Stream data from Klaviyo to Google Cloud SQL for SQL Server
Sync your Klaviyo data with Google Cloud SQL for SQL Server in minutes using Estuary Flow for real-time, no-code integration and seamless data pipelines.
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Klaviyo connector details
The Klaviyo connector from Estuary captures marketing and customer engagement data from Klaviyo into Flow collections. It supports a wide range of Klaviyo resources, making it easy to integrate campaign, profile, and event data into your real-time pipelines.
- Captures Klaviyo resources including Campaigns, Events, Profiles, Metrics, and Segments
- Secure setup with Private API Key authentication
- Configurable start date for incremental syncs and backfills
- Adjustable window size for efficient event backfilling
- Runs on a flexible sync interval for continuous data capture

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 Klaviyo with Google Cloud SQL for SQL Server in 3 simple steps using Estuary Flow
Connect Klaviyo as Your Real-Time Data Source
Set up a real-time source connector for Klaviyo 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 Flow guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.
Estuary Flow in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary Flow does the rest.
Why Estuary Flow is the best choice for data integration
Estuary Flow combines the most real-time, streaming change data capture (CDC), and batch connectors together into a unified modern data pipeline:

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Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Flow'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.
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Frequently Asked Questions
- Set Up Capture: In Estuary Flow, go to Sources, click + NEW CAPTURE, and select the Klaviyo connector.
- Enter Details: Add your Klaviyo connection details and click SAVE AND PUBLISH.
- Materialize Data: Go to Destinations, choose your target system, link the Klaviyo capture, and publish.
What is Klaviyo?
How do I Transfer Data from Klaviyo?
What are the pricing options for Estuary Flow?
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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Add advanced capabilities like schema inference and evolution with a few clicks. Or automate your data pipeline and integrate into your existing DataOps using Flow's rich CLI.




































