TL;DR Short answer: the best Braze ETL tools combine two kinds of data. Braze Currents streams message engagement and user behaviour events as they happen, while the Braze REST API returns campaigns, canvases, segments and analytics on request. Most warehouse setups need both. Seven Braze ETL tools compared:
Airbyte Braze Currents Fivetran Braze Snowflake Data Sharing Braze dashboard and CSV exports Zapier Custom code with the Braze API The Braze constraint: Currents has no historical backfill and drops events if your bucket is unavailable or credentials expire, while the REST API returns metadata and aggregated analytics rather than every message. Plan Currents early and keep a second source for history. Braze ETL tools and Braze integrations move campaign, canvas, segment and message engagement data out of Braze and into a cloud data warehouse or BI tool. Lifecycle, CRM and growth teams use them to join messaging with product analytics, subscriptions and revenue.
Why use Braze ETL tools instead of Braze analytics? Braze analytics and reports show sends, opens, clicks and conversions for each campaign and canvas. CRM and growth teams usually need more: incremental lift against control groups, revenue and retention by journey, fatigue across channels, and Braze engagement joined with product events and billing. That needs Braze data in a warehouse, which is what Braze ETL tools are for.
How do the Braze ETL tools compare? Tool Best destination Sync method Deployment Pricing model Airbyte Warehouse, lake or database Full refresh or incremental API sync Cloud, self-hosted, Enterprise Flex Free self-hosted; Cloud volume-based; Pro and Flex capacity-based Braze Currents S3, Azure Blob or GCS Continuous event stream (Avro) Inside Braze Braze add-on Fivetran Warehouse Currents files plus API Cloud Monthly active rows Snowflake Data Sharing Snowflake Shared data, no pipeline Inside Braze and Snowflake Braze add-on Braze exports CSV files Manual exports Inside Braze Included Zapier Other apps Event triggers Cloud Tasks per month Custom code Anywhere you send it Whatever you build Wherever you run it Free, engineering time
Which Braze ETL tools should you consider? Seven Braze ETL tools, from warehouse ELT to Braze's own exports:
1. Airbyte Airbyte is one of the leading open-source ELT tools , with 700+ connectors, and among Braze ETL tools it is the most flexible on destinations. Its Braze source uses your REST API key, REST endpoint and a start date to sync campaigns, canvases, cards and segments with their analytics, plus events, event analytics and daily KPIs for new users, active users and uninstalls.
Streams support full refresh or incremental append, within Braze's API rate limits. Airbyte runs self-hosted, on Airbyte Cloud or as Enterprise Flex, so Braze metadata and analytics can sit next to product and revenue data. For message-level events, pair it with Currents.
Pros Cons Campaigns, canvases, cards and segments with analytics Aggregated analytics, not every message event Daily KPIs for new, active and uninstalled users Bound by Braze API rate limits Braze next to 700+ other sources Pair with Currents for message-level data
2. Braze Currents Braze Currents streams message engagement events, such as sends, opens, clicks and conversions, and customer behaviour events to Amazon S3, Azure Blob Storage or Google Cloud Storage as Avro files, which nearly every major warehouse can load. Data streams continuously, so it is the closest Braze gets to real-time warehouse data. For warehouse-side loading, see our guide to Snowflake ETL tools .
Pros Cons Every message engagement event, continuously No historical backfill before setup Avro files with schema evolution Events dropped if the bucket is unavailable or credentials expire S3, Azure Blob or GCS Paid add-on; you build warehouse loading
3. Fivetran Fivetran is one of the managed Braze ETL tools: its connector reads Currents event files from S3 or GCS and uses the Braze REST API for campaign, canvas and card metadata, then loads both into one warehouse schema with deletes captured on key tables. It can sync history for as long as your Current has existed. Fivetran completed its merger with dbt Labs in June 2026.
Pros Cons Combines Currents events and API metadata Needs Currents for event tables Captures deletes on key tables Monthly active row pricing grows with events Managed schema and syncs History limited to how long Currents has run
4. Braze Snowflake Data Sharing For Snowflake customers, Braze Snowflake Data Sharing exposes Braze event data directly inside your Snowflake account, so there is no pipeline to build or maintain. Braze recommends it when you need more history than Currents retains. It only works with Snowflake, and joining it with other sources still happens in your warehouse.
Pros Cons No pipeline to build or run Snowflake only Event history queryable in place Braze add-on Joins with other Snowflake data Less control over table structure
5. Braze dashboard and CSV exports Before choosing Braze ETL tools, check the built-in options. Braze reports, dashboards and CSV exports cover campaign, canvas and segment performance and user lists. They answer one-off questions quickly, but exports are manual snapshots that cannot be joined with other systems automatically.
Pros Cons Built in, with no extra tools Manual snapshots only Campaign, canvas and segment reports Aggregated rather than event-level Quick answers for CRM teams Cannot be joined with other data automatically
6. Zapier Zapier is a workflow automation tool that can connect Braze to other apps through webhooks and the Braze REST API, for example to track users or events from form tools and CRMs. It suits small operational flows, but it does not backfill history or model data for analytics.
