Estuary is great for real-time data capture—but teams often hit limits around transformation, orchestration, and control. Mage Pro offers an end-to-end solution for batch and streaming pipelines with Python & SQL transformations, full orchestration, and AI-powered pipeline generation.

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Why migrate from Estuary to Mage Pro?

Estuary specializes in real-time syncs with pre-built connectors. But it lacks flexibility for:
  • Transforming data beyond the destination database
  • Managing complex orchestration and dependencies
  • Debugging and testing pipelines visually
  • Git-native workflows and team collaboration
  • Full control over schema evolution and failure handling
Mage Pro fills these gaps with streaming + batch pipelines, modular blocks for ETL, and full visibility into each step of your data flow.

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✨ Mage Pro vs Estuary: Benefits Overview

CapabilityEstuaryMage Pro
Streaming support✅ Native✅ Native (Kafka, CDC, webhooks)
Batch processing⚠️ Limited✅ Full batch support
Transformations⚠️ Destination-only✅ Python, SQL, AI-generated
Orchestration❌ None✅ Full DAG-level orchestration
Visual pipeline UI⚠️ Schema-level only✅ Drag-and-drop builder
AI assistance❌✅ Sidekick for code & pipeline generation
Custom sources/targets⚠️ Plugin SDK only✅ Python-based SDK for APIs, files, DBs
Incremental loads✅ Supported✅ Native with customizable logic
Git integration❌✅ Git-backed projects & CI/CD
Environments⚠️ Single workspace✅ Dev, staging, and production
Observability⚠️ Basic logs✅ Detailed logs, retries, lineage
Hosting✅ Cloud only✅ Cloud or self-hosted
Cost⚠️ Event-volume pricing✅ Transparent usage-based plans

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🛠️ Step-by-Step Migration Instructions

  1. Audit your Estuary flows
    • Export list of flows and their source → destination pairs
    • Note any field mappings or transformations
    • Identify real-time vs batch sync requirements
  2. Set up a Mage Pro workspace
    • Sign up at Mage Pro
    • Connect a Git repo if needed for versioning and CI/CD
  3. Recreate flows as Mage pipelines
    • Estuary source → Source block in Mage Streaming Pipeline
    • Estuary destination → Destination block in Mage Streaming Pipeline
    • Custom transforms → SQL or Python blocks
    • Choose between streaming (CDC, Kafka, webhook) or batch
  4. Configure scheduling or triggers
    • Use streaming triggers (Kafka, webhooks) or batch schedulers (cron)
    • Add event-based triggers for more control
  5. Validate pipeline output
    • Run pipelines in staging
    • Preview outputs, compare with Estuary’s destination tables
    • Verify schema integrity, incremental updates, and deduplication
  6. Go live and monitor
    • Enable alerts, retry logic, and audit logging
    • Use observability tools to track pipeline health and performance
    • Scale pipeline workers automatically via Kubernetes or ECS

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🤖 Use AI Sidekick to Migrate Faster

Estuary flows are often schema-mapped and repetitive—perfect for AI Sidekick to help convert into Mage pipelines.

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🔧 How to Use It

  1. Open a Mage Pro pipeline and click “Ask AI”
  2. Paste in an Estuary flow JSON or describe your flow
  3. Ask: “Convert this Estuary flow into a Mage pipeline.”
  4. The AI will:
    • Create Extract/Load blocks
    • Generate SQL or Python for transforms
    • Add scheduling and triggers
  5. Insert and run the pipeline directly in your workspace

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🧠 Tips for Migrating Streaming Workflows

  • Use Kafka Extract blocks or webhook listeners for streaming sources
  • Combine streaming + batch in hybrid pipelines
  • Use block-level caching to test transforms on historical data
  • Handle schema evolution with data validation and pipeline tests

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✅ After Migration: What You Gain

  • One platform for streaming + batch pipelines
  • Visual editor with modular, testable blocks
  • AI-powered pipeline creation and debugging
  • Git-native development & multi-environment deployments
  • Better cost control and full observability
  • Built-in orchestration and transformation logic
Estuary handles streams. Mage Pro handles everything—with visibility, scalability, and flexibility built-in.
👉 Start Migrating to Mage Pro