Census (Fivetran) vs Hightouch, feature by feature
| Capability | Census (Fivetran) | Hightouch |
|---|---|---|
| Core platform | ||
| Starting price | Now part of Fivetran pricing and packaging | Free tier; Growth plans start around $800+/month |
| Free tier | ||
| Connectors | 130+ | 70+ |
| Deployment | SaaS | SaaS |
| Connectors and sync | ||
| Data ingestion (ELT) | — | — |
| Reverse ETL | ||
| Fastest sync frequency | 15 min | 1 min |
| Replication and CDC | ||
| Full refresh | ||
| Incremental | ||
| Log-based CDC | — | — |
| History tables (SCD) | — | — |
| Transformations | ||
| Transformations | — | — |
| dbt Core | ||
| dbt Cloud | — | — |
| AI and agent support | ||
| Agent API | — | — |
| MCP server | — | — |
| CLI | — | |
| REST / OpenAPI | ||
| Orchestration and governance | ||
| Orchestration | ||
| Data lineage | — | — |
| Version control | ||
| Audit logs | ||
| Ratings | ||
| G2 rating | 4.5 | 4.6 |
What G2 reviewers say
“Census is the fastest and most reliable reverse ETL platform with strong uptime and responsive support.”
“Hightouch is the easiest way to sync customer data into tools like CRMs, email platforms, and ad networks, using either SQL or a point-and-click UI without requiring engineering involvement.”
How Census (Fivetran) and Hightouch compare in practice
What each tool is
Census (Fivetran). Census is a reverse ETL platform, now part of Fivetran, that syncs data from cloud data warehouses into operational tools such as Salesforce, HubSpot, Marketo, Google Sheets, and Slack. It works directly on warehouse tables or dbt models and focuses on reliable, incremental syncing to support operational analytics and data activation use cases.
Hightouch. Hightouch is a reverse ETL platform and composable CDP designed to sync data from cloud data warehouses into operational tools such as CRMs, ad platforms, and email providers. It supports SQL-based and no-code audience creation, enabling teams to operationalize warehouse data for sales, marketing, and customer success use cases.
Ease of use
Census (Fivetran). Census offers a clean interface with intuitive field mapping, previews, and validation steps. Non-technical users can configure operational syncs with minimal setup.
Hightouch. Hightouch provides a modern interface with visual audience building for non-technical teams and SQL-based configuration for advanced users. Mapping and validation workflows are straightforward and approachable.
Pricing
Census (Fivetran). Census includes a free tier for basic use, while paid plans scale with usage. Costs can increase with high sync volumes, making it more suitable for teams with predictable operational data needs.
Hightouch. Hightouch offers a free tier for small workloads. Paid plans scale based on usage, which can be cost-effective for targeted operational syncs but may increase for high-volume enterprise use cases.
Features
Census (Fivetran). Census focuses on reverse ETL functionality, including incremental syncs, no-code mapping, dbt model syncing, scheduling, monitoring, and alerting. It provides an API and CLI for integration into GitOps workflows.
Hightouch. Hightouch includes reverse ETL features such as SQL-based syncs, audience building, incremental updates, scheduling, monitoring, alerting, and support for real-time triggers depending on destination APIs. It integrates with dbt and offers API/CLI tools for GitOps workflows.
Flexibility
Census (Fivetran). Users can sync any warehouse table or SQL model, schedule syncs flexibly, and configure failure handling. Customization is primarily driven by upstream SQL and dbt transformations, aligning with analytics-engineering workflows.
Hightouch. Users can define sync logic via SQL, configure mapping rules, and trigger syncs via API. Hightouch supports webhook destinations and generic connectors, offering additional flexibility while relying on the warehouse for complex transformations.
See for yourself whether Weld fits your stack
Every plan starts with a 14-day free trial. Connect a source and a warehouse, and your first sync runs the same day. If you would rather see it first, a data engineer will walk you through it on your own setup.