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.”
You’re comparing Blendo vs Dell Boomi vs Weld. Explore how they differ on connectors, pricing, and features.


Loved by data teams from around the world
| Weld | Blendo | Dell Boomi | |
|---|---|---|---|
| Connectors | 200+ | 30+ | 200+ |
| Price | $99 / 5M Active Rows | Small plan starts ~$100/month; scales by data volume and connector count | Subscription-based (per Atom/connection; starts ~$1000/month) |
| Free tier | |||
| Location | EU | Sofia, Bulgaria (HQ) + USA offices | Austin, TX, USA |
| Extract data (ETL) | |||
| Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL) | |||
| Transformations | |||
| AI Assistant | |||
| On-Premise | |||
| Orchestration | |||
| Lineage | |||
| Version control | |||
| Load to/from Excel | Yes (via ODBC/JDBC) | ||
| Load to/from Google Sheets | |||
| Two-Way Sync | |||
| dbt Core Integration | |||
| dbt Cloud Integration | |||
| OpenAPI / Developer API | |||
| G2 rating | 4.8 | 4.3 | 4.3 |
Overview
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.

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.
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:
“Blendo’s turnkey dashboards and consolidated metrics saved us weeks of manual work—data from all our marketing tools was in BigQuery overnight.”
“Limited customization: can’t define complex transformation logic beyond basic field mappings and date handling.”
Overview
Dell Boomi AtomSphere is a cloud-native iPaaS that provides ETL, API management, B2B/EDI integration, and workflow automation via a visual “Atom” runtime architecture. It supports 200+ connectors (SaaS, on-prem, databases) and allows users to build, deploy, and manage integration processes (called Atoms) in a drag-and-drop interface. Boomi’s AtomSphere runs on a lightweight runtime engine that can be deployed in the cloud or on-premise for hybrid scenarios.

200+ connectors for SaaS, on-prem, and big data sources.
Cloud-native or on-prem Atom runtime allows hybrid deployments.
Visual process designer with drag-and-drop mapping, enriched by shape-specific logic (e.g., function, decision, loop).
Built-in error handling, version control, and CI/CD integration.
Costly licensing structure (per-connection, per-Atom), which can escalate for high throughput or many connectors.
Complex transformations sometimes still require scripting (JavaScript/Groovy), reducing low-code benefits for advanced scenarios.
Learning curve: mastering Atoms, Molecules, and hybrid architecture requires time, particularly for non-technical users.
Dell Boomi Documentation:
“Boomi’s AtomSphere makes deploying integration processes easy—Atommachines can run anywhere (cloud or on-prem), and the visual interface is intuitive for building mappings.”
“Licensing can be expensive, especially for high-volume data. Complex integrations can require coding despite the low-code promise.”
Overview
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.
Lineage, orchestration, and workflow features
Ability to handle large datasets and near real-time data sync
ETL + reverse ETL in one
User-friendly and easy to set up
Flat monthly pricing model
200+ connectors (Shopify, HubSpot, etc.)
AI assistant
Requires some technical knowledge around data warehousing and SQL
Limited features for advanced data teams
Focused on cloud data warehouses
A reviewer on G2 said:
“Weld is still limited to a certain number of integrations - although the team is super interested to hear if you need custom integrations.”




Side-by-side

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.

Boomi’s Integration Builder uses a web-based canvas to create process flows. Connectors and maps are configured via dialogs. Error-handling, version control, and deployment controls are integrated. Some users find building very complex workflows cumbersome despite the visual design.
Weld is highly praised for its user-friendly interface and intuitive design, which allows even users with minimal SQL experience to manage data workflows efficiently. This makes it an excellent choice for smaller data teams or businesses without extensive technical resources.
Side-by-side
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.
Boomi’s Integration Builder uses a web-based canvas to create process flows. Connectors and maps are configured via dialogs. Error-handling, version control, and deployment controls are integrated. Some users find building very complex workflows cumbersome despite the visual design.
Weld is highly praised for its user-friendly interface and intuitive design, which allows even users with minimal SQL experience to manage data workflows efficiently. This makes it an excellent choice for smaller data teams or businesses without extensive technical resources.
Side-by-side

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.

Boomi’s pricing is multi-faceted—permanent Atom licenses, per-connection pricing, and usage-based charges for transactions. SMBs may need to request custom quotes to stay within budget.
Weld offers a straightforward and competitive pricing model, starting at $79 for 5 million active rows, making it more affordable and predictable, especially for small to medium-sized enterprises.
Side-by-side
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.
Boomi’s pricing is multi-faceted—permanent Atom licenses, per-connection pricing, and usage-based charges for transactions. SMBs may need to request custom quotes to stay within budget.
Weld offers a straightforward and competitive pricing model, starting at $79 for 5 million active rows, making it more affordable and predictable, especially for small to medium-sized enterprises.
Side-by-side

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.

Features: ETL/ELT processes, API management, EDI/B2B integration, workflow automation, data quality, and master data management. It also offers training, community forums, and professional services.
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.
Side-by-side
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.
Features: ETL/ELT processes, API management, EDI/B2B integration, workflow automation, data quality, and master data management. It also offers training, community forums, and professional services.
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.
Side-by-side

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.

Custom scripting is supported via Groovy or JavaScript for complex transforms. Atoms can be deployed virtually anywhere for hybrid use cases. However, you rely on Boomi for core engine updates; it’s not open-source.
Weld offers advanced SQL modeling and transformations directly within its platform with the help of AI, providing users with unparalleled control and flexibility over their data. Leveraging its powerful AI capabilities, Weld automates repetitive tasks and optimizes data workflows, allowing teams to focus on getting value and insights. Additionally, Weld's custom connector framework enables users to build connectors to any API, making it easy to integrate new data sources and tailor data pipelines to meet specific business needs. This flexibility is particularly beneficial for teams looking to customize their data integration processes extensively and maximize the utility of their data without needing external tools.
Side-by-side
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.
Custom scripting is supported via Groovy or JavaScript for complex transforms. Atoms can be deployed virtually anywhere for hybrid use cases. However, you rely on Boomi for core engine updates; it’s not open-source.
Weld offers advanced SQL modeling and transformations directly within its platform with the help of AI, providing users with unparalleled control and flexibility over their data. Leveraging its powerful AI capabilities, Weld automates repetitive tasks and optimizes data workflows, allowing teams to focus on getting value and insights. Additionally, Weld's custom connector framework enables users to build connectors to any API, making it easy to integrate new data sources and tailor data pipelines to meet specific business needs. This flexibility is particularly beneficial for teams looking to customize their data integration processes extensively and maximize the utility of their data without needing external tools.
AWARD WINNING ETL PLATFORM
Spend less time managing data and more time getting real insights.