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Weld vs Improvado vs Matillion

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

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improvado logo
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Weld vs Improvado vs Matillion

FeatureWeldImprovadoMatillion
Core Platform
Price
$79 / 5M Active Rows
Custom
Consumption-based, credits
Free tier
No
No
No
Location
DK, (EU)
US
UK
Connectors & Sync
Connectors
200+
500+
150+
Extract data (ETL)
Yes
Yes
Yes
Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL)
Yes
No
No
Two-Way Sync
Yes
No
No
Transformations & AI
Transformations
Yes
Yes
Yes
AI Assistant
Yes
Yes
Yes
dbt Core Integration
Yes
No
No
dbt Cloud Integration
Yes
No
No
Governance & DevOps
Orchestration
Yes
No
Yes
Lineage
Yes
No
Yes
Version control
Yes
No
Yes
On-Premise
No
No
No
OpenAPI / Developer API
Yes
No
Yes
Integrations
Load to/from Excel
Yes
No
Yes
Load to/from Google Sheets
Yes
No
Yes
Ratings
G2 rating
4.8
4.5
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.

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

Improvado in Short

Improvado is an AI-powered marketing analytics platform that automates data integration, transformation, and reporting. It connects to over 500 marketing, sales, and analytics platforms, offering a fully managed data pipeline and AI Agents for campaign governance, insights, and reporting.

improvado logo

Pros

  • 500+ pre-built data connectors

  • Advanced AI Agents for campaign governance and reporting

  • Supports enterprise-grade transformations

  • Custom integration with any API via AI sandbox

  • Managed data warehouses and BI dashboard compatibility

Cons

  • Pricing is custom and may be expensive for small teams

  • AI Agent features are add-ons

  • No native Excel or Sheets sync

Reviews & Quotes

A reviewer on G2:

What I like about Improvado

Improvado has been surprisingly easy to use. Within just a few clicks we have been able to integrate all our media platforms into our datalake. The numerous in-depth guides make this process very easy.

Overview

Matillion in Short

Matillion is a cloud-native data integration and transformation platform built for modern cloud data warehouses such as Snowflake, Redshift, Databricks, and BigQuery. It provides visual, low-code pipeline development with strong orchestration and transformation capabilities, making it suitable for enterprise-scale workloads. While powerful, it is often considered more complex and better suited for mature data teams.

matillion logo

Pros

  • Large library of connectors

  • Strong orchestration and transformation features

  • Suitable for large enterprises with complex data workloads

  • Supports both ETL and ELT patterns

  • Flexible, visual pipeline development

Cons

  • Can be expensive for smaller teams

  • Steep learning curve for non-technical users

  • Overkill for simpler or smaller data operations

Reviews & Quotes

A reviewer on G2 said::

What I like about Matillion

Built-in connectors to many systems, ability to create custom connectors, and an active community with quick responses to technical questions.

What I dislike about Matillion

Some components feel clunky, and certain cloud features lag behind older versions.

Feature-by-Feature Comparison

Feature
weld logo
improvado logo
matillion 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.

improvado logo

Improvado features a clean UI and guided setup, making it easy to extract, transform, and load data from various marketing platforms. Users can explore APIs via natural language using the AI Agent.

matillion logo

Matillion offers a visual interface but still requires technical knowledge to use effectively, especially for more advanced transformations and orchestration.

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.

improvado logo

Improvado’s pricing is custom and varies by data volume, sync frequency, and add-on features. While potentially costly, it's suited to enterprise use cases requiring robust data infrastructure.

matillion logo

Matillion uses a consumption-based pricing model that can become costly as workloads grow, making it less accessible for smaller teams or early-stage companies.

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.

improvado logo

The platform includes a complete ELT pipeline, campaign governance, marketing data transformation, and AI-powered reporting. It supports custom integrations and harmonization via no-code tools.

matillion logo

Matillion provides extensive transformation, orchestration, and data integration features with a large connector ecosystem. However, it focuses heavily on ETL/ELT and does not cover end-to-end data activation or reverse ETL.

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.

improvado logo

Improvado is highly flexible, with the ability to integrate with any API via AI Agents and sandbox testing. It offers deep customization in pipelines and dashboards for large-scale marketing operations.

matillion logo

Matillion is highly flexible for complex enterprise pipelines, but the platform’s depth can introduce complexity, making it less suitable for teams seeking a simple or lightweight solution.

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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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