Comparing Polar Analytics with Rows.com and Weld



What is Polar Analytics
Pros
- Tailored for DTC brands
- Comprehensive marketing and sales insights
- Easy integration with popular eCommerce platforms
- User-friendly interface with powerful dashboards
- Helps optimize marketing ROI with data-driven insights
Cons
- Primarily focused on DTC, limiting broader use cases
- Can be expensive for small brands
- Advanced features may require some learning
A reviewer on G2:
What I like about Polar Analytics
Polar Analytics has revolutionized how we view our marketing data. The integration with our eCommerce and marketing platforms has given us deep insights that were previously hard to uncover. It's an essential tool for any DTC brand looking to scale effectively.
What I dislike about Polar Analytics
What is Rows.com
Pros
- Native connectors to 500+ SaaS tools (partnerships with major APIs)
- Automates ELT directly into the spreadsheet—no separate pipeline to maintain
- Built-in charting, collaboration, and dashboard capabilities
- Supports JavaScript and Python formulas for advanced automation
- Free plan available with core features
Cons
- Heavy API-dependent sheets can lag when importing large datasets
- Some enterprise connectors and advanced automations require paid plans
- Not designed for full data-warehouse scale—best for mid-size data tables
From Rows.com user reviews:
What I like about Rows.com
Rows makes it incredibly easy to pull in data from our marketing, sales, and finance tools without writing a single line of code.
What I dislike about Rows.com
While powerful, complex workflows can become slow if too many API calls are chained together in a single sheet.
What is Weld
Pros
- Premium quality connectors and reliability
- User-friendly and easy to set up
- AI assistant
- Very competitive and easy-to-understand pricing model
- Reverse ETL option
- Lineage, orchestration, and workflow features
- Advanced transformation and SQL modeling capabilities
- Ability to handle large datasets and near real-time data sync
- Combines data from a wide range of sources for a single source of truth
Cons
- Requires some technical knowledge around data warehousing and SQL
- Limited features for advanced data teams
A reviewer on G2 said:
What I like about Weld
First and foremost, Weld is incredibly user-friendly. The graphical interface is intuitive, which makes it easy to build data workflows quickly and efficiently. Even with little experience in SQL and pipeline management, we found that Weld was straightforward and easy to use. What really impressed me, however, was Weld's flexibility. It was able to handle data from a wide variety of sources, including SQL databases, Google Sheets, and even APIs. The solution also allowed us to customize my data transformations in a way that best suited my needs. Whether I needed to clean data, join tables, or aggregate data, Weld had the necessary tools to accomplish the task. Weld's performance was also exceptional. I was able to run large-scale ETL jobs quickly and efficiently, with minimal downtime via a Snowflake instance and visualization via own-hosted Metabase. The solution's scalability meant that I could process more data without any issues. Another standout feature of Weld was its support. I never felt lost or unsure about how to use a particular feature, as the support team was always quick to respond to any questions or concerns that I had. Overall, I highly recommend Weld as an ETL solution. Its user-friendliness, flexibility, performance, and support make it an excellent choice for anyone looking to streamline their data integration processes. I will definitely be using Weld for all my ETL needs going forward.
What I dislike about Weld
Weld is still limited to a certain number of integrations - although the team is super interested to hear if you need custom integrations.
Polar Analytics vs Rows.com: Ease of Use and User Interface
Polar Analytics
Polar Analytics offers a user-friendly interface, particularly beneficial for DTC brands that require an intuitive platform to analyze marketing and sales data.
Rows.com
Rows.com feels like a modern spreadsheet but with built-in API connectors. Non-technical users can browse pre-built integrations, while power users can script custom workflows in JavaScript or Python.
Polar Analytics vs Rows.com: Pricing Transparency and Affordability
Polar Analytics
Pricing at €399 per month, Polar Analytics can be considered expensive, especially for small brands with limited budgets. However, it provides good value for those needing in-depth marketing analytics.
Rows.com
A free tier covers most basic import needs. Paid plans start at $39/user/month for Pro, which unlocks advanced integrations, higher API quotas, and dedicated support. Enterprise pricing is custom.
Polar Analytics vs Rows.com: Comprehensive Feature Set
Polar Analytics
The platform provides comprehensive marketing and sales insights with easy integration into popular eCommerce platforms. Its tailored focus on DTC brands ensures relevant and valuable features.
Rows.com
Rows.com offers ELT connectors, in-sheet data transformations (via formulas or scripts), scheduling/automation, native charting and dashboards, real-time collaboration, and Jira/Slack notifications. It bridges spreadsheet flexibility with ETL and BI tooling.
Polar Analytics vs Rows.com: Flexibility and Customization
Polar Analytics
Polar Analytics is primarily focused on DTC brands, which may limit its flexibility for broader use cases. However, within its niche, it offers powerful tools to optimize marketing strategies effectively.
Rows.com
Users can write custom JavaScript/Python functions directly in cells, chain API calls across sheets, and build automated workflows (e.g., “every morning, pull this data and send a Slack alert”). It’s highly customizable for spreadsheet-centric data work.
Summary of Polar Analytics vs Rows.com vs Weld
Weld | Polar Analytics | Rows.com | |
---|---|---|---|
Connectors | 200+ | 60+ | + |
Price | €99 / 2 connectors | €399 / month | Free / starts at $39/user/mo for Pro |
Free tier | No | No | Yes |
Location | EU | FR | US |
Extract data (ETL) | Yes | Yes | Yes |
Sync data to HubSpot, Salesforce, Klaviyo, Excel etc. (reverse ETL) | Yes | No | No |
Transformations | Yes | Yes | Yes |
AI Assistant | Yes | No | No |
On-Premise | No | No | No |
Orchestration | Yes | No | Yes |
Lineage | Yes | No | No |
Version control | Yes | No | No |
Load data to and from Excel | Yes | No | Yes |
Load data to and from Google Sheets | Yes | No | Yes |
Two-Way Sync | Yes | No | No |
dbt Core Integration | Yes | No | No |
dbt Cloud Integration | Yes | No | No |
OpenAPI / Developer API | Yes | No | No |
G2 Rating | 4.8 | 4.5 |
Conclusion
You’re comparing Polar Analytics, Rows.com, Weld. Each of these tools has its own strengths:
- Polar Analytics: the platform provides comprehensive marketing and sales insights with easy integration into popular ecommerce platforms. its tailored focus on dtc brands ensures relevant and valuable features.. pricing at €399 per month, polar analytics can be considered expensive, especially for small brands with limited budgets. however, it provides good value for those needing in-depth marketing analytics..
- Rows.com: rows.com offers elt connectors, in-sheet data transformations (via formulas or scripts), scheduling/automation, native charting and dashboards, real-time collaboration, and jira/slack notifications. it bridges spreadsheet flexibility with etl and bi tooling.. a free tier covers most basic import needs. paid plans start at $39/user/month for pro, which unlocks advanced integrations, higher api quotas, and dedicated support. enterprise pricing is custom..
- Weld: weld integrates elt, data transformations, and reverse etl all within one platform. it also provides advanced features such as data lineage, orchestration, workflow management, and an ai assistant, which helps in automating repetitive tasks and optimizing workflows.. weld offers a straightforward and competitive pricing model, starting at €99 for 2 million active rows, making it more affordable and predictable, especially for small to medium-sized enterprises..