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Weld vs Blendo vs Dell Boomi

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

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Weld vs Blendo vs Dell Boomi

FeatureWeldBlendoDell Boomi
Core Platform
Price
$79 / 5M Active Rows
Plans start around $100/month (varies by connectors and sync frequency)
Subscription-based (per Atom/connection; starts ~$1000/month)
Free tier
No
Yes
No
Location
DK, (EU)
Sofia, Bulgaria (HQ) + USA
Austin, TX, USA
Connectors & Sync
Connectors
200+
30+
200+
Extract data (ETL)
Yes
Yes
Yes
Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL)
Yes
No
Yes
Two-Way Sync
Yes
No
Yes
Transformations & AI
Transformations
Yes
No
Yes
AI Assistant
Yes
No
No
dbt Core Integration
Yes
No
No
dbt Cloud Integration
Yes
No
No
Governance & DevOps
Orchestration
Yes
Yes
Yes
Lineage
Yes
No
Yes
Version control
Yes
No
Yes
On-Premise
No
No
Yes
OpenAPI / Developer API
Yes
No
Yes
Integrations
Load to/from Excel
Yes
No
Yes (via ODBC/JDBC)
Load to/from Google Sheets
Yes
No
No
Ratings
G2 rating
4.8
4.3
4.3

Overview

Weld in Short

Weld is a unified ELT and data activation platform that combines ingestion, modeling, transformations, orchestration, lineage, and reverse ETL in a single SaaS interface. With premium in-house–built connectors, an intuitive UI, and near real-time syncs, Weld enables both technical and non-technical users to create and manage data workflows efficiently. Weld also includes an AI assistant to support SQL modeling, generate transformations, and streamline repetitive tasks. Teams can ingest data from a wide range of sources—including marketing platforms, CRMs, databases, Google Sheets, Excel, and APIs—into their cloud data warehouse and activate it back into business tools.

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Pros

  • Lineage, orchestration, and workflow features included by default

  • Handles large datasets and near real-time data sync

  • ELT and reverse ETL in one platform

  • User-friendly interface with minimal setup required

  • Flat, predictable monthly pricing model

  • 200+ in-house–built, high-quality connectors

  • AI assistant for modeling and transformations

Cons

  • Some SQL knowledge is useful for advanced modeling

  • Optimized for cloud-warehouse workflows (Snowflake, BigQuery, Redshift, etc.)

  • Feature set is streamlined for modern ELT/activation use cases

Reviews & Quotes

A reviewer on G2 said:

What I like about Weld

Weld’s graphical interface is intuitive and easy to work with, even for teams with limited SQL experience. Its flexibility across sources—from databases to Google Sheets and APIs—made onboarding smooth, and performance across larger workloads was consistently strong. Support was responsive and helpful throughout our setup and ongoing use.

Overview

Blendo in Short

Blendo is a cloud-based ETL service focused on collecting data from SaaS tools, particularly marketing, analytics, and CRM platforms and loading it into data warehouses and BI tools. It offers quick setup, automated schema updates, and analytics-ready data models designed for business teams.

blendo logo

Pros

  • Fast setup for popular marketing, CRM, and product analytics connectors.

  • Supports incremental syncs and automatic schema updates.

  • Provides analytics-ready metrics models (e.g., MRR, CAC) and optional pre-built dashboards.

Cons

  • Narrow connector catalog focused mainly on marketing and analytics tools.

  • Only basic transformation support—complex transformations require warehouse or BI tooling.

  • Pricing increases with more connectors or higher sync frequency.

Reviews & Quotes

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: cannot define complex transformation logic beyond basic mappings and formatting.

Overview

Dell Boomi in Short

Dell Boomi AtomSphere is a cloud-native iPaaS that provides ETL, ELT, API management, B2B/EDI integration, and workflow automation using its Atom runtime architecture. It includes 200+ connectors across SaaS, on-premises systems, and databases. Pipelines and integrations are created in a visual drag-and-drop interface, and Boomi’s lightweight Atom engine can be deployed both in the cloud and on-premise to support hybrid integration scenarios.

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Pros

  • 200+ connectors for SaaS, databases, on-prem systems, and big data sources.

  • Hybrid deployment options via Boomi Atoms (cloud, on-prem, or private environments).

  • Visual process designer with drag-and-drop mapping and component-specific logic.

  • Built-in version control, error handling, and CI/CD integration.

Cons

  • Licensing costs can increase quickly based on Atom count and connector usage.

  • Advanced transformations may require scripting (JavaScript or Groovy).

  • Learning curve for understanding Atom, Molecule, and hybrid deployment models.

Reviews & Quotes

Dell Boomi Documentation:

What I like about Dell Boomi

Boomi’s AtomSphere makes deploying integration processes easy—Atoms can run anywhere, and the visual interface is intuitive for building mappings.

What I dislike about Dell Boomi

Licensing can be expensive, especially for high-volume data. Complex integrations can require coding despite the low-code promise.

