We performed a comparison between Matillion ETL and Snowflake based on real PeerSpot user reviews.
Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration."The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand."
"The most valuable feature of Matillion ETL is its user-friendly graphical interface."
"Matillion ETL is one hundred percent stable."
"It has good integrations with Amazon Redshift and other AWS services."
"The product has a good user interface."
"It takes less than five minutes to set up and delivers results. It is much quicker than traditional ETL technologies."
"The most valuable feature of Matillion ETL is its ease of use. If you have had some experience with other solutions, such as Snowflake, the use of this solution will be simple."
"It's been able to do everything we require."
"It has great flexibility whenever we are loading data and performs ELT (extract, load, transform) techniques instead of ETL."
"I like Snowflake's data exchange capabilities. It can exchange data with downstream systems and other vendor partners as well."
"The ability to share the data and the ability to scale up and down easily are the most valuable features. The concept of data sharing and data plumbing made it very easy to provide and share data. The ability to refresh your Dev or QA just by doing a clone is also valuable. It has the dynamic scale up and scale down feature. Development and deployment are much easier as compared to other platforms where you have to go through a lot of stuff. With a tool like DBT, you can do modeling and transformation within a single tool and deploy to Snowflake. It provides continuous deployment and continuous integration abilities. There is a separation of storage and compute, so you only get charged for your usage. You only pay for what you use. When we share the data downstream with business partners, we can specifically create compute for them, and we can charge back the business."
"It helped us to build MVP (minimum viable product) for our idea of building a data warehouse model for small businesses."
"My company wanted to have all our data in one single place and this what we use Snowflake for. Snowflake also allows us to build connectors to different data sources."
"The syntax is advanced which reduces the time to write code."
"The solution's customer service is good."
"For us, the virtual warehousing is likely the most valuable aspect."
"Ideally, I would like it to integrate with Secrets Manager as well as the AWS."
"In the next release, we would like to have connections to more databases."
"There are certain functions that are available in other ETL tools which are still not present in Matillion ETL. It would be good to have more features."
"While the UI is good, it could be improved in its efficiency and made easier to use."
"Unlike Snowflake which automatically takes care of upgrading to the latest version and includes additional features, with Matillion ETL we need to do this ourselves."
"Performance can be improved for efficiency, and it can be made faster."
"I am looking forward to seeing the expansion of the source range for their data loader product."
"Going forward, I would like them to add custom jobs, since we still have to run these outside of Matillion."
"In a future release we would like to have a link which would allow us to connect to an external database and create certain views in your own database. This is because it is becoming hard for us to compare the data between multiple sources."
"An additional feature I'd like to see is called materialized views, which can speed up some run times. I'd like it to be able to be used where you can have multiple tables inside them; materialized view. That would be nice. As well as being able to run cursors, to be able to do some bulk updates and some more advanced querying, table building on the fly."
"In future releases, it can also support full unstructured data."
"We are yet to figure out how to integrate tools, such as Liquibase, to release changes to our data warehouse model."
"This solution could be improved by offering machine learning apps."
"The product's performance could be improved."
"Their UiPath, the workspace area, needs some work."
"They do have a native connector to connect with integration tools for loading data, but it would be much better to have the functionality built-in."
Matillion ETL is ranked 4th in Cloud Data Integration with 24 reviews while Snowflake is ranked 1st in Data Warehouse with 92 reviews. Matillion ETL is rated 8.6, while Snowflake is rated 8.4. The top reviewer of Matillion ETL writes "Efficient data integration and transformation with seamless cloud-native integration". On the other hand, the top reviewer of Snowflake writes "Good usability, good data sharing and elastic compute features, and requires less DBA involvement". Matillion ETL is most compared with Azure Data Factory, AWS Glue, Informatica PowerCenter, SSIS and Informatica Cloud Data Integration, whereas Snowflake is most compared with BigQuery, Azure Data Factory, Teradata, Vertica and Apache Hadoop.
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