Weld vs Matillion vs Stitch (Qlik)

FeatureWeldMatillionStitch (Qlik)
Core Platform
Starting price
From $99/mo (flat)
Credit-based usage ($2.00 per credit)
$100 / 5M rows
Free tier
Free trial
No
Yes
Connectors
300+
150+
130+
Deployment
SaaS
SaaS, Self-hosted
SaaS
Connectors & Sync
Data ingestion (ELT)
Yes
Yes
Yes
Reverse ETL
Yes
No
No
Fastest sync frequency
1 min
Schedule-based
1 hour
Replication & CDC
Full refresh
Yes
Yes
Yes
Incremental
Yes
Yes
Yes
Log-based CDC
Yes
Yes
Yes
History tables (SCD)
Yes
No
No
Transformations
Transformations
Yes
Yes
Yes
dbt Core
Yes
No
Yes
dbt Cloud
Yes
No
No
AI & Agent Support
Agent API
Connect API
Yes
No
MCP server
Yes
No
No
CLI
Yes
Yes
No
REST / OpenAPI
Yes
Yes
Yes
Orchestration & Governance
Orchestration
Yes
Yes
No
Data lineage
Yes
Yes
No
Version control
Yes
Yes
No
Audit logs
Yes
Yes
No
Ratings
G2 rating
4.8
4.3
4.5

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

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

Stitch (Qlik) in Short

Stitch is a developer-focused ELT platform now positioned as part of Qlik Talend Cloud. It offers managed ingestion for common SaaS and database sources and remains useful for teams with existing Stitch pipelines, while new users are generally directed toward Qlik Talend Cloud.

What Stitch (Qlik) does well

  • Easy to set up and use
  • Usage-based pricing model
  • Open-source extensibility via Singer
  • Integrates with Talend
  • Supports JSON-based transformations

Where Stitch (Qlik) falls short

  • Connector quality varies due to open-source model
  • Limited transformation and orchestration features
  • No reverse ETL capabilities
  • Relies on the Singer framework, which can break without notice
  • Limited control over data lineage and versioning
  • Less suitable for non-technical users or complex workflows

Stitch integrates with most large companies such as Google Ads, Microsoft Ads, etc. One of the best things is that it sets up cost allocation in a very easy straightforward manner.

— G2 review of Stitch (Qlik) · Read review

Feature-by-Feature Comparison

Feature
weld logo
matillion logo
stitch 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.

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.

stitch logo

Stitch offers simple setup and a user-friendly interface, but full utilization may require technical knowledge, especially when using or extending connectors built on Singer.

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.

matillion logo

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

stitch logo

Stitch's usage-based pricing is accessible for many teams, but unpredictable costs at scale may limit affordability for growing businesses.

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.

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.

stitch logo

Stitch provides basic ELT capabilities and integrates with Talend. However, it lacks deeper transformation tools, orchestration, or reverse ETL functions that more complete platforms offer.

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.

matillion logo

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

stitch logo

Stitch is flexible through its open-source Singer model but this flexibility comes at the cost of stability and consistency, with limited support for more complex enterprise workflows.