We implement Hightouch to sync your Snowflake or Databricks warehouse directly to Braze, ad platforms, and every tool in your stack — no data duplicated into a separate CDP.
Reverse ETL syncs failing silently with no monitoring in place, leaving destination tools working from stale data without anyone realizing it.
Ad hoc SQL models with no consistent naming or documentation, making audience definitions hard to audit or hand off to other team members.
Sending far more fields than any destination actually needs, creating unnecessary compliance exposure and slower, more expensive syncs.
Batch-only sync schedules for data that genuinely needs real-time activation -- like cart abandonment -- missing the window where the message would actually matter.
Warehouse customer IDs that don't cleanly map to the identifiers each destination expects, causing silent sync failures or duplicate records downstream.
Sync definitions changed directly in the UI with no change history, making it impossible to know who changed what when a destination starts receiving wrong data.
We build well-structured, documented SQL models that define your audiences and customer attributes cleanly in the warehouse — the foundation every sync depends on.
We configure sync schedules matched to actual business need — real-time for time-sensitive triggers, batch for less urgent updates, balancing freshness against cost.
We connect and field-map every destination that matters — Braze, ad platforms, Salesforce — sending only the data each one genuinely needs.
We set up monitoring so sync failures are caught and addressed immediately, not discovered weeks later when a campaign runs on stale data.
We audit sync performance, model accuracy, and destination usage over time as your data sources and activation needs evolve.
This is the level of clarity a well-built sync definition requires -- a named model, a clear primary key, and an explicit field mapping.
SELECT customer_id, email, last_order_date, ltv FROM customer_summary WHERE last_order_date < CURRENT_DATE - 60 AND ltv > 200
Primary Key: email -> external_id | ltv -> custom_attribute.lifetime_value | Schedule: every 15 min
Named, documented, version-controlled -- the difference between a sync anyone on the team can audit and one only its original author understands.
The opposite direction of traditional ETL — data flows OUT of the warehouse to operational tools, not just in.
If Snowflake or Databricks is already running, adding Hightouch is often the fastest path to real customer data activation.
“Rackwave Technologies has significantly improved our marketing performance while providing reliable cloud services. We’ve been using their solutions for a while now, and the experience has been seamless, scalable, and results-driven.”
David Larry
Founder & CEOReverse ETL moves data FROM your warehouse OUT to operational tools — the opposite direction of traditional ETL, which moves data into the warehouse for analysis. Hightouch is a reverse ETL platform that syncs modeled, cleaned audience data from Snowflake or Databricks to destinations like Braze, ad platforms, and CRMs.
Yes — Hightouch specifically syncs data that already lives in your warehouse, so Snowflake or Databricks (or another supported warehouse) needs to be in place first. If you don't have one yet, we can help implement it as part of the same engagement.
Segment collects event data at the source (website, app, server) and routes it forward in real time. Hightouch takes data already sitting in your warehouse — which might include Segment data alongside CRM, product, and other business data — and syncs it to destinations based on SQL models you define. Many composable stacks use both together.
Both, depending on the destination and use case — Hightouch supports scheduled batch syncs for less time-sensitive updates and near-real-time sync for scenarios like cart abandonment where timing genuinely matters. We configure this based on your actual activation needs, not a one-size-fits-all schedule.
We build the SQL models that define your audiences and sync logic as part of implementation. If you have internal analysts, we can also train them to maintain and extend these models going forward, rather than creating a dependency on us for every future change.
Hightouch has native Braze destination support — we configure the sync to map warehouse-modeled customer attributes and audience segments directly into Braze user profiles and segments, so Braze campaigns can target based on your full warehouse data, not just what Braze collects natively.
With proper monitoring in place (which we set up as part of implementation), failed syncs trigger alerts so the issue gets caught and fixed quickly, rather than destinations silently working from stale data for days or weeks without anyone noticing.
Generally, the combined cost of warehouse compute plus a reverse ETL tool like Hightouch is lower than a separate packaged CDP platform license, particularly for organizations already running a warehouse for other purposes. Exact comparison depends on your specific data volume and destination count.
Yes — both are reverse ETL platforms with substantial feature overlap. The right choice often comes down to specific destination support, pricing model fit for your scale, and team preference for the modeling interface. We'll walk through the honest comparison for your situation.
Reach out for a free assessment — we'll look at your current warehouse situation and activation needs and give you an honest scope and recommendation.
This is exactly what proper primary key mapping design prevents -- we define explicit matching logic (usually email or a stable customer ID) so records reconcile correctly even when systems label the same person differently. Getting this wrong is the most common cause of duplicate or orphaned records in a reverse ETL setup.
Yes -- Hightouch supports managing sync definitions as code (via its Terraform provider or similar), which we set up for teams wanting proper change history and review process rather than direct UI edits with no audit trail.