Google Analytics 4
Native platform
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Evidence-backed comparisons across integrations, attribution models, data freshness, SQL access, and compliance. All claims are sourced and confidence-rated.
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Integrated platforms that combine attribution, dashboards, and data consolidation. Your fastest path to insights.
Native platform
Attribution-first
Attribution-first
Native platform
Attribution-first
| Feature | Google Analytics 4 | Polar Analytics | Analytics | Triple Whale | ||
|---|---|---|---|---|---|---|
| Integrations & Data Sources | Commerce, ads, email, subscriptions, and ops — reconciled daily with 2,500+ automated quality checks | Web/app event tracking + Google ecosystem links — not a cross-platform commerce data foundation | Shopify-centric; integrates with major ad and email tools but limited to Shopify commerce data | Shopify-first; SQL access and intraday refresh are paid add-ons | Shopify store data only — no ad platforms, email, subscriptions, or other sales channels | SaaS-locked — data lives in Triple Whale's system, exports are one-way table dumps |
| Data Freshness | Reconciled daily across all sources with full historical backfill — every metric traceable to its source | Standard has processing delays and sampling; unsampled intraday requires 360 (~$50K+/yr) | Shopify real-time; ad platforms hourly to 12h lag | Pixel data real-time; Shopify 15-min on new pipeline; lower tiers may be daily | Some reports lag up to 12 hours; Live View exists but scope is limited | Claims real-time; constrained by each channel's API refresh limits |
| Attribution Models | Server-side multi-touch attribution using your existing tracking (GA4 + platform APIs) — no new pixels or site re-tagging | 3 models — data-driven, last click, and Google paid channels last click | First-touch and last-touch only — no multi-touch attribution | First-click, linear, U-shaped via Shopify App Pixel deployment | No cross-channel marketing attribution — checkout funnel metrics only | Seven models including proprietary Total Impact; requires Triple Pixel installation |
| Cohort / CLTV | 20 pre-built analytics modules including LTV, repurchase, retention, and new customer analysis — ready to use on day one | No built-in ecommerce LTV — requires custom event setup and downstream modeling | Cohort LTV with predictive modeling, repurchase curves, and segmentation | Ecommerce KPIs via semantic layer; not explicitly positioned as CLTV product | Cohort reports require Advanced ($299/mo) or Plus ($2,300+/mo) Shopify plans | Cohort analysis included in plan features |
| Dashboards & Visualization | Pre-built dashboards, forkable Looker Studio templates, and an AI analyst that answers questions with auditable SQL | Standard dashboards subject to sampling and privacy thresholds that can withhold data | Custom dashboards with scheduled reporting; single-currency display only | Custom reporting limited to 1,000 rows in-app; no visualization exports or Slack/email chart delivery | Built-in dashboards gated by Shopify plan tier; custom reports require Advanced+ | Pre-built dashboards including Summary Page; SaaS-hosted with data in Triple Whale's system |
| Custom Metrics | Define a metric once, use it everywhere — dashboards, SQL, and AI always return the same answer | Custom metrics and events via event schema — requires manual configuration | Custom dashboards available; no SQL for custom analysis | Custom reporting available in BI product | ShopifyQL for querying (proprietary language, not standard SQL) | Custom Metric Builder available on Starter plan and above |
| SQL / Export / API Access | Managed BigQuery warehouse with included compute and unlimited storage — any tool that supports BigQuery connects natively | BigQuery export capped at 1M events/day on standard; unsampled data requires 360 | No SQL access; analysis limited to in-app dashboards and exports | SQL on dedicated Snowflake; add-on pricing on some tiers | No SQL access; ShopifyQL only (proprietary, not standard SQL) | API access plus warehouse exports to BigQuery, Snowflake, S3, and GCS — data originates in Triple Whale's system |
| Support & Success | Dedicated US-based CSA, included quarterly solution hours, and structured roadmapping | Documentation & Community support; no dedicated success manager | Chat/Ticket support; dedicated success manager tiered | Chat/Ticket support; dedicated success manager tiered | 24/7 Chat/Phone support; generalized, not analytics specialists | Chat/Ticket support; dedicated success manager tiered or offshore |
Warehouses, ELT tools, and components for assembling a custom stack. High flexibility, but requires ongoing engineering maintenance.
