Matillion vs Fivetran

by Gralio Mar 07, 2025

Matillion and Fivetran offer distinct data integration solutions catering to different needs. Matillion provides a powerful platform for complex ETL processes and data transformations, while Fivetran focuses on simplified, automated data integration with pre-built connectors. Choose Matillion for robust transformation capabilities and Fivetran for streamlined data movement from diverse sources.

At Gralio.ai we help to simplify your decision-making process by offering detailed, side-by-side software comparisons like this one, to help you confidently choose the tool that aligns with your business goals.

This comparison was created by analysing 490 reviews and 52 websites, saving 3 hours, 9 minutes of reading.

About

Matillion is a cloud-based data platform designed to help mid-sized to large companies manage their data. Matillion enables users to connect, transform, and move data from various sources into a single location for analysis and use. The platform offers no-code and low-code options, making it suitable for both technical and non-technical users. Matillion is designed for scalability and integrates seamlessly with popular cloud providers like Amazon Redshift, Snowflake, and Google BigQuery.
Fivetran helps businesses like yours gather all your data in one place. It connects to all your apps and databases, automatically pulls out the information, and sends it to a central data warehouse. With Fivetran, you can trust your data is accurate and up-to-date, so you can make informed decisions about your business.

Summary

Main difference
Matillion is a more robust ETL platform with a wider range of transformation capabilities and greater flexibility for complex data manipulation, while Fivetran focuses on simplified, automated data integration with pre-built connectors for various sources. Matillion is better for companies requiring intricate data transformations, while Fivetran excels at automating data movement from diverse sources to a central warehouse.

Relative strengths of Matillion (compared to Fivetran)

  • Superior ETL and transformation capabilities: Matillion allows for more complex data transformations compared to Fivetran, supporting advanced scripting and orchestration.

  • Greater flexibility and customization: Matillion offers more control over the ETL process with its low-code/no-code interface and support for custom code.

  • Wider range of data sources: Matillion provides a more extensive library of connectors and supports various data sources beyond Fivetran's pre-built options.

Relative weaknesses of Matillion (compared to Fivetran)

  • Higher cost: Matillion's pricing can be higher than Fivetran, especially for larger data volumes and complex transformations.

  • Steeper learning curve: Matillion's advanced features and flexibility may require more technical expertise and training compared to Fivetran's simplified approach.

  • Less focus on automated data integration: While Matillion supports automation, it is not its primary focus, unlike Fivetran, which emphasizes automated data movement.

What companies are using Matillion and Fivetran?

Who should use Matillion VS. Fivetran

Matillion is a cloud-based data platform designed for mid-sized to large companies. It offers no-code/low-code ETL, data transformation, and loading capabilities. Users praise its intuitive interface, pre-built connectors, and cloud integration. However, some find it expensive and complex for advanced transformations. Best for those seeking streamlined data processes in the cloud.

Fivetran centralizes your business data by connecting to various apps and databases, automating data extraction, and sending it to a data warehouse. Users praise its easy setup, diverse connectors, and seamless integration with Snowflake. However, some note discrepancies in usage reporting and limited connector customization. Ideal for medium to large companies needing reliable, real-time data insights.

  • Ideal for mid-sized to large companies seeking robust data pipeline solutions.

  • Suitable for data-driven industries like software/IT, finance, and telecommunications.

  • Best for medium to large businesses (100+ employees) seeking robust data integration.

  • Ideal for data-driven businesses across various sectors, particularly e-commerce, manufacturing, and software.

Matillion and Fivetran features

Supported
Partially supported
Not supported
Type in the name of the feature or in your own words tell us what you need

  • Generative AI
    Not supported

    Matillion supports generative AI but lacks specific information about integrating with Cecilia.

    Not supported

    Fivetran does not directly integrate with Cecilia but can support generative AI by providing data integration capabilities.

  • Data Loading
    Supported

    Matillion supports data loading and transformation into cloud data warehouses with a user-friendly interface.

    Supported

    Fivetran loads and transforms data into cloud warehouses, automating tasks with a streamlined interface.

  • Data Governance
    Partially supported

    Matillion supports data governance through integrations with various other platforms.

    Partially supported

    Fivetran integrates with other tools to enhance data governance capabilities.

  • ETL Process Support
    Supported

    Matillion offers robust ETL capabilities with tools for data extraction, transformation, and loading.

    Supported

    Fivetran automates the entire ETL process, from extraction to loading.

  • Pre-built connectors
    Supported

    Matillion offers 150+ pre-built connectors for various data sources.

    Supported

    Fivetran offers pre-built connectors for many applications.

