3
0
+ 1
0

What is Matillion?

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.
Matillion is a tool in the Big Data as a Service category of a tech stack.

Who uses Matillion?

Companies

Developers

Matillion Integrations

Amazon S3, Mixpanel, Zendesk, Salesforce Sales Cloud, and Amazon Redshift are some of the popular tools that integrate with Matillion. Here's a list of all 7 tools that integrate with Matillion.

Why developers like Matillion?

Here’s a list of reasons why companies and developers use Matillion
Top Reasons
Be the first to leave a pro

Matillion's Features

  • 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.

Matillion Alternatives & Comparisons

What are some alternatives to Matillion?
Talend
It is an open source software integration platform helps you in effortlessly turning data into business insights. It uses native code generation that lets you run your data pipelines seamlessly across all cloud providers and get optimized performance on all platforms.
Alooma
Get the power of big data in minutes with Alooma and Amazon Redshift. Simply build your pipelines and map your events using Alooma’s friendly mapping interface. Query, analyze, visualize, and predict now.
AWS Glue
A fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics.
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.
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.
See all alternatives