StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Databases
  4. Big Data As A Service
  5. Fivetran vs Matillion

Fivetran vs Matillion

OverviewComparisonAlternatives

Overview

Matillion
Matillion
Stacks51
Followers71
Votes0
GitHub Stars0
Forks0
Fivetran
Fivetran
Stacks116
Followers119
Votes0

Fivetran vs Matillion: What are the differences?

Introduction

Fivetran and Matillion are two popular data integration platforms that help businesses manage their data seamlessly. While both platforms offer similar functionalities, there are key differences that set them apart in terms of features, flexibility, performance, scalability, user interface, and pricing.

1. Features:

Fivetran offers a wide range of pre-built connectors, enabling users to easily extract data from various sources and load it into a destination of their choice. On the other hand, Matillion provides a comprehensive set of data transformation capabilities, allowing users to manipulate and enrich data within the platform itself.

2. Flexibility:

Fivetran focuses on simplicity and ease of use, providing a no-code solution that requires minimal setup and configuration. Matillion, on the other hand, offers more flexibility for users who prefer to write their own custom code or SQL scripts to handle complex data transformations and logic.

3. Performance:

Fivetran is known for its high-performance data replication capabilities, utilizing efficient data extraction methods such as incremental updates and change data capture. Matillion, on the other hand, leverages powerful computing resources to ensure fast and efficient data processing and transformation.

4. Scalability:

Fivetran offers automatic scaling and monitoring of data pipelines, allowing users to handle large volumes of data without worrying about infrastructure limitations. In contrast, Matillion provides scalability options by allowing users to deploy the platform on their preferred cloud environment, enabling them to utilize the scalability features offered by their cloud provider.

5. User Interface:

Fivetran has a user-friendly and intuitive interface that simplifies the data integration process, making it easy for users of all technical backgrounds to use the platform. Matillion offers a more advanced and technical user interface, targeting users who have a deeper understanding of data integration and transformation concepts.

6. Pricing:

Fivetran follows a subscription-based pricing model that is based on the volume of data being processed. Matillion, on the other hand, offers a pay-as-you-go pricing model, allowing users to pay only for the resources they consume, making it cost-effective for smaller organizations or projects.

In summary, Fivetran and Matillion differ in terms of features, flexibility, performance, scalability, user interface, and pricing. While Fivetran focuses on simplicity and ease of use with its pre-built connectors and automatic scaling, Matillion offers more flexibility, advanced data transformation capabilities, and a pay-as-you-go pricing model.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Matillion
Matillion
Fivetran
Fivetran

It is a modern, browser-based UI, with powerful, push-down ETL/ELT functionality. With a fast setup, you are up and running in minutes.

It helps you centralize data from disparate sources which you can manage directly from your browser. We extract your data and load it into your data destination.

Edit, Transform and Load Data intuitively; Load Data from Dozens of Sources; 50% reduction in ETL development and maintenance effort ; Rich orchestration environment; Work as a team; Cheap; Billing via AWS.
Prebuilt connectors; Ready-to-query schemas; Automated schema migrations; Fully managed data; SQL-based transformations
Statistics
GitHub Stars
0
GitHub Stars
-
GitHub Forks
0
GitHub Forks
-
Stacks
51
Stacks
116
Followers
71
Followers
119
Votes
0
Votes
0
Integrations
Amazon S3
Amazon S3
Zendesk
Zendesk
MongoDB Stitch
MongoDB Stitch
Amazon Redshift
Amazon Redshift
Cassandra
Cassandra
Salesforce Sales Cloud
Salesforce Sales Cloud
Mixpanel
Mixpanel
Amazon DynamoDB
Amazon DynamoDB
AWS Lambda
AWS Lambda
Mailchimp
Mailchimp
Amazon S3
Amazon S3

What are some alternatives to Matillion, Fivetran?

Google BigQuery

Google BigQuery

Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.

Amazon Redshift

Amazon Redshift

It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.

Qubole

Qubole

Qubole is a cloud based service that makes big data easy for analysts and data engineers.

Amazon EMR

Amazon EMR

It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.

Altiscale

Altiscale

we run Apache Hadoop for you. We not only deploy Hadoop, we monitor, manage, fix, and update it for you. Then we take it a step further: We monitor your jobs, notify you when something’s wrong with them, and can help with tuning.

Snowflake

Snowflake

Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.

Stitch

Stitch

Stitch is a simple, powerful ETL service built for software developers. Stitch evolved out of RJMetrics, a widely used business intelligence platform. When RJMetrics was acquired by Magento in 2016, Stitch was launched as its own company.

Azure Synapse

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Dremio

Dremio

Dremio—the data lake engine, operationalizes your data lake storage and speeds your analytics processes with a high-performance and high-efficiency query engine while also democratizing data access for data scientists and analysts.

Cloudera Enterprise

Cloudera Enterprise

Cloudera Enterprise includes CDH, the world’s most popular open source Hadoop-based platform, as well as advanced system management and data management tools plus dedicated support and community advocacy from our world-class team of Hadoop developers and experts.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase