while preserving the original source record. Users define explicit, version‑controlled SQL transformations that run in a single runtime handling scheduling, state management, deployment, and recovery, supporting databases, ERP systems, files, and spreadsheets. The platform aims to eliminate integration debt by offering a clear, source‑faithful copy and reliable delivery to warehouses, staging tables, or dashboards.
Funding
Funding not disclosed
Founders
Product
Problem
Teams building custom data integrations often create one‑off pipelines that become undocumented, hard to maintain, and prone to drift, leading to hidden integration debt and frequent breakage. Without a unified platform, each new source‑to‑destination connection requires separate code, scheduling, validation, and recovery logic, increasing operational overhead and risk.
Solution
Beetl offers a single runtime platform that handles the entire data flow lifecycle—from read‑only extraction of source systems (databases, ERP, files, spreadsheets) through explicit, versioned SQL transformations to validated delivery in warehouses, staging tables, or dashboards. The platform automatically manages scheduling, state tracking, deployment, and recovery, ensuring source‑faithful copies are retained for auditability. By keeping mappings explicit and versioned, Beetl makes transformations inspectable and reproducible, while its read‑only default protects source systems. Customers receive a fully operated, versioned flow that can be scoped and delivered within 4–8 weeks, eliminating the need to build and maintain separate integration stacks.
Target Audience
Primary customers are data engineering and integration teams in European enterprises that need reliable, maintainable pipelines between operational systems and analytics destinations.
Features
- Read‑only connectors for databases, ERP systems, files, spreadsheets, and local systems, preserving source data unchanged
- Explicit, versioned SQL for transformation logic, keeping mappings transparent and auditable
- Built‑in validation that produces certified output before data reaches the destination
- Unified runtime that handles scheduling, state management, deployment, and automated recovery/replay
- Delivery to multiple targets including data warehouses, staging tables, and BI dashboards
- EU‑hosted, GDPR‑compliant infrastructure with isolated credential handling and optional local site connector for internal systems