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On-premises installer
Sign inAmazon Redshift Integration with Etlworks
Etlworks makes it easy to move data in and out of Amazon Redshift. Whether you’re building data warehouses, powering BI dashboards, or streaming real-time events, Etlworks supports the full range of ETL and reverse ETL scenarios.
Why it matters: Redshift is a core component of many cloud analytics stacks. Etlworks enables fast, reliable, and bidirectional data integration with Redshift, helping teams build insights faster and keep data consistently up to date.
Technical Details & Security
- Get Started with Amazon Redshift
- SOC 3 Report (SOC 2 Report available after NDA)
- Security Policies
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Why Etlworks
Native Redshift Support: Bulk load, stream, or query data in Amazon Redshift using native integration and optimized performance.
ETL and Reverse ETL: Move data into and out of Redshift from databases, APIs, files, SaaS, and cloud storage.
Real-Time CDC Pipelines: Ingest database changes into Redshift in near real-time using Change Data Capture.
Multi-Tenant Architecture: Manage separate workloads across environments, regions, or teams, all from a single platform.
Automated Workflows: Build reliable, scheduled, or event-driven data pipelines with built-in error handling and alerting.
On-Premise and Cloud: Deploy Etlworks in your own environment or use our fully managed cloud service.
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How Companies Use Etlworks for Amazon Redshift Integration
Sermo uses Etlworks to load over half a billion records per day from SQL Server, Marketo, Salesforce, and Smartsheet into Amazon Redshift in near real-time.
Read the Case Study
XSOLIS processes massive X12 messages and loads them into Redshift using Etlworks. They also use Etlworks to streamline integration with Salesforce.
Read the Case Study
TradeDoubler uses Etlworks across regional branches to process large volumes of XML and flat files, and load structured data into Redshift.
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PCCA runs Etlworks on-premise to power large-scale ETL workflows, including delivering curated datasets to Amazon Redshift for analytics.
Read the Case Study