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Understand your customers to deliver better experiences.

The leading Composable CDP that activates warehouse data directly into business tools without extra storage.

Hightouch is the pioneer of the 'Warehouse-Native' architecture, specifically designed to replace traditional, siloed Customer Data Platforms (CDPs) with a composable layer. By 2026, Hightouch has solidified its position as the market leader in Reverse ETL, enabling enterprises to leverage Snowflake, BigQuery, and Databricks as their primary source of truth. Its technical core revolves around a high-performance orchestration engine that queries data warehouses and maps results to the APIs of over 200+ SaaS applications like Salesforce, Braze, and Facebook Ads. Unlike legacy systems, Hightouch does not store a separate copy of customer data, ensuring maximum security and compliance. Key architectural advancements include 'Identity Resolution' at the warehouse layer, enabling teams to stitch user profiles using SQL, and a 'Personalization API' that allows low-latency retrieval of warehouse traits directly into web and mobile applications. This 'Zero-Copy' approach minimizes data latency and eliminates the 'garbage-in, garbage-out' problem prevalent in traditional data pipelines.
Hightouch is the pioneer of the 'Warehouse-Native' architecture, specifically designed to replace traditional, siloed Customer Data Platforms (CDPs) with a composable layer.
Explore all tools that specialize in audience segmentation. This domain focus ensures Hightouch delivers optimized results for this specific requirement.
A no-code interface that translates complex boolean logic into optimized SQL queries executed directly against the warehouse.
A warehouse-native engine that merges duplicate records into a single 'Golden Profile' using deterministic and probabilistic matching.
A low-latency (sub-30ms) REST API that serves warehouse-computed traits to front-end applications.
Automatically writes sync logs and audience memberships back to the warehouse for BI reporting.
Captures real-time events from websites or servers and routes them to multiple destinations simultaneously.
Allows developers to manage sync configurations, models, and segments via YAML files in a Git repository.
An optimization engine that compares warehouse states to only sync changed rows, reducing API consumption.
Connect your data warehouse (e.g., Snowflake, BigQuery, or Redshift) using secure credentials.
Authorize your first destination application (e.g., Salesforce, Hubspot, or Google Ads) via OAuth or API Key.
Define your data model using standard SQL or import existing dbt models directly from your repository.
Select the unique identifier (Primary Key) to match warehouse records with destination records.
Map warehouse columns to specific fields in the destination application using the visual mapper.
Configure sync logic: choose between 'Upsert', 'Update', or 'Insert' modes.
Set the sync frequency, ranging from manual triggers to real-time (CDC) or scheduled intervals.
Run a 'Dry Run' to validate data mapping and identify potential API errors without affecting production data.
Set up alerting notifications via Slack or Email to monitor for sync failures or schema changes.
Activate the sync and monitor performance through the live debugger and observability dashboard.
All Set
Ready to go
Verified feedback from other users.
"Highly praised for its 'warehouse-first' philosophy and ease of use compared to Segment. Users value the SQL-based workflow and the transparency of the sync engine."
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