TL;DR Short answer: Klaviyo can export to a warehouse natively, but only profiles and events, and only on the separately sold Advanced KDP tier. Campaign, flow and list data still comes through the API, which is where Klaviyo ETL tools earn their place: they pull every object on one schedule and land it next to your Shopify orders and ad spend, so revenue per email becomes a join rather than a CSV export. Ten tools:
Airbyte Fivetran Stitch Data Matillion Supermetrics Funnel.io Estuary Flow Portable Hevo Data Meltano One Klaviyo constraint: API rate limits are set per endpoint and the events endpoint pages through results slowly, so a multi-year event backfill on a large account can take days. Set a recent start date for the first sync and backfill history afterwards.What is Klaviyo, and why move its data into a warehouse? Klaviyo is a marketing automation platform for ecommerce, covering email, SMS and push. Its REST API exposes profiles, lists and segments, campaigns, flows, metrics and the event stream behind them: every open, click and Placed Order event, the last of which carries revenue.
Klaviyo reporting attributes revenue using its own attribution windows, and it cannot see your other channels. Moving the data into a warehouse lets you join it to orders from Shopify and spend from Google and Meta, apply your own attribution model, and build the cohort and lifetime value analysis that Klaviyo reporting does not support.
Klaviyo does offer native warehouse sync to Snowflake, BigQuery and Databricks, but the export covers profiles and events only and is part of Advanced KDP, which is sold separately. If those two tables are all you need and Klaviyo is your only marketing source, that may be enough. Most teams also need campaign and flow metadata, and more than one source in the same warehouse.
How do the Klaviyo ETL tools compare? Tool Klaviyo connector Sync Pricing basis Hosting Airbyte Native, open source and editable Batch, incremental on events Free self-hosted; Cloud plans Cloud or self-hosted Fivetran Native, fully managed Batch, incremental Monthly active rows Cloud Stitch Data Native, Singer-based Batch Row volume tiers Cloud Matillion Flex Connector, some configuration Batch Credits by job runtime Cloud Supermetrics Native, marketing metrics only Scheduled batch Plan by sources and destinations Cloud Funnel.io Native, marketing metrics only Scheduled, via Funnel's stored copy Plan by data volume Cloud, data held by Funnel Estuary Flow Native, first-party Continuous, near real time Data volume Cloud or private deployment Portable Native, long-tail specialist Scheduled batch Flat rate per pipeline Cloud Hevo Data Native, no-code Near real-time batch Events Cloud Meltano Singer tap, community-maintained Batch Free, open source Self-hosted
Which Klaviyo ETL tools should you consider? Every tool below has a working Klaviyo connector. They differ in how much of the Klaviyo API they cover, how they price event volume, and whether they handle your other sources too.
1. Airbyte Airbyte is an open-source data integration platform with 700+ connectors and a community of 25,000+ data engineers. Its Klaviyo connector syncs profiles, lists, campaigns, flows, metrics and events, with incremental sync on the event stream so each run pulls only what changed. It loads into any Airbyte destination, including BigQuery, Snowflake, Redshift, Databricks and Postgres, and works with dbt for transformation and Airflow, Dagster or Prefect for orchestration.
What's unique about Airbyte? Every connector is open source, so you can add a missing Klaviyo endpoint or fix one yourself rather than wait on a vendor. The no-code Connector Builder and the Connector Development Kit cover sources without a pre-built connector, and if one stream fails you can resync that stream alone.
You can self-host Airbyte Core for free, or run it on Airbyte Cloud or as Enterprise Flex when you need managed infrastructure or data residency controls.
2. Fivetran Fivetran is a closed-source, managed ELT service founded in 2012, with 700+ connectors including Klaviyo. Setup takes minutes, and Fivetran handles schema changes and Klaviyo API updates, so there is little to maintain.
What's unique about Fivetran? Fivetran bills on monthly active rows. Klaviyo's event table grows with every open and click, so accounts with high send volume can see that number climb quickly. You can build custom connectors with the Fivetran Connector SDK, but you cannot edit the managed Klaviyo connector itself.
Here is a closer look at Airbyte vs Fivetran .
