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SourceMedium vs Rivery

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
Being absorbed into Boomi Data Integration — product roadmap uncertain
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 product direction is now Boomi's to decide
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 — Rivery was an ELT and orchestration tool, not an analytics platform
Cohort / CLTV
SM
Pre-built analytics modules including LTV, repurchase, retention, and new customer analysis
Them
Not included — no analytics capability of any kind
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
Workflow-based transformations within Rivery — but future availability uncertain
Data Access & Exports
SM
Managed BigQuery foundation with included compute and direct query access to modeled tables
Them
Loaded into your warehouse — but Rivery's future as a standalone product is unclear
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 Being absorbed into Boomi Data Integration — product roadmap uncertain
Data Freshness The maintained platform baseline is complete through the prior day. Some connectors support faster incremental updates. Existing pipelines still run, but product direction is now Boomi's to decide
Attribution Models No SourceMedium pixel is required. SourceMedium reconstructs observed purchase journeys from the tracking and first-party data sources already available. Not included — Rivery was an ELT and orchestration tool, not an analytics platform
Cohort / CLTV Pre-built analytics modules including LTV, repurchase, retention, and new customer analysis Not included — no analytics capability of any kind
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. Workflow-based transformations within Rivery — but future availability uncertain
Data Access & Exports Managed BigQuery foundation with included compute and direct query access to modeled tables Loaded into your warehouse — but Rivery's future as a standalone product is unclear
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 SourcesRivery
    rivery.ioVerified Feb 13, 2026High confidence
  • Data FreshnessSourceMedium
    sourcemedium.comVerified Jul 18, 2026High confidence
  • Data FreshnessRivery
    rivery.ioVerified Feb 13, 2026High confidence
  • Attribution ModelsSourceMedium
    sourcemedium.comVerified Jul 18, 2026High confidence
  • Attribution ModelsRivery
    rivery.ioVerified Feb 13, 2026High confidence
  • Cohort / CLTVSourceMedium
    sourcemedium.comVerified Jul 18, 2026High confidence
  • Cohort / CLTVRivery
    rivery.ioVerified Feb 13, 2026High confidence
  • Dashboards & VisualizationSourceMedium
    sourcemedium.comVerified Jul 18, 2026High confidence
  • Dashboards & VisualizationRivery
    rivery.ioVerified Feb 13, 2026High confidence
  • Custom MetricsSourceMedium
    sourcemedium.comVerified Jul 18, 2026High confidence
  • Custom MetricsRivery
    rivery.ioVerified Feb 13, 2026Medium confidence
  • Data Access & ExportsSourceMedium
    sourcemedium.comVerified Jul 18, 2026High confidence
  • Data Access & ExportsRivery
    rivery.ioVerified Feb 13, 2026High confidence
  • Support & SuccessSourceMedium
    sourcemedium.comVerified Jul 18, 2026High confidence
  • Support & SuccessRivery
    rivery.ioVerified Jul 18, 2026High confidence

Based on publicly available documentation, last verified July 2026.

Pricing overview

How SourceMedium and Rivery pricing compares.

SourceMedium

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

Rivery

Model
Usage-based — transitioning to Boomi pricing model
Starting price
Was usage-based; Boomi pricing TBD
Tiers
Being integrated into Boomi Data Integration
Limits
Product roadmap and pricing are now determined by Boomi

What happened to Rivery

Rivery offered ELT, transformation, and orchestration in a single platform — a more consolidated approach than most data stack components. But with 0.4% market share, the product was acquired by Boomi in December 2024 and is being integrated as "Boomi Data Integration."

For ecommerce brands that built pipelines on Rivery, the situation is familiar: a vendor acquisition changes the product roadmap, pricing model, and support experience. This is the same pattern that hit Stitch Data (acquired by Talend, then Qlik) and that concerns Fivetran + dbt customers after the 2025 merger.

Why this is an opportunity to consolidate

Rivery tried to solve part of the MDS fragmentation problem by combining ELT + transformation + orchestration. That was the right instinct — but it still left you needing a warehouse, a BI tool, and all the ecommerce-specific analytics on top.

Go further than Rivery did. Rivery consolidated three tools into one. SourceMedium integrates connectors, warehouse, transformation, dashboards, attribution, and AI in one managed platform. The consolidation thesis was right; the scope was too narrow.

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

Commerce analytics from a maintained model. Rivery focused on data movement and transformation. SourceMedium includes maintained attribution, LTV, cohort, and margin definitions across seven reporting modules.

Automated quality, not just orchestration. Rivery's orchestration kept pipelines running on schedule. SourceMedium goes further with 4,000+ automated quality checks that verify data reconciles back to source systems. Orchestration ensures data moves; quality checks ensure it's correct.

A stable partner with a roadmap: 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 staying with Boomi makes sense

If your data infrastructure extends well beyond ecommerce into enterprise application integration, iPaaS workflows, or Boomi's broader integration ecosystem, staying within Boomi's platform may simplify your overall architecture. But if ecommerce analytics was the primary reason you used Rivery, a dedicated platform will deliver more value than a general-purpose iPaaS.

More comparisons

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

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