Pros Cons Fast no-code setup for simple flows No historical backfill Connects Braze to many other apps Task-based pricing grows with activity Useful for operational automation Not built for analytics-grade pipelines
7. Custom code with the Braze API When no Braze ETL tools fit a narrow need, you can call the API yourself. The Braze REST API exports campaign, canvas, segment and KPI data, and Braze webhooks send messages to your endpoints from campaigns and canvases. Custom code suits targeted extracts, but you own authentication, rate limits, pagination and maintenance.
Pros Cons Full control over endpoints and fields You own pagination, retries and scheduling Webhooks from campaigns and canvases Rate limits vary by endpoint No licence cost Ongoing maintenance
What is Braze Currents and how does it export data? Braze Currents is Braze's streaming export. You create a Current, choose S3, Azure Blob or GCS, add credentials and pick which message engagement and customer behaviour events to send. Braze writes Avro files continuously, organised by event type and date, and your warehouse loads them, for example through a Snowflake external stage. Keep credentials current and the bucket available, because missed events are not resent.
How do you get Braze data into Snowflake or BigQuery? Most of these tools load either warehouse. For Snowflake, choose between Snowflake Data Sharing and loading Currents files from S3. For BigQuery, send Currents to GCS and load the Avro files. Add Airbyte or Fivetran for campaign and canvas metadata, so events can be joined to the journeys that sent them. Teams that also analyse product usage should see our guides to Amplitude ETL tools and Mixpanel ETL tools .
What should you check before syncing Braze? Whichever Braze ETL tools you choose, most pipeline problems come from Currents setup, API limits and identity. Check these first:
Currents early: Currents only exports events from the day it is turned on. Set it up before you need the data.Credentials and buckets: if bucket credentials expire or the bucket is unavailable, Currents stops sending and events can be lost. Monitor the connector.REST API key and endpoint: Airbyte and custom code need a REST API key with the right permissions and the REST endpoint for your Braze instance.Rate limits: Braze applies rate limits by request type. Schedule API syncs so they do not compete with production API traffic.Avro schema changes: new fields are added as optional, but removed or changed fields are breaking. Version your loading jobs by the Currents version in the file path.Identity: join Braze external user IDs to your product and billing identifiers, not email alone.Braze exposes lifecycle messaging data, including:
Message engagement events: sends, deliveries, opens, clicks, bounces and unsubscribes across email, push, SMS and in-app. Customer behaviour events: sessions, custom events, purchases and first sessions. Campaigns and canvases: journeys, steps, variants and their analytics. Segments: audience definitions and segment analytics. Content cards: cards and card analytics. Daily KPIs: new users, daily active users and app uninstalls. How do you start pulling data from Braze? If you decide to test Airbyte, setting up a Braze pipeline takes three steps.
Step 1: Set up Braze as a source In Braze, create a REST API key with read permissions for campaigns, canvases, segments and KPIs, and note your REST endpoint. In Airbyte, open Sources, choose New source, select Braze and enter the endpoint URL, API key and a start date.
Step 2: Set up a destination Pick where your Braze data should land: a warehouse such as Snowflake, BigQuery or Databricks, a database, or another Airbyte destination.
Step 3: Configure the connection Select campaigns, canvases, segments, cards, events and KPI streams, use incremental sync where available, and schedule daily runs. The process is the same whether you deploy Airbyte Open Source or start with Airbyte Cloud .
Which Braze ETL tool should you choose? The right Braze ETL tools depend on the detail you need. For every message event, turn on Braze Currents; on Snowflake, consider Data Sharing for history. For campaign, canvas and KPI data next to other sources, use Airbyte for broad destinations or Fivetran for a managed pipeline that also reads Currents. Braze exports cover quick reports, and Zapier covers simple automations. Teams comparing lifecycle platforms should also see our guides to Customer.io ETL tools and Iterable ETL tools .
For a wider view of the market, see our guide to the best data integration tools .
Sync Braze to your warehouse with Airbyte Airbyte is one of the open-source Braze ETL tools. Replicate Braze campaigns, canvases, segments and KPIs next to your product, billing and 700+ other sources, self-hosted, on Airbyte Cloud or with Enterprise Flex.
Try Airbyte Cloud free for 14 days or talk to our team .
Frequently Asked Questions (FAQs) 1. What are the best Braze ETL tools? The best Braze ETL tools depend on the detail you need. Braze Currents and Snowflake Data Sharing provide message-level events, Airbyte and Fivetran bring campaign and canvas data into the warehouse next to other sources, and Braze exports suit one-off reports.
2. What is Braze Currents? Braze Currents is Braze's streaming export of message engagement and customer behaviour events. It writes Avro files continuously to Amazon S3, Azure Blob Storage or Google Cloud Storage, but does not backfill events from before it was turned on.
3. Can Braze send data to Snowflake? Yes. You can use Braze Snowflake Data Sharing to query Braze data directly in Snowflake, or load Currents Avro files from S3 into Snowflake through an external stage.
4. What is Braze Cloud Data Ingestion? Cloud Data Ingestion works in the opposite direction: it syncs user attributes and events from your warehouse into Braze. To get data out of Braze, use Currents, Data Sharing or an ELT tool.
5. What does the Braze REST API export? The Braze REST API exports campaigns, canvases, segments, content cards and KPI analytics, using a REST API key and the endpoint for your Braze instance. It does not return every individual message event.
Suggested reads Customer.io ETL Tools
Iterable ETL Tools
Amplitude ETL Tools
Mixpanel ETL Tools
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