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SourceMedium vs Rivery

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

Integrations & Data Sources
SM
Commerce, ads, email, subscriptions, and ops — reconciled daily with 2,500+ automated quality checks
Them
Being absorbed into Boomi Data Integration — product roadmap uncertain
Data Freshness
SM
Reconciled daily across all sources with full historical backfill — every metric traceable to its source
Them
Existing pipelines still run, but product direction is now Boomi's to decide
Attribution Models
SM
Server-side multi-touch attribution using your existing tracking (GA4 + platform APIs) — no new pixels or site re-tagging
Them
Not included — Rivery was an ELT and orchestration tool, not an analytics platform
Cohort / CLTV
SM
20 pre-built analytics modules including LTV, repurchase, retention, and new customer analysis — ready to use on day one
Them
Not included — no analytics capability of any kind
Dashboards & Visualization
SM
Pre-built dashboards, forkable Looker Studio templates, and an AI analyst that answers questions with auditable SQL
Them
Not included — required a separate BI tool
Custom Metrics
SM
Define a metric once, use it everywhere — dashboards, SQL, and AI always return the same answer
Them
Workflow-based transformations within Rivery — but future availability uncertain
SQL / Export / API Access
SM
Managed BigQuery warehouse with included compute and unlimited storage — any tool that supports BigQuery connects natively
Them
Loaded into your warehouse — but Rivery's future as a standalone product is unclear
Support & Success
SM
Dedicated US-based CSA, included quarterly solution hours, and structured roadmapping
Them
Ticket-based support; dedicated engineering resources required
Feature
Integrations & Data Sources Commerce, ads, email, subscriptions, and ops — reconciled daily with 2,500+ automated quality checks Being absorbed into Boomi Data Integration — product roadmap uncertain
Data Freshness Reconciled daily across all sources with full historical backfill — every metric traceable to its source Existing pipelines still run, but product direction is now Boomi's to decide
Attribution Models Server-side multi-touch attribution using your existing tracking (GA4 + platform APIs) — no new pixels or site re-tagging Not included — Rivery was an ELT and orchestration tool, not an analytics platform
Cohort / CLTV 20 pre-built analytics modules including LTV, repurchase, retention, and new customer analysis — ready to use on day one Not included — no analytics capability of any kind
Dashboards & Visualization Pre-built dashboards, forkable Looker Studio templates, and an AI analyst that answers questions with auditable SQL Not included — required a separate BI tool
Custom Metrics Define a metric once, use it everywhere — dashboards, SQL, and AI always return the same answer Workflow-based transformations within Rivery — but future availability uncertain
SQL / Export / API Access Managed BigQuery warehouse with included compute and unlimited storage — any tool that supports BigQuery connects natively Loaded into your warehouse — but Rivery's future as a standalone product is unclear
Support & Success Dedicated US-based CSA, included quarterly solution hours, and structured roadmapping Ticket-based support; dedicated engineering resources required
Sources (16)
  • Integrations & Data SourcesSourceMedium
    sourcemedium.comVerified Feb 17, 2026High confidence
  • Integrations & Data SourcesRivery
    rivery.ioVerified Feb 14, 2026High confidence
  • Data FreshnessSourceMedium
    sourcemedium.comVerified Feb 17, 2026High confidence
  • Data FreshnessRivery
    rivery.ioVerified Feb 14, 2026High confidence
  • Attribution ModelsSourceMedium
    sourcemedium.comVerified Feb 17, 2026High confidence
  • Attribution ModelsRivery
    rivery.ioVerified Feb 14, 2026High confidence
  • Cohort / CLTVSourceMedium
    sourcemedium.comVerified Feb 17, 2026High confidence
  • Cohort / CLTVRivery
    rivery.ioVerified Feb 14, 2026High confidence
  • Dashboards & VisualizationSourceMedium
    sourcemedium.comVerified Feb 17, 2026High confidence
  • Dashboards & VisualizationRivery
    rivery.ioVerified Feb 14, 2026High confidence
  • Custom MetricsSourceMedium
    sourcemedium.comVerified Feb 17, 2026High confidence
  • Custom MetricsRivery
    rivery.ioVerified Feb 14, 2026Medium confidence
  • SQL / Export / API AccessSourceMedium
    sourcemedium.comVerified Feb 17, 2026High confidence
  • SQL / Export / API AccessRivery
    rivery.ioVerified Feb 14, 2026High confidence
  • Support & SuccessSourceMedium
    sourcemedium.comVerified Feb 17, 2026High confidence
  • Support & SuccessRivery
    rivery.ioVerified Feb 14, 2026High confidence

Based on publicly available documentation, last verified February 2026.

Pricing overview

How SourceMedium and Rivery pricing compares.

SourceMedium

Model
Subscription + Usage
Starting price
Generous base tier included
Limits
Includes generous base compute; overages for heavy BigQuery/AI usage

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 consolidates the entire stack — connectors, warehouse, transformation, dashboards, attribution, and AI. The consolidation thesis was right; the scope was too narrow.

Own your warehouse. Your data lands in a managed BigQuery warehouse with included compute. Any tool that speaks BigQuery — Tableau, dbt, Python, Hex — connects directly. Unlike a product being absorbed into an enterprise platform, your BigQuery warehouse stays yours regardless of what happens to any vendor.

Ecommerce analytics from day one. Rivery moved and transformed data but delivered no business metrics. SourceMedium includes attribution, LTV, cohort analysis, contribution margin, and 20 pre-built analytics modules — the analytics layer that was always missing from the Rivery stack.

Automated quality, not just orchestration. Rivery's orchestration kept pipelines running on schedule. SourceMedium goes further with 2,500+ automated quality checks that verify data reconciles back to source systems. Orchestration ensures data moves; quality checks ensure it's correct.

Onboarding that's built into the plan: Included solution hours with a dedicated US-based analyst who's worked across DTC brands. No surprise services fees, no offshore support team.

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.

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