Source Medium gives you SQL access to your data. Polar gives you answers without writing queries.
Outgrow your Looker dashboards: Polar vs Source Medium
Below is a comparison table between Polar Analytics and Source Medium, followed by a list of competitor-unique features.

Got Questions? We've Got Answers
Overview of Source Medium
Source Medium is an ecommerce reporting platform that aggregates data from ad platforms and Shopify into dashboards built on Looker Studio. It focuses on consolidating marketing data for unified reporting but has no attribution engine or tracking pixel.
Pros
- Aggregates ad platform and Shopify data into unified reports
- Familiar Looker Studio interface for teams already using Google tools
- Good for basic cross-channel spend reporting
Cons
- Relies on Looker Studio - no native dashboard interface
- No attribution engine, pixel, or tracking of any kind
- Per-brand pricing (~$500/brand) gets expensive as brand count scales
1. Alternative - Polar Analytics
All-in-one ecommerce data stack with a native purpose-built UI, attribution, BI, and AI agents. 100+ integrations, dedicated Snowflake, and predictable agency pricing - no Looker dependency.
Pros
- Full data stack - attribution + BI + AI agents + dedicated Snowflake warehouse in one platform
- Dedicated Snowflake data warehouse per customer - full SQL access, raw data export, and 100% data ownership
- Built-in incrementality and geo lift testing to measure true causal impact of ad spend
- Deterministic multi-touch attribution with 10+ models across all channels
- 45+ native integrations - ads, email, SMS, Shopify, ERPs, and more
Cons
- Shopify-focused - not built for non-ecommerce verticals
- Feature depth may be more than needed for very small brands just starting out
2. Alternative - Triple Whale
Shopify analytics platform with native dashboards, attribution, and creative analytics. A step up from Looker-based tools for Shopify-only brands.
Pros
- Native dashboard interface - no Looker dependency
- Attribution with tracking pixel
- Creative analytics with Creative Cockpit
Cons
- Shopify-only - no multi-platform
- Expensive GMV-based pricing
- Limited to 44 integrations
3. Alternative - Lifetimely
Affordable Shopify analytics app focused on LTV, cohorts, and profit tracking. Simple alternative for brands wanting basic reporting without Looker.
Pros
- Great LTV and cohort analysis
- Affordable at $149/mo
- Easy Shopify install - no Looker needed
Cons
- No attribution or tracking
- Very limited reporting customization
- Shopify-only
4. Alternative - Daasity
Data analytics platform for DTC and CPG brands built on top of Looker. Aggregates Shopify, Amazon, and wholesale data with a professional services model. Good for enterprise brands with data teams, but requires paid consulting for custom reports, has no native attribution engine, and locks you into Looker dependency.
Pros
- Native dashboards - no Looker dependency
- Omnichannel support including retail
- Data warehouse capabilities
Cons
- Complex setup with learning curve
- Expensive starting at $999/mo
- Less intuitive interface
5. Alternative - Glew
Ecommerce analytics platform offering pre-built dashboards, audience segmentation, and multi-channel reporting across Shopify, BigCommerce, and Amazon. Covers merchandising and inventory metrics, but users report slow load times, platform stability issues, and limited integrations on lower-tier plans. No attribution or pixel included.
Pros
- Pre-built customer segments with Klaviyo export
- Multi-platform support
- Native dashboards - no Looker needed
Cons
- Slow and unstable platform
- Very poor customer support
- No attribution or tracking
6. Alternative - Northbeam
ML-powered attribution platform offering multi-touch attribution, media mix modeling (MMM+), and cross-channel measurement. Targets mid-market and enterprise brands with sophisticated statistical models, but requires 6-8 months of onboarding data, starts at $1,000+/month, and provides no BI dashboards or data warehouse.
Pros
- Multi-touch attribution
- MMM+ for budget planning
- Native interface - no Looker
Cons
- Attribution-only - no full BI
- Expensive ($1,000+/mo)
- Long onboarding
7. Alternative - Supermetrics
Data extraction and ETL tool that pulls marketing data from 100+ ad platforms into spreadsheets, Looker Studio, and data warehouses. Affordable and flexible for data pipelines, but provides no attribution, no dashboards, and no tracking pixel - it moves data but generates zero insights on its own.
Pros
- Most connectors in the market
- Flexible output destinations
- Affordable starting price
Cons
- Data pipe only - no insights
- Still requires Looker or Sheets for dashboards
- No attribution or analytics
8. Alternative - Peel Insights
Shopify analytics app specializing in cohort analysis, customer segmentation, and retention metrics. Provides automated daily reports, product analytics, and audience building for Meta and Google. Affordable and easy to set up, but limited to Shopify, offers no attribution or ad tracking, and lacks custom reporting depth for scaling brands.
Pros
- Native dashboards with clean UI
- Strong cohort and retention analytics
- Easy setup
Cons
- Shopify-only
- No attribution
- Limited customization
9. Alternative - Google Analytics 4
Google's free, event-based web analytics successor to Universal Analytics. Offers cross-device tracking, BigQuery export, and predictive audiences for Google Ads. Powerful for web traffic analysis, but requires extensive custom event configuration for ecommerce, samples data at high volumes, and defaults to last-click attribution biased toward Google channels.
Pros
- Free
- Deep web analytics
- BigQuery export
Cons
- Complex ecommerce setup
- No profit or LTV metrics
- Data sampling issues
10. Alternative - Looker Studio
Google's free data visualization tool (formerly Google Data Studio) for building custom dashboards from multiple data sources. Highly flexible and integrates natively with the Google ecosystem, but requires manual connector setup, ongoing maintenance, and custom formula creation. No pre-built ecommerce logic, and dashboards frequently break when connectors update.
Pros
- Free and highly customizable
- Connects to many data sources
- Large template community
Cons
- Requires technical expertise to build useful dashboards
- No built-in ecommerce metrics or attribution
- Slow with large datasets - same limitations Source Medium inherits
Growth stories from Polar users
Why brands prefer Polar



















































.webp)


