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Comparing Blendo with Rows.com and Weld

Carolina Russ
Carolina Russ6 min read
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What is Blendo

Blendo is a cloud-based ETL service that simplifies collecting data from popular SaaS tools (marketing, analytics, CRM) and loading it into a data warehouse or BI tool. It focuses on quick setup, automated schema updates, and easy data enrichment for marketers and analysts.

Pros

  • Quick setup for popular marketing and product analytics sources with pre-built dashboards.
  • Handles incremental syncs and auto-updates when source schemas change.
  • Offers a unified metrics layer with common definitions (e.g., MRR, CAC) out-of-the-box.

Cons

  • Niche focus on marketing/product analytics—fewer connectors for general-purpose ETL.
  • Transformation capabilities are limited to simple mappings; complex needs require additional tools.
  • Pricing scales quickly as more sources are connected or higher sync frequency is needed.

Blendo Pricing:

What I like about Blendo

Blendo’s turnkey dashboards and consolidated metrics saved us weeks of manual work—data from all our marketing tools was in BigQuery overnight.

What I dislike about Blendo

Limited customization: can’t define complex transformation logic beyond basic field mappings and date handling.
Read full review

What is Rows.com

Rows.com is a next-generation spreadsheet platform that natively integrates with hundreds of SaaS APIs, databases, and BI tools. It automates data imports (ELT) directly into your spreadsheet, lets you build dashboards and reports, and supports scripting and automation—all inside a familiar spreadsheet interface.

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.
Read full review

What is Weld

Weld is a powerful ETL platform that seamlessly integrates ELT, data transformations, reverse ETL, and AI-assisted features into one user-friendly solution. With its intuitive interface, Weld makes it easy for anyone, regardless of technical expertise, to build and manage data workflows. Known for its premium quality connectors, all built in-house, Weld ensures the highest quality and reliability for its users. It is designed to handle large datasets with near real-time data synchronization, making it ideal for modern data teams that require robust and efficient data integration solutions. Weld also leverages AI to automate repetitive tasks, optimize workflows, and enhance data transformation capabilities, ensuring maximum efficiency and productivity. Users can combine data from a wide variety of sources, including marketing platforms, CRMs, e-commerce platforms like Shopify, APIs, databases, Excel, Google Sheets, and more, providing a single source of truth for all their data.

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.
Read full review

Blendo vs Rows.com: Ease of Use and User Interface

Blendo

Blendo’s web UI focuses on connecting predefined sources (select connector, authenticate, choose tables). Once set, data flows automatically on a schedule. Very little configuration needed—ideal for marketers/analysts.

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.

Blendo vs Rows.com: Pricing Transparency and Affordability

Blendo

Plans start at $100/month for 1 source, 1 warehouse, and 1 dashboard sync. Higher tiers add connectors and more frequent syncs. Good value for small analytics use cases, but costs increase if you add many sources.

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.

Blendo vs Rows.com: Comprehensive Feature Set

Blendo

Features: SaaS connectors (marketing, CRM, product), incremental sync, metrics layer, pre-built BI dashboards (Data Studio, Looker), monitoring & alerts. Limited to analytics-focused data; no general-purpose ETL 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.

Blendo vs Rows.com: Flexibility and Customization

Blendo

Users can define custom SQL transformations on the loaded data via a “SQL runner” feature, but most heavy transformations are done post-load in the warehouse or BI tool. No built-in Python/JS transforms.

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 Blendo vs Rows.com vs Weld

WeldBlendoRows.com
Connectors200+30++
Price€99 / 2 connectorsSmall plan starts ~$100/month; scales by data volume and connector countFree / starts at $39/user/mo for Pro
Free tierNoYesYes
LocationEUSofia, Bulgaria (HQ) + USA officesUS
Extract data (ETL)YesYesYes
Sync data to HubSpot, Salesforce, Klaviyo, Excel etc. (reverse ETL)YesNoNo
TransformationsYesNoYes
AI AssistantYesNoNo
On-PremiseNoNoNo
OrchestrationYesYesYes
LineageYesNoNo
Version controlYesNoNo
Load data to and from ExcelYesNoYes
Load data to and from Google SheetsYesNoYes
Two-Way SyncYesNoNo
dbt Core IntegrationYesNoNo
dbt Cloud IntegrationYesNoNo
OpenAPI / Developer APIYesNoNo
G2 Rating4.84.3

Conclusion

You’re comparing Blendo, Rows.com, Weld. Each of these tools has its own strengths:

  • Blendofeatures: saas connectors (marketing, crm, product), incremental sync, metrics layer, pre-built bi dashboards (data studio, looker), monitoring & alerts. limited to analytics-focused data; no general-purpose etl features. plans start at $100/month for 1 source, 1 warehouse, and 1 dashboard sync. higher tiers add connectors and more frequent syncs. good value for small analytics use cases, but costs increase if you add many sources. .
  • Rows.comrows.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..
  • Weldweld 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..
Review the detailed sections above—connectors, pricing, feature set, and integrations—and choose the one that best matches your technical expertise, budget, and use cases.

Want to try a better alternative? Try Weld for free today.