Matillion vs Xplenty


Matillion vs Xplenty

Key Differences

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Xplenty, powering your data pipelines!

Our cloud-based, low-code data pipeline platform allows everyone on your team the ability to extract, transform and load your data as needed.

With our pre-built transformations and REST API component, you have the freedom to customize as you please.


 Xplenty is a low-code, cloud-based ETL solution providing uncomplicated, visualized data pipelines for automated data flows across a wide range of sources and destinations.

"They have provided an interface to this world of data transformation that works. It’s intuitive, it’s easy to deal with [...] and when it gets a little too confusing for us, [Xplenty’s customer support team] will work for an entire day sometimes on just trying to help us solve our problem, and they never give up until it’s solved."

Dave Schuman
CTO and Co-Founder,

“We are using Xplenty for many of our ETL needs—ingesting Google Adwords and Analytics, Facebook, Bing, and others, into our Redshift Data Warehouse. What sold us on Xplenty was your ability to keep the API's updated and in sync. The pipe doesn't break when using Xplenty."

Matthew Greger
Director of Technology, Diray Media

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How do you decide if Xplenty or Matillion is best for your needs? We hope this quick comparison of price, data limitations, connectors, support, and data security will help!
Xplenty is more scalable and efficient than Matillion.
  • Low-code or code-free data transformations

  • Over 200 data sources & destinations

  • 24/7 support team

  • Rest API connector - pull in data from any source that has a Rest API 

  • Pricing: a flat rate per connector 

  • Does not support pure data replication use cases

Matillion is an ETL solution that specializes in data transformation for cloud data warehouses. Matillion offers data analytics and ETL as a service products.


  • Code-free data transformations
  • VPC offering
  • Limited destinations - data warehouses only 
  • Pricing: complicated infrastructure based 
  • Inefficient for high data volumes and complex transformations
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Schedule Intro Call