Every ticket & field
Pull the full Qualtrics data model - tickets, conversations, CSAT, agents, SLAs - not just a fixed preset, so your support reports are never missing a field.
Dataddo extracts the full Qualtrics data set - tickets, conversations, CSAT, agents, SLAs - and delivers it wherever your team needs it: into AI tools and agents, your warehouse like Snowflake and BigQuery, BI dashboards, and back into your CRM and messaging tools. Blend it with product and CRM data, backfill full history, and keep it fresh on your schedule - all fully managed, with the data plane running where you choose. No pipelines to build, no lock-in.
Support data is only useful when it's complete, clean, and current. Dataddo extracts the full Qualtrics data model, governs it, and serves it to every warehouse, dashboard, AI tool, and downstream system - continuously and without manual exports.
Pull the full Qualtrics data model - tickets, conversations, CSAT, agents, SLAs - not just a fixed preset, so your support reports are never missing a field.
Combine Qualtrics with your CRM and product data so customer-health and full-journey analytics live in one place.
Load historical Qualtrics data beyond the platform's export limits, so trend, cohort, and SLA analysis holds up.
Normalize statuses, tags, and owner names, and let the Data Quality Firewall stop bad rows before Qualtrics data reaches your reports.
Incremental, scheduled syncs keep Qualtrics data current - as often as hourly - without manual exports or full reloads.
Delivery alerts and quality checks catch gaps in Qualtrics data early, so support dashboards never silently break.
The Qualtrics connector provides a list of curated datasets - ready-made sets of records, fields, and metrics you can extract on a schedule. Need something specific? Any dataset can be forked and customized, or built from scratch, with our Universal Connector.
List of curated datasets
Need a dataset, metric, or attribute you don't see?
Tell us what's missing and we'll add it to the connector.
Keep Qualtrics data flowing to every warehouse, dashboard, and tool - and see who owns it when an API or schema changes:
| Without Dataddo |
|
Outcome for you | |
|---|---|---|---|
| API or auth change | You discover the breakage and scramble to fix it. | We update the connector and restore the pipeline - often before you notice. | Syncs from Qualtrics keep flowing |
| Schema drift | Columns change and pipelines break or corrupt data silently. | Detected automatically and handled by configurable rules. | Only clean Qualtrics data lands in reports |
| Endpoint deprecated | You re-engineer the integration. | We own the update - the data contract holds. | Your Qualtrics reporting keeps working |
| Missing connector | You build and maintain a custom integration. | We build it and maintain it, under a ~4-week SLA. | Any Qualtrics data you need, on request |
| Silent degradation | You find out when a report or model run fails. | Proactive monitoring catches anomalies and delays first. | Gaps caught before dashboards break |
| Debugging | You dig through logs across disconnected tools. | Run histories, payload inspection, and end-to-end lineage in one place. | Faster root-cause, fewer reporting gaps |
Qualtrics is a cloud API, so the question isn't on-prem vs cloud - it's which region your data flows through. With Dataddo you run the data plane in the region you choose, so Qualtrics payloads move straight to your destinations without transiting a third-party SaaS. Pin it to an EU or US region for compliance, or self-host when a downstream target lives inside your own network.
| Data Plane location | Typical data sensitivity | Why this setup |
|---|---|---|
|
Public cloud |
Low to moderate - general business, marketing, and product data; sources that are already cloud-native. | Fastest to stand up and scales elastically. Best when the data has no residency restriction and often already lives in the same public cloud. |
|
Regional & EU sovereign clouds
EU sovereign clouds
Regional providers
Private cloud
|
Regulated / residency-bound - PII, financial, and health data governed by GDPR or local law. | Keeps processing inside a specific jurisdiction to meet data-residency and sovereignty rules, while still running as managed infrastructure. |
|
On-premises |
Highly sensitive / restricted - data that contractually or legally cannot leave the corporate perimeter. | Data never leaves your network. Required for air-gapped, classified, or locked-down environments; the Control Plane still manages it via metadata only. |
Support data rarely has one home. Dataddo feeds Qualtrics into AI and agents, loads it into your warehouse for support analytics, syncs customer health back into CRM and messaging tools, and delivers files to storage - all governed the same way.
| Transport type | What it does | Typical destinations | Typical business use cases |
|---|---|---|---|
| Data to AI & Agents | Feed Qualtrics data into vector databases, LLMs, and AI agents so support copilots can reason over your tickets. | Load Qualtrics tickets and conversations into vector stores for retrieval-augmented support assistants, Give AI agents and copilots governed access to live Qualtrics support data | |
| ETL / ELT to your warehouse | Load Qualtrics tickets and metrics into your warehouse for support and customer-health analytics. | Centralize Qualtrics alongside CRM and product data in Snowflake, BigQuery, or Redshift, Backfill Qualtrics history for SLA and cohort analysis | |
| Sync back to CRM & messaging | Push customer-health scores and segments built from Qualtrics data back into CRM and messaging platforms. | Sync CSAT and health scores from Qualtrics to your CRM, Trigger messaging and win-back flows from Qualtrics support signals | |
| Files to storage & partners | Deliver raw or modeled Qualtrics extracts to object storage and partners. | Archive raw Qualtrics exports to S3, GCS, or Azure storage, Send scheduled Qualtrics extracts to partners over SFTP |
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To any of Dataddo's 150+ destinations - warehouses like Snowflake and BigQuery, BI dashboards, CRMs and marketing tools, object storage, and AI or vector stores - plus custom destinations on request.
No. Dataddo is fully managed: we maintain the Qualtrics connector, adapt to API and schema changes, and alert you if anything needs attention. There is no pipeline code for you to write or fix.
Yes. Dataddo loads Qualtrics tickets and metrics into Snowflake, BigQuery, or Redshift, blended with your CRM and product data, so customer-health, SLA, and churn analysis works without manual exports.
That's on us, not you. Dataddo's team proactively tracks Qualtrics API and schema changes and updates the connector before they break your pipeline. Continuous monitoring watches every sync, and if anything needs attention you get an alert - so your Qualtrics data keeps flowing without you touching a thing.
The full Qualtrics data model - tickets, conversations, CSAT, agents, and SLAs - not a fixed subset. If a field you need isn't exposed yet, we add it on request, usually at no extra cost.
Dataddo is SOC 2 Type II and ISO 27001 certified. Data is encrypted in transit and at rest, PII can be masked or hashed, and EU or US data residency is available. Self-host the data plane and payload data never leaves your network.
Dataddo handles Qualtrics pagination, rate limits, and retries for you, and pulls incrementally on a schedule so you stay within API quotas without impacting your source.
No. Pipelines are source- and destination-agnostic - you can add or switch destinations without rebuilding, and data lands in native formats you own.