Qualities

  • Value and Pricing Transparency
    -1
    Strongly negative sentiment
    -0.8
    Strongly negative sentiment
  • Customer Service
    +0.6
    Rather positive sentiment
    +0.6
    Rather positive sentiment
  • Ease of Use
    +1
    Strongly positive sentiment
    +1
    Strongly positive sentiment
  • Reliability and Performance
    +0.2
    Neutral sentiment
    +0.58
    Rather positive sentiment
  • Ease of Implementation
    +0.71
    Strongly positive sentiment
    +0.9
    Strongly positive sentiment
  • Scalability
    +1
    Strongly positive sentiment
    +0.5
    Rather positive sentiment

Matillion and Fivetran Pricing

Matillion uses a credit-based system for its pricing. Users purchase credits, which are consumed based on usage. The Developer plan offers a pay-as-you-go option with a fixed price per credit. The Basic, Advanced, and Enterprise plans offer prepaid credit bundles with a discounted price per additional credit. Matillion Credits are used to pay for the consumption of Matillion Products. A Credit is the smallest unit of charge, consumed when a Customer uses a Matillion resource.
Plans

User sentiment

Strongly negative
-1

See full Pricing page

No data

User sentiment

Rather negative
-0.33

See full Pricing page

Matillion and Fivetran review insights

489 reviews analysed from and

Users love

  • Intuitive and user-friendly interface.
  • Wide variety of pre-built connectors.
  • Excellent data quality and scalability.
  • Seamless integration with cloud platforms (e.g., Snowflake, AWS).
  • Fast data transfer capabilities.
  • Pay-as-you-go pricing model.
  • Drag-and-drop functionality.
  • Supports custom Python and SQL code.
  • Good documentation and tutorials.
  • Helpful customer support (when available).
  • Graphical job flows easy to maintain.
  • Robust ETL pipeline automation.
  • Easy-to-use UI and setup process for data pipelines.
  • Wide range of pre-built connectors for diverse sources.
  • Handles high volumes of data and real-time transactions effectively.
  • Seamless integration with Snowflake and other data warehouses.
  • Automated data extraction, transformation, and loading (ETL) capabilities.

Users dislike

  • Difficult to handle complex data transformations.
  • High cost, especially at scale.
  • Limited customization options.
  • Cloud lock-in.
  • Poor version control integration.
  • Lack of direct local file uploads.
  • Upstream integrations (e.g., JIRA, lead generation) are limited.
  • Occasional performance issues and bugs.
  • Slow customer support response times.
  • Confusing project structure.
  • Difficult to call stored procedures.
  • Limited ability to extract data back from the warehouse.
  • Discrepancies between actual usage and Fivetran reported usage.
  • Limited connector customization options.
  • Some connectors are verbose, automatically unnesting JSON and not allowing disabling of tables.
  • Lack of Slack integration for alerts.
  • Limited support for on-premise use cases where security is a concern.
  • Missing some log connectors (e.g., ELK).
  • Inability to run dbt commands from Fivetran UI.

Matillion and Fivetran Ratings

  • G2
    4.4/5
    (80)
  • Glassdoor
    3.2/5
    (221)
  • G2
    4.2/5
    (400)
  • Capterra
    4.7/5
    (20)
  • Glassdoor
    3.5/5
    (358)

Company health

Employee growth

15% decrease in the last year
10% increase in the last year

Web traffic

22% increase in the last quarter
5% decrease in the last quarter

Financing

August 2022 - $290M
January 2023 - $853M

How do Matillion's low-code options compare to Fivetran's pre-built connectors for diverse data sources?

Matillion promotes both no-code and low-code options for building data pipelines, allowing for visual development and custom scripting where needed. Fivetran focuses on pre-built connectors for a wide array of data sources, minimizing the need for custom code but potentially limiting flexibility for complex transformations or less common sources. Matillion's flexibility may be more suitable for organizations needing extensive data transformations, while Fivetran's simplicity could be preferable for those prioritizing rapid integration with common data sources.

Which product, Matillion or Fivetran, better supports complex data transformations at scale?

Matillion is better suited for complex data transformations at scale. While Fivetran excels at automated data movement with its pre-built connectors, Matillion provides a more robust environment for transformations, including a low-code/no-code interface and support for custom Python and SQL. Matillion's focus on transformation and its tight integration with cloud data warehouses make it more suitable for complex manipulations of large datasets. However, users should be aware of the potential cost implications of Matillion, especially at scale.

What are the advantages of Matillion?

Matillion offers a low-code/no-code platform making it accessible to both technical and non-technical users, and it boasts seamless integration with popular cloud data warehouses like Snowflake, AWS Redshift, and Google BigQuery. Users praise Matillion's intuitive interface, pre-built connectors, and fast data transfer capabilities. Furthermore, its robust ETL and data transformation capabilities are well-regarded.

What are the disadvantages of Matillion?

Matillion can be expensive, especially for large-scale data operations. Some users find it difficult to handle complex data transformations and lacks flexibility in customization. It has limited version control integration and can be difficult to integrate with upstream tools like JIRA. Matillion also suffers from limited local file upload capabilities and occasional performance issues and slow customer support. Finally, extracting data back from the warehouse can be challenging.

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Page co-authored by
MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.

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