3. Stitch Data Stitch is a cloud ELT service with 140+ connectors, originally built on the Singer open-source spec, and its Klaviyo integration covers the core objects. Qlik acquired Talend, and Stitch with it, in 2023, and now publishes a formal migration path from Stitch to Qlik Talend Cloud. It remains quick to set up, but that direction of travel is worth weighing before committing.
Stitch has no user-defined transformations. It suits straightforward loading rather than complex pipelines, and is priced accordingly.
Here is a closer look at Airbyte vs Stitch .
4. Matillion Matillion's Data Productivity Cloud is a cloud ELT platform with 100+ pre-built connectors. Klaviyo is covered by a Flex Connector, which Matillion builds against the Klaviyo API and you can then adjust, so expect a little more configuration than with a fully pre-built source.
What's unique about Matillion? Matillion's strength is transformation inside the warehouse, pushing work down into Snowflake, Databricks or Redshift, with dbt support since v1.70. Pricing is in credits tied to job runtime. It makes most sense if you already run Matillion for transformation and want Klaviyo in the same pipelines.
Here is a closer look at Airbyte vs Matillion .
5. Supermetrics Supermetrics is built for marketers rather than data engineers. Its Klaviyo connector pulls email, SMS and flow performance, and the reason to pick it over a general ETL tool is that the same subscription covers Shopify, Google Ads and Meta Ads, so you can compare email revenue against paid spend in one model.
It loads into BigQuery, Snowflake, Redshift and Azure Synapse as well as spreadsheets and Looker Studio. The trade-off is that you get the fields the connector exposes, and it is a reporting pipeline rather than a general-purpose platform, so databases and internal systems need another tool.
6. Funnel.io Funnel is a marketing data hub with a native Klaviyo integration. Its distinguishing feature is the managed storage model: Funnel downloads source data into its own environment on a schedule, then serves exports to your warehouse or BI tool from that copy. That removes the need to run storage yourself, and it means your customer data sits with a third party, which is worth weighing if residency matters.
7. Estuary Flow Estuary Flow is a streaming-first platform with a native, first-party Klaviyo connector that reads continuously rather than on a schedule. That makes it the option here if you want flow and campaign events in near real time, for triggering downstream actions rather than reporting after the fact. Pricing is volume-based rather than per row or per seat.
8. Portable Portable is a hosted ELT service that specialises in long-tail connectors and builds new ones on request. Its Klaviyo connector loads into Snowflake, BigQuery, Redshift and Postgres, and pricing is a flat rate per pipeline rather than per row, which keeps cost predictable when Klaviyo event volume is high. It is cloud-only and covers fewer databases than the general platforms.
9. Hevo Data Hevo Data is a cloud ELT platform founded in 2017, with 150+ connectors including Klaviyo and built-in transformation applied before data reaches the destination. It is no-code and cloud-only, billed on events, which suits teams without engineering capacity who do not need self-hosting.
10. Meltano Meltano is an open-source, CLI-first platform spun out of GitLab and built on Singer taps and targets, and it reaches Klaviyo through the Singer Klaviyo tap. It suits teams who want pipelines defined in code and version-controlled. Connector maintenance depends on the Singer community, which is now largely inactive, so expect to patch the tap yourself when Klaviyo changes its API.
Only Supermetrics and Funnel.io are built around marketing data, and that is the trade-off. They know Klaviyo's metrics well but are narrower; the general platforms cover Klaviyo alongside your database and CRM, which is usually what a warehouse actually needs.
Klaviyo's REST API exposes these objects, though not every tool covers all of them:
Profiles: contact details, custom properties, consent status and location for each subscriber.Lists and segments: membership and definitions, so you can reproduce audiences in the warehouse.Campaigns: one-off sends with their channel, audience, send time and message content.Flows: automated sequences such as welcome and abandoned cart, with their actions and messages.Events and metrics: every tracked action, from Opened Email and Clicked Email to Placed Order, which carries order value. This is the largest table and the one that drives revenue analysis.Catalog and templates: product catalog items synced from your store, and email templates.How do you get Klaviyo data into BigQuery or Snowflake? There are three routes. Klaviyo's native warehouse sync exports profiles and events to BigQuery, Snowflake or Databricks if you are on Advanced KDP. Google's BigQuery Data Transfer Service also offers a Klaviyo transfer, which loads into BigQuery only. An ETL tool covers campaigns, flows and lists as well, works with any warehouse, and runs Klaviyo through the same pipeline as your other sources.
