Stream data from Incident.io to Google Cloud SQL for SQL Server
Sync your Incident.io data with Google Cloud SQL for SQL Server in minutes using Estuary for real-time, no-code integration and seamless data pipelines.
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Incident.io connector details
The Estuary Incident.io connector syncs incident management data from Incident.io into real-time collections. It enables continuous visibility into incidents, timelines, roles, and severity data for analysis and operational insight.
Each Incident.io resource is captured into a separate collection and refreshed on a configurable interval. Authentication is handled using an API key, making setup straightforward while supporting reliable ingestion for reporting, audits, and reliability workflows.
- Captures incident, severity, and timeline data from Incident.io
- Separate collections per resource for structured incident modeling
- Supports catalog metadata, custom fields, and user records
- Configurable sync intervals for controlled data freshness
- Secure API key authentication for simplified access management

Google Cloud SQL for SQL Server connector details
Connecting Google Cloud SQL for SQL Server with Estuary lets you automatically sync data from Flow collections into SQL Server tables hosted on Google Cloud. This integration enables teams to materialize real-time data for analytics, reporting, and application backends without maintaining complex pipelines.
- Fully managed setup: Works with any SQL Server instance hosted on Google Cloud SQL (2017 or later)
- Automated table creation: Flow generates and updates tables automatically based on your collection schema
- Flexible connectivity: Supports both direct public IP access and secure SSH tunneling through a Google Cloud VM
- Easy user setup: Create a dedicated database user (
flow_materialize) with control privileges using standard SQL commands - Delta update support: Choose between standard merge operations or delta updates for more efficient synchronization
- Secure configuration: Password-based or SSH key–based authentication ensures safe communication between Flow and your SQL Server environment
💡 Tip: Use SSH tunneling if your instance does not allow public IP access. Set the address to _127.0.0.1:5432_ and provide your VM credentials under the _networkTunnel_ configuration.
How to integrate Incident.io with Google Cloud SQL for SQL Server in 3 simple steps using Estuary
Connect Incident.io as Your Real-Time Data Source
Set up a real-time source connector for Incident.io in minutes. Estuary captures change data (CDC), events, or snapshots — no custom pipelines, agents or manual configs needed.
Configure Google Cloud SQL for SQL Server as Your Target
Choose Google Cloud SQL for SQL Server as your target system. Estuary intelligently maps schemas, supports both batch and streaming loads, and adapts to schema changes automatically.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.
Estuary in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary does the rest.
Why Estuary is the best choice for data integration
Estuary combines the most real-time, streaming change data capture (CDC), and batch connectors together into a unified modern data pipeline:

What customers are saying
Increase productivity 4x
With Estuary companies increase productivity 4x and deliver new projects in days, not months. Spend much less time on troubleshooting, and much more on building new features faster. Estuary decouples sources and destinations so you can add and change systems without impacting others, and share data across analytics, apps, and AI.
Spend 2-5x less
Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Estuary's unique ability to mix and match streaming and batch loading has also helped customers save as much as 40% on data warehouse compute costs.

Incident.io to Google Cloud SQL for SQL Server pricing estimate
Estimated monthly cost to move 800 GB from Incident.io to Google Cloud SQL for SQL Server is approximately $1,000.
Data moved
Choose how much data you want to move from Incident.io to Google Cloud SQL for SQL Server each month.
GB
Choose number of sources and destinations.
Why pay more?
Move the same data for a fraction of the cost.



Frequently Asked Questions
- Set Up Capture: In Estuary, go to Sources, click + NEW CAPTURE, and select the Incident.io connector.
- Enter Details: Add your Incident.io connection details and click SAVE AND PUBLISH.
- Materialize Data: Go to Destinations, choose your target system, link the Incident.io capture, and publish.
What is Incident.io?
How do I Transfer Data from Incident.io?
What are the pricing options for Estuary?
Estuary offers competitive and transparent pricing, with a free tier that includes 2 connector instances and up to 10 GB of data transfer per month. Explore our pricing options to see which plan fits your data integration needs.
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