Weld vs Keboola vs Matillion

FeatureWeldKeboolaMatillion
Core Platform
Starting price
From $99/mo (flat)
Credit-based, custom depending on usage
Credit-based usage ($2.00 per credit)
Free tier
Free trial
Yes
No
Connectors
300+
700+
150+
Deployment
SaaS
SaaS
SaaS, Self-hosted
Connectors & Sync
Data ingestion (ELT)
Yes
Yes
Yes
Reverse ETL
Yes
Yes
No
Fastest sync frequency
1 min
5 min
Schedule-based
Replication & CDC
Full refresh
Yes
Yes
Yes
Incremental
Yes
Yes
Yes
Log-based CDC
Yes
No
Yes
History tables (SCD)
Yes
No
No
Transformations
Transformations
Yes
Yes
Yes
dbt Core
Yes
Yes
No
dbt Cloud
Yes
No
No
AI & Agent Support
Agent API
Connect API
No
Yes
MCP server
Yes
No
No
CLI
Yes
Yes
Yes
REST / OpenAPI
Yes
Yes
Yes
Orchestration & Governance
Orchestration
Yes
Yes
Yes
Data lineage
Yes
Yes
Yes
Version control
Yes
Yes
Yes
Audit logs
Yes
Yes
Yes
Ratings
G2 rating
4.8
4.7
4.3

Weld in Short

Weld is a data pipeline and activation platform built for teams that need reliable ingestion, dbt-powered transformations, and data for AI agents and applications. Its Connect API gives agents and applications programmatic access to data pipelines. With 300+ in-house-built connectors, first-class dbt Core and dbt Cloud support, and near real-time syncs, Weld lets teams move data from any source into their cloud data warehouse and activate it back into business tools.

What Weld does well

  • Agent-native platform with Connect API for programmatic access
  • First-class dbt Core and dbt Cloud integration
  • ELT and reverse ETL in one platform
  • Lineage, orchestration, and workflow features included by default
  • Flat, predictable monthly pricing (MAR-based)
  • 300+ in-house–built, high-quality connectors
  • Handles large datasets and near real-time data sync

Where Weld falls short

  • 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

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.

— G2 review of Weld · Read review

Keboola in Short

Keboola is a cloud-based data operations platform that enables teams to ingest, transform, orchestrate, and manage data pipelines end-to-end. It combines no-code components with support for SQL, Python, and R, and offers a large library of pre-built connectors. Keboola also includes governance features such as versioning, audit logs, and project-level cost tracking. While the platform is flexible and powerful, its modular structure and interface can feel complex for simpler ETL needs.

What Keboola does well

  • Large number of components and connectors
  • Supports custom components with an API-first approach
  • Supports ELT, ETL, and Python/SQL/R-based transformations
  • Strong governance features such as audit logs and versioning

Where Keboola falls short

  • UI can feel complex and overwhelming for new users
  • Orchestration features are functional but not as advanced as dedicated orchestration tools
  • Credit-based pricing can become expensive for growing workloads
  • Smaller community compared to larger ETL platforms

What I like most is that Keboola is a very simple tool, allowing even a single person to manage the data pipelines of a large company."

— G2 review of Keboola · Read review

Matillion in Short

Matillion is a cloud-first ETL/ELT tool designed for building pipelines and transformations in platforms like Snowflake, BigQuery, and Redshift. It offers a low-code interface with scheduling, monitoring, and orchestration features. Matillion is best for teams that want visual pipeline development with cloud data warehouses.

What Matillion does well

  • dbt integration
  • Large number of connectors
  • On premise options
  • Has both ELT and ETL capabilities

Where Matillion falls short

  • Usage-based pricing can spike
  • Higher learning curve for small teams
  • Requires upfront investment and implementation

Built-in connectors to heaps of systems; ability to create custom connectors; active community and quick responses to forum questions

— G2 review of Matillion · Read review

Feature-by-Feature Comparison

Feature
weld logo
keboola 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.

keboola logo

Keboola provides a powerful environment, but the UI can feel complex due to the large number of components and configuration options, making onboarding harder for beginners.

matillion logo

Matillion is a cloud-first ETL/ELT tool with a low-code interface, scheduling, monitoring, and orchestration. It is best for teams that want visual pipeline development with cloud data warehouses.

Pricing & Affordability

Side-by-side

weld logo

Weld offers a simple and predictable pricing model starting at $99 for 5 million active rows. This flat, MAR-based structure makes budgeting straightforward for small and medium-sized teams.

keboola logo

Keboola uses a credit-based pricing model, which offers flexibility but can become costly as workloads scale, especially for users unfamiliar with optimizing credit consumption.

matillion logo

Credit-based usage ($2.00 per credit). Usage-based pricing can spike and requires upfront investment and implementation.

Feature Set

Side-by-side

weld logo

Weld provides ELT ingestion, dbt-powered transformations, reverse ETL activation, data lineage, orchestration, and workflow management in a single platform. Its Connect API enables AI agents and applications to access and orchestrate data programmatically.

keboola logo

The platform includes extensive functionality: connectors, transformations in multiple languages, orchestration, governance tools, and reverse ETL. It is suitable for advanced data teams managing complex pipelines.

matillion logo

dbt integration, large number of connectors, on premise options, both ELT and ETL capabilities. 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 dbt or SQL, automate workflows via the Connect API, and build custom connectors to any API. This provides strong flexibility for teams that want to tailor integrations and enable agent-driven data workflows within one platform.

keboola logo

Keboola is highly customizable, offering an API-first design and the ability to build custom components, though this flexibility requires strong knowledge of the platform and its architecture.

matillion logo

Flexible, visual pipeline development. Higher learning curve for small teams. Overkill for simpler or smaller data operations.