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Weld vs Dell Boomi vs Funnel

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

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Weld vs Dell Boomi vs Funnel

FeatureWeldDell BoomiFunnel
Core Platform
Price
$79 / 5M Active Rows
Subscription-based (per Atom/connection; starts ~$1000/month)
$1.08 / flexpoint per month
Free tier
No
No
Yes
Location
DK, (EU)
Austin, TX, USA
SE
Connectors & Sync
Connectors
200+
200+
500+
Extract data (ETL)
Yes
Yes
Yes
Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL)
Yes
Yes
No
Two-Way Sync
Yes
Yes
No
Transformations & AI
Transformations
Yes
Yes
Yes
AI Assistant
Yes
No
Yes
dbt Core Integration
Yes
No
No
dbt Cloud Integration
Yes
No
No
Governance & DevOps
Orchestration
Yes
Yes
No
Lineage
Yes
Yes
No
Version control
Yes
Yes
No
On-Premise
No
Yes
No
OpenAPI / Developer API
Yes
Yes
No
Integrations
Load to/from Excel
Yes
Yes (via ODBC/JDBC)
Yes
Load to/from Google Sheets
Yes
No
No
Ratings
G2 rating
4.8
4.3
4.5

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

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.

boomi logo

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.

Overview

Funnel in Short

Funnel is a cloud-based marketing data hub designed to centralize, organize, and standardize marketing and advertising data. It allows teams to collect data from hundreds of marketing platforms and deliver it to destinations like BigQuery, Snowflake, Looker Studio, dashboards, and spreadsheets. Funnel is built for non-technical users and focuses specifically on marketing analytics use cases.

funnel logo

Pros

  • User-friendly interface for marketing teams

  • Requires minimal technical expertise

  • Large library of marketing connectors

  • Strong onboarding and customer training

  • Good for centralizing marketing data in one place

Cons

  • Pricing can be expensive and difficult to predict

  • Limited to marketing-specific use cases

  • Reporting and analytics capabilities are basic

  • Less suitable for cross-departmental data needs

  • Can have a steeper learning curve for more complex setups

Reviews & Quotes

A reviewer on G2:

What I like about Funnel

We use Funnel mostly for ingesting data into BigQuery. Using the native connectors is significantly more efficient than building a direct connection to the relevant APIs, particularly for Facebook / Meta data.

What I dislike about Funnel

Recently the price of the platform has gone up. Although it is still priced competitively vs its alternatives.

Feature-by-Feature Comparison

Feature
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boomi logo
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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.

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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.

funnel logo

Funnel provides a clean, intuitive interface designed for marketing teams, making setup straightforward for non-technical users. More complex setups, however, may require additional learning.

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.

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.

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The flexpoints pricing model can be difficult to predict and becomes expensive as data volumes increase, which may pose challenges for smaller businesses.

Feature Set

Side-by-side

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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.

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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.

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Funnel offers over 500 connectors and simple transformation tools, along with strong onboarding support. However, its reporting, modeling, and analytics capabilities remain basic compared to broader data platforms.

Flexibility & Customization

Side-by-side

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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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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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Funnel works well for marketing workflows but lacks the flexibility needed for wider data engineering use cases, cross-team pipelines, or advanced customization.

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