Rivery vs. Matillion

Rivery is an end-to-end, fully-managed ELT alternative to Matillion.
Compare features, pricing, support, and more.

Rivery vs. Matillion – Overview

About Rivery

Rivery was founded in 2018 from an internal tool at one of the world’s largest data consulting firms. The company is headquartered in New York City with offices in Tel Aviv, London, and Austin. Rivery is a fully-managed SaaS platform, which provides a unified solution for data ingestion, transformation, and workflow orchestration. The biggest differentiator is the completeness of Rivery’s offering, combining the ease-of-use of a no-code SaaS with the power and flexibility of a custom-coded solution.

About Matillion

Matillion was founded in 2011 with headquarters in Denver (US) and Manchester (UK). Their low-code, click-and-drag solution is known for its advanced transformation capabilities. It’s a self-hosted tool, which makes it a good candidate for on-premise deployments, and for those who have resources to manage the infrastructure running Matillion. 

Matillion can be a powerful tool for larger data teams, however given that it’s not fully managed, you’ll have to perform error logging, server maintenance, software upgrades, API upgrades, etc. 

Rivery vs. Matillion – Features

ETL / ELT Tool


Based on executions and data size

Based on server hours

SaaS Solution

Yes, fully SaaS with no extra infrastructure costs

No, users need to install, manage, and upgrade their own software

Cloud native and fully managed



Native connectors



Connect to any API source



Built-in workflow orchestration



Python support



Reverse ETL



Built-in data transformation



Support SLAs



Developer Friendly



G2 Rank

4.8 / 5.0

4.4 / 5.0

Rivery vs. Matillion – Product


Rivery’s SaaS offering provides several data stack products in a single platform. This includes ELT (data ingestion) with over 200+ fully-managed connectors, advanced workflow orchestration, data operations (full support for the development lifecycle), reverse ETL (data activation), and full Python support.


Matillion provides two products: Matillion ETL, which is their full-featured ETL offering as well as Matillion Data Loader, which is a lighter weight offering.

Matillion supports 100+ data connectors and users can make new connector requests, but new connectors can only be built exclusively by the Matillion team. In terms of targets/destinations, Matillion Data Loader supports Amazon Redshift, Snowflake, Google BigQuery, and Delta Lake on Databricks for batch pipelines. In addition, Data Loader supports Amazon S3 and Azure Blob, but only for CDC pipelines.

Rivery vs. Matillion – Pricing


Rivery provides both, on-demand pay-as-you-go pricing, and annual contracts. Both pay-as-you-go and annual pricing are available for all plans. 

Pricing is based on a credit system, which starts at $0.75 per credit. Database source pricing is based on total volume of data transferred. App and API-source pricing is based on the number of pipeline executions. 

Rivery doesn’t charge by the number of databases or tables you’re loading into your data warehouse, nor does it charge by the number of rows or sync frequency.

All Rivery pricing plans include: 

  • Access to all 200+ fully-managed connectors 
  • Unlimited users 
  • Runtime environments 
  • Reverse ETL 
  • Change Data Capture 

Learn more about Rivery pricing on Rivery’s pricing page or click here to learn more about Rivery’s approach to pricing.


Matillion’s pricing uses credits and is based on virtual core (vCore) per hour usage. One credit = 1 hour of vCore usage. Credits range between $2.00 and $2.70 an hour. This is in addition to the cost of running the servers themselves on your cloud provider (AWS, Azure or GCP).

Rivery vs. Matillion – Support


Rivery offers 24/7 global support as well as onboarding services and dedicated customer success services, which vary by plan. Support is engineering led and year over year, Rivery has been awarded “Easiest to do Business with” by G2 in the category of ETL tools

Rivery’s G2 user rating for quality of support is 9.9/10, the highest in its category with an industry average of 8.5/10 for ETL tools on G2. 


Matillion provides support through an online ticketing system. They do not provide any training services as part of their support offerings. 

Matillion’s G2 user rating for quality of support is 8.1/10 with an industry average of 8.5/10 for ETL tools on G2. 

Rivery vs. Matillion – Summary


Matillion ETL is basically sold as software, and is not a SaaS offering. This is suitable for organizations that require running all of their data pipelines on their own servers, but you’ll need a team to manage the servers software upgrades. 

If you have a large data team, conduct on-premise deployments, and are looking for advanced transformation capabilities, Matillion may be for you, as long as you keep in mind that you’ll be responsible for managing the infrastructure running Matillion, which could make it difficult to scale. 

Key benefits when evaluating Matillion include:

  • Matillion licenses are relatively cheap and their compute runtime is based on cloud computing price.
  • Strong transformation capabilities

Limitations of Matillion include: 

  • Host infrastructure management needs to be handled as your data pipelines grow.
  • Cannot handle incremental updates automatically
  • Database supportability


Rivery is a fully-managed SaaS offering, so users do not need to worry about workload size, scaling usage, or managing the entire scaling infrastructure themselves. Matillion is known for robust transformation capabilities, however Rivery also offers its own mature transformation engine. 

In regards to other data transformation capabilities, Rivery provides integration points with dbt and other API-based transformation tools, while Matillion does not provide these offerings. 

In terms of data integration capabilities, Rivery has 200+ native connectors and a simple custom connector to any API source. With Matillion, you are limited to about 100 integrations found in their directory and cannot build new connectors through their software.

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