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SourceMedium vs Stitch Data

An evidence-backed comparison across integrations, attribution, data freshness, SQL access, pricing, and support.

Integrations & Data Sources
SM
Commerce, ads, email, subscriptions, and ops, reconciled daily with 4,000+ automated quality checks
Them
Soft sunset — homepage redirects to Qlik signup, no new connectors since Winter 2023
Data Freshness
SM
The maintained platform baseline is complete through the prior day. Some connectors support faster incremental updates.
Them
Existing pipelines still run, but no maintenance or updates to source API changes
Attribution Models
SM
No SourceMedium pixel is required. SourceMedium reconstructs observed purchase journeys from the tracking and first-party data sources already available.
Them
Not included — Stitch was ELT-only, no analytics of any kind
Cohort / CLTV
SM
Pre-built analytics modules including LTV, repurchase, retention, and new customer analysis
Them
Not included — Stitch moved data, it didn't analyze it
Dashboards & Visualization
SM
Pre-built dashboards and forkable Looker Studio templates. Analytical answers can expose the underlying SQL. Documentation and methodology answers cite the governing sources.
Them
Not included — required a separate BI tool
Custom Metrics
SM
Define a metric once and use it across dashboards, SQL, and AI.
Them
Not included — required dbt or custom SQL on a separate warehouse
Data Access & Exports
SM
Managed BigQuery foundation with included compute and direct query access to modeled tables
Them
Loaded into your warehouse — but Stitch is no longer maintained
Support & Success
SM
Initial onboarding includes solution hours with a US-based Customer Solutions Engineer. Onboarding and ongoing platform support are included.
Them
Ticket-based support; dedicated engineering resources required
Feature
Integrations & Data Sources Commerce, ads, email, subscriptions, and ops, reconciled daily with 4,000+ automated quality checks Soft sunset — homepage redirects to Qlik signup, no new connectors since Winter 2023
Data Freshness The maintained platform baseline is complete through the prior day. Some connectors support faster incremental updates. Existing pipelines still run, but no maintenance or updates to source API changes
Attribution Models No SourceMedium pixel is required. SourceMedium reconstructs observed purchase journeys from the tracking and first-party data sources already available. Not included — Stitch was ELT-only, no analytics of any kind
Cohort / CLTV Pre-built analytics modules including LTV, repurchase, retention, and new customer analysis Not included — Stitch moved data, it didn't analyze it
Dashboards & Visualization Pre-built dashboards and forkable Looker Studio templates. Analytical answers can expose the underlying SQL. Documentation and methodology answers cite the governing sources. Not included — required a separate BI tool
Custom Metrics Define a metric once and use it across dashboards, SQL, and AI. Not included — required dbt or custom SQL on a separate warehouse
Data Access & Exports Managed BigQuery foundation with included compute and direct query access to modeled tables Loaded into your warehouse — but Stitch is no longer maintained
Support & Success Initial onboarding includes solution hours with a US-based Customer Solutions Engineer. Onboarding and ongoing platform support are included. Ticket-based support; dedicated engineering resources required
Sources (16)
  • Integrations & Data SourcesSourceMedium
    sourcemedium.comVerified Jul 18, 2026High confidence
  • Integrations & Data SourcesStitch
    stitchdata.comVerified Feb 13, 2026High confidence
  • Data FreshnessSourceMedium
    sourcemedium.comVerified Jul 18, 2026High confidence
  • Data FreshnessStitch
    stitchdata.comVerified Feb 13, 2026High confidence
  • Attribution ModelsSourceMedium
    sourcemedium.comVerified Jul 18, 2026High confidence
  • Attribution ModelsStitch
    stitchdata.comVerified Feb 13, 2026High confidence
  • Cohort / CLTVSourceMedium
    sourcemedium.comVerified Jul 18, 2026High confidence
  • Cohort / CLTVStitch
    stitchdata.comVerified Feb 13, 2026High confidence
  • Dashboards & VisualizationSourceMedium
    sourcemedium.comVerified Jul 18, 2026High confidence
  • Dashboards & VisualizationStitch
    stitchdata.comVerified Feb 13, 2026High confidence
  • Custom MetricsSourceMedium
    sourcemedium.comVerified Jul 18, 2026High confidence
  • Custom MetricsStitch
    stitchdata.comVerified Feb 13, 2026High confidence
  • Data Access & ExportsSourceMedium
    sourcemedium.comVerified Jul 18, 2026High confidence
  • Data Access & ExportsStitch
    stitchdata.comVerified Feb 13, 2026High confidence
  • Support & SuccessSourceMedium
    sourcemedium.comVerified Jul 18, 2026High confidence
  • Support & SuccessStitch
    stitchdata.comVerified Jul 18, 2026High confidence

