Sync Responsly survey responses to your warehouse through Airbyte's open-source ELT platform
Airbyte is the open-source alternative to Fivetran for ELT — over 300 connectors, self-hostable, and transparent in how it moves data. Responsly integrates with Airbyte so survey responses land in your warehouse under the same open-source, self-controllable pipeline you already use for the rest of your data sources.
For data engineering teams that value control, compliance, and cost transparency over managed convenience, this integration keeps survey data in the same managed-by-you pipeline as everything else.
Where Airbyte and Responsly work well together
Self-hosted pipelines for data sovereignty
Healthcare, finance, and regulated industries often require self-hosted data pipelines. Airbyte OSS running in your Kubernetes cluster means survey responses never transit through third-party managed services — an important property for some compliance frameworks.
Unified ELT alongside other sources
Teams already using Airbyte for Stripe, Salesforce, Hubspot, GitHub, or other sources get survey data on the same management pane. One tool, one monitoring setup, one set of sync schedules.
Destination flexibility
Snowflake, BigQuery, Redshift, Databricks, Postgres, S3 — all work identically. Teams sometimes start on one destination and migrate; Airbyte handles that transition without rebuilding the survey pipeline from scratch.
Cost-predictable scale
Self-hosted Airbyte scales with your infrastructure costs, not per-row pricing. High-volume survey programs (millions of responses per year) stay cost-effective under the open-source model.
dbt-native downstream modeling
Airbyte lands raw data; dbt transforms. Survey responses get staged, joined, and modeled exactly like any other Airbyte-synced source. Analytics engineering stays uniform across data sources.
Setting up Responsly with Airbyte
- Configure the Responsly source in Airbyte. Webhook connector or a custom connector depending on your deployment.
- Select the destination. Snowflake, BigQuery, Redshift, Postgres — whatever your warehouse of choice.
- Set sync schedule. 15 minutes to 1 hour suits most analytics workloads.
- Define schema handling. How Airbyte reacts to new/changed/removed fields — typically “propagate all” for survey data where flexibility matters.
- Build downstream models. dbt or your warehouse’s native views/procedures to stage and model the data.
Practices for clean ELT of survey data
Keep raw and modeled layers separate. Airbyte lands raw; dbt or warehouse views model. Mixing the two makes debugging harder.
Monitor sync health. Airbyte emits sync status events; pipe them into your alerting (Slack, PagerDuty) to catch silent failures early. For teams using managed ETL instead, see the Fivetran integration or Hevo Data integration.
Version the survey data dictionary. Survey fields change over time. A separate doc or dbt seed file tracking what each column means saves analysts from archaeology later.
Handle PII deliberately. Filter or hash sensitive fields at the Airbyte source or in a first-stage dbt model. Keep warehouse PII footprint minimal.
Back up incremental state. Airbyte’s incremental sync state is valuable operational data. Include it in your normal infrastructure backup processes.
Open-source survey data pipeline
Connect Responsly to Airbyte and survey data joins your warehouse under the same self-controlled, open-source ELT pipeline as the rest of your data. Compliance, cost, and control stay on your side of the line; survey responses become just another well-managed source in the analytics stack. Once your data lands in the warehouse, use our survey data analysis guide for tips on building dashboards, and see our survey question types guide to make sure the raw data is structured for useful analysis from the start.
