Arrowjet is now a Cross-Database Sync Tool in Python (PG, MySQL, Redshift)

📰 Dev.to · abdu masah

Learn how to use Arrowjet, a Python library for fast bulk data movement and cross-database sync, and why it matters for efficient data management

intermediate Published 28 Apr 2026
Action Steps
  1. Install Arrowjet using pip: 'pip install arrowjet' to get started with the library
  2. Configure Arrowjet to connect to your databases: 'arrowjet config --database postgresql' or 'arrowjet config --database mysql'
  3. Use Arrowjet to sync data between databases: 'arrowjet sync --source postgresql --target redshift'
  4. Test the data sync process: 'arrowjet test --sync'
  5. Apply data transformations during sync: 'arrowjet sync --transform'
Who Needs to Know This

Data engineers, data scientists, and developers who work with multiple databases can benefit from using Arrowjet to streamline data movement and synchronization across different databases, such as PostgreSQL, MySQL, and Redshift

Key Insight

💡 Arrowjet simplifies data movement and synchronization across multiple databases, making it easier to manage and analyze data

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🚀 Arrowjet: Fast bulk data movement & cross-database sync in Python! 🚀

Full Article

I've been building Arrowjet, an open-source Python library for fast bulk data movement. It started as...
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