AceETL – Data Pipeline & Workflow Builder
AceETL is a modern, unified data engineering platform that enables organizations to design, validate, and orchestrate end-to-end data pipelines at enterprise scale. Built with governance, scalability, and usability at its core, AceETL helps teams seamlessly move data from multiple sources to various destinations—including analytics platforms and data lakes—while maintaining data quality and operational control.
Core Capabilities
Multi-Source Ingestion
Connect to enterprise, cloud, and streaming sources such as Google Analytics, SQL Server, PostgreSQL, Oracle, Amazon S3, Azure services, Snowflake, YugabyteDB, Dynamics 365, Salesforce, and Amazon SQS.
Execute pipelines individually or as coordinated workflows, delivering processed data to target warehouses, data lakes, or downstream applications.
Schema-Driven Ingestion
Simple, efficient data onboarding through schema-driven approach. Securely connect, choose full or selective ingestion, and maintain data consistency across all pipelines.
No-Code Transformations
Built-in transformations for filtering, aggregations, masking, and enrichment. Move faster without complex logic while maintaining governance and standardization.
Real-Time Processing
Support incremental loads and near real‑time processing with CDC patterns, alongside traditional batch workloads in one platform.
Visual Workflow Builder
Design end-to-end data flows with modular components. Execute reliably with scheduling, monitor in real-time, and enforce quality checks—all without complex code.
Data Validation & Governance
Rule-based and metric-based validations embedded in the pipeline lifecycle. Early anomaly detection and consistent data standards for trusted analytics.
How AceETL Works
AceETL acts as the control plane for your data pipelines, integrating seamlessly with cloud data warehouses, data lakes, SQL-based transformation tools, APIs, and streaming systems.
Why Choose AceETL