All ETL tool comparison

Stitch vs. Matillion

Stitch and Matillion are two competing ELT solutions. Compare data sources and destinations, features, pricing and more. Understand their differences and pros / cons.

Check the comparison spreadsheet

About the services

About Stitch

Stitch is a cloud-based platform for ETL — extract, transform, and load. More than 3,000 companies use Stitch to move data records every day from SaaS applications and databases into data warehouses and data lakes, where it can be analyzed with business intelligence tools. Stitch is a Talend company and is part of the Talend Data Fabric.

About Matillion

Matillion is a self-hosted ETL solution, created in 2011. It supports about 100 connectors and provides all extract, load and transform features. Matillion is used by 450 companies in 40 countries. Being self-hosted means that Matillion ensures your data doesn’t leave your infrastructure. You might have to pay for several Matillion instances if you’re multi-cloud. 

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Data ingestion, ELT.

Data ingestion, data transformation, and business intelligence.


More than 130.

More than 100.


All major data warehouses, lakes and databases.

All major data warehouses, lakes and databases.

Customizability of connectors

Stitch’s Import AI enables their users to push data from anywhere to their destination.


Database replication

Full table and incremental via change data capture.

Pricing is indexed on rows.

Full table and incremental via SELECT/replication key, timestamp or change data capture for AWS-hosted Matillion ETL instances.

Integration with data stack



Support SLAs



Security certifications



Vendor lock-in

Annual contracts. Can leverage Singer’s open-source connectors when used (but connectors are of low quality).

Annual contracts. Self-hosting implies a higher lock-in.

Purchase process

Self-service or sales.

Sales only.


Volume-based pricing with new added or edited rows.

Based on the number of Virtual Core Hours used. 


Through API.



Pre-built connectors are the primary way to differentiate ETL / ELT solutions, as they enable data teams to focus only on the insights to build.


Stitch supports more than 100 database and SaaS integrations as data sources, and the major data warehouse and data lake destinations. 

Customers can contract with Stitch to have them build new sources for them, and anyone can add a new source to Stitch using Singer, their open-source toolkit for writing scripts that move data. 

Singer integrations can be run on Stitch to take advantage of their monitoring, scheduling and credential management features. However, most Singer integrations are now deprecating in quality. So you never know the quality of a tap or target until you have actually used it.


Matillion integrates with about 100 data sources. Customers can request Matillion to build a new data source, but no one outside the company can build new data sources or make improvements to existing sources. 

Matillion only supports Redshift, Snowflake, BigQuery, Azure Synapse Analytics and Delta Lake as destinations.



Stitch, like several other stitch alternatives in the market, functions as an ELT tool. Its primary focus is on executing the transformations essential for ensuring compatibility with the destination platform. These transformations include tasks like translating data types and denesting data when necessary. However, Stitch does not offer additional transformation features beyond these essential functions.


Matillion offers post-load transformations through what it calls Transformation Components. Users can create Transformation Components via point-and-click selection or by writing them in SQL. 

Matillion does not support external transformation tools, such as dbt.


Every company has custom data architectures and, therefore, unique data integration needs. A lot of tools don’t enable teams to address those, which results in a lot of investment in building and maintaining additional in-house scripts. 


Stitch’s customers can leverage Singer to build custom Singer connectors that they can plug on their Stitch account. However, of the approximately 200 Singer connectors Stitch can leverage to adapt to their needs, most are low quality, as only the top connectors are maintained actively by the Singer community.


Matillion doesn’t provide any customizability, unfortunately. 

Support & docs

Data integration tools can be complex, so customers need to have great support channels. This includes online documentation as well as tutorials, email and chat support. More complicated tools may also offer training services.


Stitch provides in-app chat support to all their customers, and phone support is available for Enterprise customers. 

Their documentation is comprehensive and is open source — anyone can contribute to it. 

Stitch does not provide training services.


Matillion provides support through an online ticketing system accessible through a support portal or via email. 

Documentation relies on articles accessible through the support portal. 

Matillion does not have any Slack or Discourse community to provide help. 

The company doesn't provide training services, but tutorial videos can be found on YouTube.



Stitch provides a 14-day free trial. It discloses a pricing based on rows synced. 

Stitch’s volume-based pricing doesn’t adapt well with database replication use cases that involve the replication of millions of rows. 

Standard plans range from $100 to $1,250 per month depending on scale, with discounts for paying annually. 


Matillion offers a 14-day free trial. Its pricing depends on the cloud platform on which the customer's data warehouse runs. 

The pricing model is based on Virtual Core Hours, which will depend on the instance size customers run. Annual billing plans are available with discounts.

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"Airbyte is a very promising solution for the single point of data integration. We continuously migrate our connectors from our existing solution to Airbyte as they became available on Airbyte, and look forward to the release of Airbyte Cloud!"
Apostol Tegko
Apostol Tegko
Data Analyst at Fnatic
"Airbyte has cut months of man hours off of our ELT pipeline development and delivered usable data to us in hours instead of weeks. We are excited for the future of Airbyte, enthusiastic about their approach, and optimistic about our future together."
Micah Mangione
Micah Mangione
Director of Technology at
“I was blown away by how easy it was to get started with Airbyte. We were able to adapt a Singer tap for a missing integration in 25 mins. Because Airbyte is so simple to use, I was able to avoid a planned data engineer hire.​”
Jins Kadwood
Jins Kadwood
CTO at AgriDigital

What Airbyte users say

“Airbyte saved us two months of engineering time by not having to build our own infrastructure. We can count on the stability and reliability of Airbyte connectors. Plus, with Airbyte it’s simple to build custom pipelines.”
“With Airbyte, we don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”
"I used Airbyte's connector builder to write 2 connectors. The experience was amazing, the setup was straightforward, and in almost no time I was able to develop a new connector and get it running.”
“Using Airbyte makes extracting data from various sources super easy! I don't have to spend time maintaining difficult data pipelines. Instead, I can use that time to generate meaningful insights from data.”
"Airbyte does a lot of things really well. We just had to set it up, and it ran from there. Even moving 40GB worth of data works just fine without needing to worry about sizing up.”