Feature-by-Feature Comparison

Feature
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Ease of Use & Interface

Side-by-side

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Weld’s interface is built for clarity and speed, enabling users with varying levels of technical experience to manage data pipelines and models efficiently. Its built-in lineage and orchestration tools provide transparency across workflows.

blendo logo

Blendo provides a simple UI where users authenticate connectors, select objects, and schedule syncs. It's designed for non-technical users who need analytics-ready data with minimal configuration.

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Boomi’s Integration Builder provides a web-based canvas for designing integration processes. While the drag-and-drop interface is intuitive for typical workflows, complex multi-step pipelines can become challenging to maintain.

Pricing & Affordability

Side-by-side

weld logo

Weld offers a simple and predictable pricing model starting at $79 for 5 million active rows. This flat, usage-transparent structure makes budgeting straightforward for small and medium-sized teams.

blendo logo

Pricing typically starts around $100/month for a limited number of sources and scheduled syncs. Additional connectors and higher-frequency syncs increase the cost. The free tier supports limited testing.

boomi logo

Boomi uses a subscription model based on Atom runtime usage, connector limits, and transaction volumes. Pricing generally starts around $1,000 per month, with higher tiers for larger workloads. Smaller teams may find the model expensive.

Feature Set

Side-by-side

weld logo

Weld provides ELT ingestion, SQL-based transformations, reverse ETL activation, data lineage, orchestration, and workflow management in a single platform. Its AI assistant accelerates modeling and transformation tasks.

blendo logo

Blendo offers SaaS connectors, incremental syncs, automated schema handling, optional metrics models, and pre-built dashboards for common analytics use cases. It does not include a full transformation engine.

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Key features include ETL/ELT processes, API management, EDI/B2B capabilities, workflow automation, master data management, and data quality tools. The platform also provides monitoring, alerts, and enterprise-level governance capabilities.

Flexibility & Customization

Side-by-side

weld logo

Users can model data using SQL enhanced by Weld’s AI assistant, automate workflows, and build custom connectors to any API. This provides strong flexibility for teams that want to tailor integrations and transformations within one platform.

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Supports simple field mappings and offers a SQL-based post-load transformation option, but lacks scripting or complex transformation workflows. Best suited for straightforward analytics pipelines.

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Boomi supports Groovy and JavaScript for custom transformations, and Atoms can be deployed in any environment for hybrid use cases. Pipelines can be parameterized, integrated with CI/CD, and triggered via REST APIs. As a proprietary platform, core engine enhancements depend on Boomi’s roadmap.

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CUSTOMER STORIES

The latest success stories from data-driven companies

Jacob Poulsen, Head of Marketing Expansion at Flatpay logo

How Flatpay optimized marketing efficiency with Weld

One of the biggest impacts has been unlocking new ways to buy media. Before, we didn’t have the data to back up strategic decisions – now we do.
Jacob Poulsen, Head of Marketing Expansion at Flatpay
Rodrigo Andres Valle, Data Engineer at Holafly logo

How Holafly transformed data management and scaled globally with Weld

Before Weld, we had to rely on custom Python scripts and manual processes that were time-consuming and error-prone.
Rodrigo Andres Valle, Data Engineer at Holafly
Michael Howes, Head of Data & Insights at Dishoom logo

How Dishoom scaled data operations without scaling its team

We’re still a team of three, but we’re often doing far more than the equivalent of three full-time employees. That’s down to how we're able to leverage systems, data, and processes.
Michael Howes, Head of Data & Insights at Dishoom
Sven Hasenberg, CFO, VitaMoment logo

Inside VitaMoment’s Journey to KPI-Driven Growth and Data Ownership

We’ve always been a KPI-driven company. But we wanted to scale that mindset across every team member, every team, every decision.
Sven Hasenberg, CFO, VitaMoment
Temur Makhsudov, Head of BI and Operations logo

How Danish Endurance boosted profitability by 77 % and transformed data management with Weld

Before Weld, our data infrastructure was limited and we relied heavily on Excel files and custom Python scripts.
Temur Makhsudov, Head of BI and Operations
Matias Voldby Drejer, BI Lead logo

How Female Invest centralized data management and saved resources with Weld

Weld has saved us a ton of time, from not having data ready to having a fully functional data warehouse and connectors.
Matias Voldby Drejer, BI Lead
Jonas Iversen, Tech Lead Data logo

How Soundboks streamlined data integration with Weld, S3, and Databricks

By integrating Weld, Amazon S3, and Databricks, Soundboks built a modern data pipeline that automates data ingestion, improves reporting, and provides up-to-date visibility into sales performance
Jonas Iversen, Tech Lead Data
Jens Karstoft, Chief Operating Officer at Roccamore logo

How Roccamore unlocked better business insights with Weld

We didn’t have a good data setup, so we lacked the business insights we needed. Weld has allowed us to set up a structured data infrastructure and access insights quickly.
Jens Karstoft, Chief Operating Officer at Roccamore

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