Based on publicly available documentation, last verified July 2026.

Pricing overview

How SourceMedium and Stitch Data pricing compares.

SourceMedium

Model
Month-to-month commitment.
Starting price
Provided after scope review
Limits
Usage overages may apply and are explained before signing.

Stitch Data

Model
Legacy pricing — new signups redirect to Qlik
Starting price
N/A (effectively end-of-life)
Tiers
Migration to Qlik is the only path forward
Limits
No new features, no new connectors, no API maintenance

What happened to Stitch Data

Stitch Data was acquired by Talend, which was then acquired by Qlik. The product is now in a soft sunset — the homepage redirects to Qlik's signup page with migration toolkits, and no new features or connectors have shipped since Winter 2023. Brands that built their ecommerce data pipelines on Stitch now face a forced migration.

This is the fundamental risk of the modern data stack approach: when one vendor in your tool chain gets acquired or sunset, the ripple effects hit everything downstream. Stitch didn't just move data — it was the foundation that warehouses, dbt models, and dashboards depended on. Replacing it means rebuilding the entire pipeline.

Why this is an opportunity, not just a migration

If you're being forced off Stitch, you're already doing the hard part: re-evaluating your data infrastructure. The question is whether to replace Stitch with another ELT tool and keep managing the tools around it, or consolidate commerce ingestion, transformation, analytics, and reporting in one platform.

Consolidate the tools around the ELT layer. Stitch was one piece of a pipeline that also required a warehouse, dbt, a BI tool, and engineering time. SourceMedium integrates connectors, a managed BigQuery foundation, transformation, dashboards, and attribution for commerce analytics. The ELT tool was just the beginning of what you needed; this is a chance to stop assembling parts.

Migrate to a portable data foundation. Your data lands in a managed BigQuery environment with included compute and direct table access. Tableau, dbt, Python, Hex, and other compatible tools connect directly. Customer-owned GCP deployment is available when preferred.

Stop maintaining what should be automated. Stitch required ongoing API maintenance as source schemas changed. SourceMedium runs 4,000+ automated quality checks daily and handles source API changes from Shopify, Meta, and Google Ads without passing the maintenance burden to your team.

Get commerce analytics, not only data movement. Stitch moved data. SourceMedium includes maintained attribution, LTV, cohort, and margin definitions across seven reporting modules.

Migration help built into onboarding: For supported standard connectors, SourceMedium handles authorization guidance, historical backfill, modeling, reconciliation, testing, and dashboard setup. Your team grants access, confirms key definitions, and approves the validated outputs. Custom sources are scoped separately. Ongoing platform support is included.

When replacing Stitch with another ELT tool makes sense

If your Stitch pipelines support workloads well beyond ecommerce — multi-department data consolidation, database replication, or enterprise-wide infrastructure — replacing just the ELT layer (with Fivetran, Airbyte, or another connector platform) may be the right call. But if ecommerce analytics is the primary use case, rebuilding the same fragile stack with a different ELT tool repeats the pattern that got you here.

More comparisons

See how SourceMedium compares with other ecommerce analytics platforms and data stacks.

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