Census vs Hightouch (2026) Compared

Census and Hightouch both pioneered reverse ETL. They're so similar that most teams pick based on vibes and pricing. Here's what actually differentiates them.

The Short Version

THE SHORT VERSION

Census is the better pick for data engineering teams that want a developer-first reverse ETL tool with strong dbt integration and a focus on data quality. Hightouch is the better pick for marketing and revenue ops teams that want a broader data activation platform with audience building, customer studio features, and more self-service capabilities for business users. Both do core reverse ETL well. The split comes down to your team's technical depth and how much you want business users to self-serve.

Starting Price
Census Free (community) / $200+/mo
vs
Hightouch Free (limited) / Custom
Best For
Census Data engineering teams
vs
Hightouch Marketing & RevOps teams
Job Postings
Census 6
vs
Hightouch 3
Core Focus
Census Reverse ETL + data quality
vs
Hightouch Data activation + audiences
dbt Integration
Census Deep, native
vs
Hightouch Good, supported

Quick Comparison

Feature Census Hightouch
Core Reverse ETL Full sync engine with 200+ destinations Full sync engine with 200+ destinations
Audience Builder Basic segmentation Visual audience builder (Customer Studio)
dbt Integration Native, deep model support Supported, less tightly coupled
Data Quality Built-in observability and freshness checks Basic sync monitoring
Business User Access SQL-first, less self-service Visual UI, self-service friendly
Event Tracking Census Entities Hightouch Events
Identity Resolution Basic Built-in identity graph
Free Tier Community edition available Free tier with limits
Warehouse Support Snowflake, BigQuery, Redshift, Databricks Snowflake, BigQuery, Redshift, Databricks

Deep Dive: Census

What They're Selling

Census calls itself the operational analytics platform. Its core thesis: your data warehouse is your single source of truth, and Census moves that data into every tool your team uses. Built by data engineers for data engineers, with deep dbt integration and a focus on data quality and observability.

What It Actually Costs

Census offers a free community edition for small teams. Paid plans start around $200/month and scale based on synced records and destinations. Mid-market companies typically pay $500-$2,000/month. Enterprise pricing is custom and can run $30K-$80K/year depending on sync volume.

What Users Say

Data engineers love the dbt integration and developer experience. The platform feels like it was built by people who understand the modern data stack. Complaints center on pricing at scale (record-based pricing gets expensive with large datasets) and the UI being less accessible for non-technical users. It's a tool for data teams, not marketing teams.

Pros

  • Best-in-class dbt integration for model-based syncing
  • Built-in data observability and quality monitoring
  • Developer-friendly with Git-based workflows
  • Strong community edition for small teams

Cons

  • Less accessible for non-technical business users
  • Record-based pricing can get expensive at scale
  • Audience building features are less developed than Hightouch
  • Smaller go-to-market presence than Hightouch

Read the full Census review →

Deep Dive: Hightouch

What They're Selling

Hightouch positions itself as the leading data activation platform. It started as reverse ETL but has expanded into audience building, customer studio, identity resolution, and AI-powered personalization. The pitch: activate your warehouse data across every channel without writing code.

What It Actually Costs

Hightouch has a free tier with limited destinations and sync frequency. Paid pricing is custom and typically starts at $500+/month for mid-market. Enterprise deals range from $40K-$100K+/year. Hightouch has been aggressive about pricing to win market share, so negotiation is expected.

What Users Say

Marketing ops and RevOps teams love the visual audience builder and the ability to create segments without SQL. The platform has evolved from a pure reverse ETL tool into something closer to a customer data platform. Complaints focus on sync reliability at very high volumes, occasional UI complexity as the platform adds features, and pricing opacity.

Pros

  • Visual audience builder empowers business users to self-serve
  • Broader platform: audiences, identity resolution, personalization
  • More go-to-market investment and market awareness
  • Strong partner ecosystem and integrations

Cons

  • Feature sprawl can make the platform feel complex
  • Pricing is opaque and negotiation-heavy
  • dbt integration exists but isn't as tight as Census
  • Data quality and observability features are less mature

Read the full Hightouch review →

Which Should You Pick?

IF Your data team runs on dbt and you want tight integration
THEN Census. The dbt integration is deeper and more native. If your data models are the backbone of your ops, Census treats them as first-class citizens.
IF Marketing needs to build audiences without SQL
THEN Hightouch. Customer Studio gives marketers a visual interface to build and sync audience segments without pinging the data team for every request.
IF You're a small team just starting with reverse ETL
THEN Census. The community edition is genuinely usable for small teams, and the developer experience makes it straightforward to set up your first syncs.
IF You want a broader data activation platform
THEN Hightouch. If you need identity resolution, audience building, and personalization alongside reverse ETL, Hightouch's platform is more expansive.
IF Data quality and observability are priorities
THEN Census. Built-in sync observability, freshness monitoring, and data quality checks are more mature than what Hightouch offers.

The Honest Take

Census and Hightouch are the two leaders in reverse ETL, and their core syncing capabilities are comparable. The real difference is audience: Census is built for data engineering teams that want developer-grade tooling and tight dbt integration. Hightouch is built for go-to-market teams that want self-service data activation with visual tools. Pick based on who will own the platform day-to-day. If it's your data engineer, Census. If it's your marketing ops person, Hightouch.

Questions to Ask Before Buying

  1. Who will own and manage the reverse ETL platform day-to-day?
  2. Do you use dbt, and how central is it to your data stack?
  3. Do business users need self-service audience building, or will the data team handle all syncs?
  4. What's your expected sync volume (records per month)?
  5. Do you need identity resolution or just straightforward warehouse-to-SaaS syncing?

Frequently Asked Questions

Is Census or Hightouch better for reverse ETL?

Both are excellent at core reverse ETL. Census has a slight edge for data engineering teams because of its deeper dbt integration and observability features. Hightouch has a slight edge for marketing teams because of its visual audience builder.

Do Census and Hightouch replace a CDP?

Partially. Both can replace some CDP functions (audience building, activation) if you already have a well-modeled data warehouse. They don't replace CDPs for real-time event streaming, anonymous visitor tracking, or companies without a mature warehouse.

Which is cheaper, Census or Hightouch?

Census has a more accessible free tier (community edition). For paid plans, pricing is similar and depends on sync volume. Both charge based on records synced or destinations active. Get quotes from both and compare against your specific volume.

Can I switch from Census to Hightouch or vice versa?

Yes. Both connect to the same warehouse sources and SaaS destinations. Migration is straightforward since the core function (SQL query > sync to destination) is standard. The main effort is recreating sync configurations and audience definitions.

About the Author

Rome Thorndike has spent over a decade working with B2B data and sales technology. He led sales at Datajoy, an analytics infrastructure company acquired by Databricks, sold Dynamics and Azure AI/ML at Microsoft, and covered the full Salesforce stack including Analytics, MuleSoft, and Machine Learning. He founded DataStackGuide to help RevOps teams cut through vendor noise using real adoption data.