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Sign inModern Data Stack Integration with Etlworks
Support your entire data stack, from ingestion to insights, using a single powerful platform. With Etlworks, there’s no need to stitch together multiple tools.
Why it matters: Managing fragmented tools slows teams down and adds complexity. Etlworks unifies ingestion, transformation, orchestration, and delivery in one platform, so data teams can move faster, reduce overhead, and focus on delivering insights.
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Why Etlworks
All-in-One Platform: Etlworks eliminates the need for separate tools by supporting all major integration techniques.
Real-Time and Batch: Build ETL, CDC, and streaming workflows within a single platform.
Reverse ETL: Push data from your cloud warehouse back into SaaS apps and APIs for activation.
API Integration and Management: Handle thousands of API calls daily, transform and enrich data inline.
SaaS Integration: Connect to Salesforce, HubSpot, NetSuite, and other cloud apps with ease.
Cloud Warehouse Ready: Built-in support for Snowflake, Redshift, BigQuery, and more.
Scalable and Reliable: Handle massive data volumes with confidence, thanks to advanced replication and orchestration features.
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How Companies Use Etlworks to Power the Modern Data Stack
Ambyint synchronizes CDC data from multiple MongoDB databases into Snowflake and streams real-time IoT data from MQTT brokers. Etlworks empowers their team to deliver actionable insights with near-zero latency.
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NBCUniversal built scalable pipelines that process data from hundreds of APIs into MongoDB and internal systems, driven by event-based orchestration and powerful JavaScript transformations in Etlworks.
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XSOLIS uses Etlworks to process massive X12 files and load them into Amazon Redshift, while also integrating with Salesforce for a unified data strategy across EDI and SaaS platforms.
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Aiwyn implemented high-performance ETL and change replication across hundreds of SQL Servers and SaaS APIs into BigQuery, streamlining operations with reusable templates and real-time flows.
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