With Airbyte the process below is the same for either warehouse; you choose BigQuery or Snowflake as the destination in step 2. For a warehouse-specific walkthrough, see how to sync Klaviyo to Snowflake.
How do you start syncing Klaviyo data with Airbyte? Step 1: Set up Klaviyo as a source In Klaviyo, go to Settings, then API keys, and create a private API key with read-only access. In Airbyte, open Sources, choose New source, select Klaviyo, paste the key and set a start date for historical data. Run the connection test before saving.
Step 2: Set up a destination Choose where the data lands: a cloud warehouse such as BigQuery, Snowflake or Redshift, a data lake, a database or cloud storage.
Step 3: Configure the connection Select the streams you want, use incremental sync for events so each run only pulls new activity, and set the sync frequency. All streams are selected by default.
The process is the same in Airbyte Open Source, which you can deploy yourself , and in Airbyte Cloud, which you can try free for 14 days .
Which Klaviyo ETL tool should you choose? If profiles and events are all you need and you are already on Advanced KDP, try Klaviyo's native export first. If Klaviyo is one of several sources and you want to own the pipeline, Airbyte gives you the full Klaviyo object set in any warehouse, self-hosted or in Cloud. Choose Fivetran if you want zero maintenance and can absorb row-based pricing on a growing event table, Supermetrics or Funnel.io if your team is marketing-led and only needs reporting, and Estuary if you need events in near real time.
For a wider view beyond Klaviyo, see our guide to the top data integration tools .
Sync Klaviyo to your warehouse with Airbyte Move Klaviyo profiles, campaigns, flows and events into BigQuery, Snowflake or any of Airbyte's destinations, alongside the rest of your marketing and sales data.
Try Airbyte Cloud free for 14 days or talk to our team .
Frequently Asked Questions (FAQs) 1. How do you export data from Klaviyo? There are four routes. You can download lists, segments and profiles as CSV from the Klaviyo interface, call the REST API directly, use Klaviyo's native warehouse export if you are on Advanced KDP, or run an ETL tool that pulls every object on a schedule. CSV works for one-off exports; the other three suit ongoing analysis.
2. Does Klaviyo have a native data warehouse integration? Yes. Klaviyo can export profiles and events to Snowflake, BigQuery and Databricks, and import warehouse data back into Klaviyo. It is part of Advanced KDP, which is sold separately, and the export does not include campaign, flow or list data, which still has to come through the API.
3. How do you connect Klaviyo to Looker Studio? Looker Studio has no Google-built Klaviyo connector, so there are two options: a partner connector such as Supermetrics, or loading Klaviyo data into BigQuery with an ETL tool and connecting Looker Studio to BigQuery. The second route lets you join Klaviyo with Shopify and ad data before it reaches the dashboard.
4. Can you combine Klaviyo and Shopify data in a warehouse? Yes, and it is the most common reason to export Klaviyo at all. Load both sources into the same warehouse and match Klaviyo's Placed Order events to Shopify orders on order ID. That lets you measure email and SMS revenue against your own attribution rules rather than Klaviyo's attribution windows.
5. How long does a Klaviyo backfill take? It depends mainly on event volume. Klaviyo sets API rate limits per endpoint and the events endpoint pages through results, so profiles and campaigns load quickly while a multi-year event history on a large account can take days. Setting a recent start date for the first sync and backfilling afterwards gets reporting running sooner.
6. Is there a free way to sync Klaviyo to a data warehouse? Airbyte Open Source and Meltano are both free to self-host and have Klaviyo connectors, so you pay only for the infrastructure you run them on. Managed services such as Fivetran, Stitch and Hevo charge by rows or events, and Klaviyo's own warehouse export needs the paid Advanced KDP tier.
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