It was easy to get set up, and it worked great for pushing data into Snowflake as a data warehouse. However, we quickly realized that we would need yet another tool to get the data back out to the source systems to synchronize/integrate it. We could sort of do it with Matillion, but it required a lot of custom programming and was not very intuitive. We ended up using a different iPaaS tool that could handle traffic/integration in both directions.

I like the bunch of API integrated in Matillion it helps me to directly grab the data from different sources without manually extra and import in my database.

Our business requires us to ingest large amounts of data from customers on a frequent basis. Once typical ELT has been performed, we create customized data stores which are used in a variety of ways including modeling, machine learning and a SaaS front end. Matillion has been instrumental in our ability to move this processing from file systems to Big Query where our performance has moved from days to hours.

We're able to rapidly load large amounts of data into Snowflake and schedule any SQL tasks to run against snowflake.

I really like Matillion ETL but I was a bit disappointed with some of its limitations and quirks, like when Twitter updated his API all my jobs stopped working and the only thing I could do was develop everything again without using the Matillion component. When I was trying to make upsert procedures on RDS Databases, I was thrilled that the Matillion component has that option, bit it simply didn't work. It seems like these functionalities haven't got the same attention of the others, I contacted the Matillion support which is simply great and these things are still going to be fixed. When I wanted specific libraries of Python, I couldn't get it working on my instance because pip was out of date and it couldn't be updated. I tried to update and I messed up with my instance. Overall, Matillion is great, when you're creating a flow of data migration and you need to parse the data before and do some automations, but there are some cases when you need something a little more specific, that's when it becomes a pain.