Infrastructure
Managed data stack
Infrastructure
Managed data stack
Infrastructure
Infrastructure
Managed data stack
Infrastructure
Infrastructure
| Feature | In-House | MDS | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Integrations & Data Sources | Commerce, ads, email, subscriptions, and ops — reconciled daily with 2,500+ automated quality checks | Build and maintain every connector yourself — each source API change is your team's problem | BYO warehouse required — connects to Snowflake, BigQuery, or Redshift that you manage | Extraction and loading only — no transformation, dashboards, attribution, or analytics | Pro tier limited to basic connectors; full access requires custom-priced Glew Plus | Assemble and maintain a multi-vendor stack: warehouse + ELT + transformation + BI + orchestration + activation | Being absorbed into Boomi Data Integration — product roadmap uncertain | Connectors (Daton) and analytics (Pulse) are separate products with separate pricing | No data loading included — requires Fivetran, Airbyte, or another ELT tool | Soft sunset — homepage redirects to Qlik signup, no new connectors since Winter 2023 |
| Data Freshness | Reconciled daily across all sources with full historical backfill — every metric traceable to its source | Whatever your team builds — freshness depends entirely on your engineering resources | No published data freshness SLA; varies from near-real-time to daily by source | Configurable sync frequency — but MAR pricing penalizes frequent syncs | No published data freshness SLA — ask how refresh works by source and plan | Depends on your ETL, orchestration, and warehouse configuration — each a separate failure point | Existing pipelines still run, but product direction is now Boomi's to decide | Pulse Growth plan: 1-day data recency; faster refresh only on Enterprise | Depends entirely on your ELT tool and orchestration setup | Existing pipelines still run, but no maintenance or updates to source API changes |
| Attribution Models | Server-side multi-touch attribution using your existing tracking (GA4 + platform APIs) — no new pixels or site re-tagging | Must be designed, built, and maintained by your data team — typically months of development | Multiple attribution methods including GA-based, survey-based, and discount code tracking | Not included — Fivetran moves data, it doesn't analyze it | Attribution and marketing analytics; details vary by plan tier | Must be built from scratch — typically months of custom development | Not included — Rivery was an ELT and orchestration tool, not an analytics platform | Multi-touch attribution and channel ROI in Pulse marketing analytics | Not included — must be built from scratch or purchased separately | Not included — Stitch was ELT-only, no analytics of any kind |
| Cohort / CLTV | 20 pre-built analytics modules including LTV, repurchase, retention, and new customer analysis — ready to use on day one | Must be modeled from scratch — 'the longest and most complicated element' of ecommerce data modeling | Customer and LTV use cases referenced in case studies; not a core product positioning | Not included — requires dbt models and a BI tool built on top | LTV included in Glew Pro feature list | Must be modeled from scratch using dbt — Daasity calls this 'the longest and most complicated element' | Not included — no analytics capability of any kind | Cohorts and LTV framing in customer analytics materials | Not included — must be modeled from scratch using SQL/dbt | Not included — Stitch moved data, it didn't analyze it |
| Dashboards & Visualization | Pre-built dashboards, forkable Looker Studio templates, and an AI analyst that answers questions with auditable SQL | Build from scratch using a BI tool your team selects, configures, and maintains | Dashboards and custom reports; some deployments use Looker instances | Not included — requires Looker, Tableau, or another BI tool ($3K–$10K/mo) | Pre-built dashboards on Pro; custom reports require Glew Plus with bundled Looker | Requires separate BI tool (Looker $3K–$10K/mo, Tableau $500–$3K/mo) plus development time | Not included — required a separate BI tool | Dashboards in Pulse; BYO BI tool requires Enterprise tier | Not included — requires Looker ($3K–$10K/mo), Tableau, or another BI tool | 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 | Full flexibility — but every metric must be defined, documented, and maintained by your team | Custom dashboards and reports available | Not included — requires dbt or custom SQL views you build and maintain | Custom Glew measures only on Glew Plus (custom pricing) | Full flexibility — but every metric must be defined, documented, and maintained by your data team | Workflow-based transformations within Rivery — but future availability uncertain | Custom business logic and visualization on Enterprise plan only | Must be defined and maintained by your data team in dbt or SQL views | Not included — required dbt or custom SQL on a separate warehouse |
| SQL / Export / API Access | Managed BigQuery warehouse with included compute and unlimited storage — any tool that supports BigQuery connects natively | Full control — but you provision, manage, and pay for your own warehouse infrastructure | Warehouse connections to Snowflake, BigQuery, Redshift — you manage the infrastructure | Loads data into your warehouse — but you manage the warehouse and pay for it separately | Warehouse access only on Glew Plus (custom pricing); Pro has no warehouse | Full SQL access — but you manage the warehouse, pay for compute, and maintain the infrastructure | Loaded into your warehouse — but Rivery's future as a standalone product is unclear | SQL access is a paid add-on on Growth plan; included on Enterprise | Full SQL warehouse — but credit-based pricing means cost scales with every query | Loaded into your warehouse — but Stitch is no longer maintained |
| Support & Success | Dedicated US-based CSA, included quarterly solution hours, and structured roadmapping | You are the support team | Implementation fees required; ongoing support often billable | Ticket-based support; dedicated engineering resources required | Chat/Ticket support; dedicated success manager often tiered | Ticket-based support; dedicated engineering resources required | Ticket-based support; dedicated engineering resources required | Implementation fees required; dedicated support often billable | Ticket-based support; dedicated engineering resources required | Ticket-based support; dedicated engineering resources required |
Tools for getting marketing data into spreadsheets or dashboards. Good for basic reporting, but lacks full ecommerce context.
Marketing data
Marketing data
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