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Weld vs Portable vs Weld

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

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VS
[portable.io](http://portable.io/) logo
VS
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Weld vs Weld vs Portable

FeatureWeldWeldPortable
Core Platform
Price
$79 / 5M Active Rows
$79 / 5M Active Rows
Flat per connector (no volume fees)
Free tier
No
No
Yes
Location
DK, (EU)
DK, (EU)
US
Connectors & Sync
Connectors
200+
200+
1000+
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
No
AI Assistant
Yes
Yes
No
dbt Core Integration
Yes
Yes
No
dbt Cloud Integration
Yes
Yes
No
Governance & DevOps
Orchestration
Yes
Yes
No
Lineage
Yes
Yes
No
Version control
Yes
Yes
No
On-Premise
No
No
No
OpenAPI / Developer API
Yes
Yes
Yes
Integrations
Load to/from Excel
Yes
Yes
No
Load to/from Google Sheets
Yes
Yes
No
Ratings
G2 rating
4.8
4.8
4.8

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.

weld logo

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

Portable in Short

[Portable.io](http://portable.io/) is a cloud-based extract-and-load (EL) platform focused on supporting long-tail data sources. It provides more than 1,000 connectors—including many niche APIs—and offers on-demand custom connector development at no additional cost. Designed primarily for loading data into warehouses, Portable handles API maintenance, schema updates, and rate limits, allowing teams to access a wide range of sources without engineering overhead.

[portable.io](http://portable.io/) logo

Pros

  • Broad connector coverage with over 1,000 sources

  • Custom connectors built on demand at no extra cost

  • Flat per-connector pricing without volume-based fees

  • Fully managed pipelines, including API changes and schema updates

  • Simple setup with minimal configuration required

Cons

  • EL-only platform with no built-in transformation capabilities

  • Cloud-only SaaS with no on-prem deployment

  • Does not support reverse ETL or data activation features

  • Some newly created connectors may require tuning before stabilizing

  • Limited scheduling flexibility compared to full orchestration tools

Reviews & Quotes

G2 Review:

What I like about Portable

They have excellent support and communication in both timelines and quality of response.

What I dislike about Portable

There is a learning curve when working with more complex transformations, and support may be limited for highly specialized setups.

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.

weld logo

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.

Feature-by-Feature Comparison

Feature
weld logo
[portable.io](http://portable.io/) logo
weld logo

Ease of Use & Interface

Side-by-side

weld logo

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.

[portable.io](http://portable.io/) logo

[Portable.io](http://portable.io/) offers a minimal and straightforward interface where users select a source, authenticate, and start loading data. It is designed for quick setup and ease of use, even for non-technical users.

weld logo

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.

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.

[portable.io](http://portable.io/) logo

Portable’s flat per-connector pricing model provides predictable costs and can be more affordable for organizations pulling smaller volumes of data from many sources.

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.

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.

[portable.io](http://portable.io/) logo

The platform prioritizes extensive connector coverage, automatic schema management, and reliable EL pipelines. It does not offer transformation or activation features, expecting those to be handled downstream.

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.

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.

[portable.io](http://portable.io/) logo

While transformations cannot be performed within the platform, Portable’s custom connector development ensures flexibility in what sources can be supported. Its simplicity comes at the cost of deeper customization options.

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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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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