Large-Scale Data Workloads with Ease
Run thousands of concurrent flows, move terabytes of data, and integrate with any system — all from a single, scalable platform.
Why it matters: High-volume environments demand performance and reliability. Etlworks is designed to handle enterprise-scale workloads, enabling teams to process massive amounts of data, automate complex workflows, and ensure system-wide scalability without compromise.
- Architecture and Deployment
- Running Etlworks on-premise
- Large-Scale Deployments
- SOC 3 Report (SOC 2 Report available after NDA)
- Security Policies
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Why Etlworks
Cluster-Ready Architecture: Run multi-node deployments in cloud, on-prem, or hybrid environments
Extreme Throughput: Process millions of records per hour across APIs, files, and databases
Built for Orchestration: Manage complex workflows with scheduling, conditions, and parallel execution
Automation at Scale: Deploy reusable templates, environment configs, and CI/CD integrations
Resilient by Design: Includes retries, alerts, error handling, and detailed monitoring
Enterprise-Grade Security: Access controls, audit logging, encryption, and deployment flexibility
How Enterprises Run Etlworks at Full Capacity

OpenGov uses Etlworks as a system of record to ingest transactional data
from hundreds of customer environments into their operational database. With thousands of
complex pipelines, hundreds of deployed agents, and hundreds of millions of records
processed daily, Etlworks powers large-scale, multi-tenant data integration for local
governments.
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the case study
NBCUniversal uses Etlworks to ingest metadata from external sources into
MongoDB and internal systems. Running across multiple 4-node clusters, the platform handles
millions of API calls daily with advanced error handling and high availability—powering
scalable, media-grade data workflows.
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the case study
Universal Music Group uses Etlworks to stream real-time transactional data
from MySQL to AS400. Deployed across multiple clusters, the platform supports CDC with
complex transformations and transactional consistency at enterprise scale.
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the case study

QuickFee processes hundreds of millions of records daily through thousands
of pipelines and deployed agents. Etlworks powers real-time payment processing, with secure
local integration behind firewalls and centralized reporting in the cloud.
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the case study