Overall Satisfaction with Matillion
We needed a way of empowering people with data in a no-code way. Data is a bottleneck and everyone needs it, but how do we give them this data and enable them to use it effectively? We launched ‘Data as a Product’ - A package of tools and resources that exposes raw data to people and allows them to manipulate it with ease. Matillion is the key tool in this package that allows people to manipulate data at the speed of thought with no code. Matillion’s no-code design, intuitive interface, and collaboration centric architecture allowed us to get people set up and transforming data in a matter of minutes with very little support from the Data team.
- We leveraged Matillion’s no-code principals to make data manipulation easy for our internal customers. People who don't know how to use SQL no longer need to. Everything in Matillion is self-explained with no or little coding.
- We connected Matillion to our data warehouse to allow people to read raw data, transform it, then write results back to their sandbox databases. The drag and drop component design allowed customers to create complex data models at the speed of thought without any risk to production data.
- With sharing capabilities between projects enabled, everyone was able to help each other when questions arose which instilled a strong sense of collaboration and community.
- The new DPC version of Matillion uses Git principals like Commit, Push, Merge etc. This is perfectly fine for engineers, but for our use-case it means our customers will need to understand a basic level of Git. It would be great if they had an auto-commit-push setting which does it all for them.
- Our embedded data analysts (data analysts that sit in a team outside of the Data team) all now use Matillion to create proof of concepts (POCs). This allows them to debug logic at a component level and quickly explore ideas without investing lots of time and effort.
- Since the soft-announcement of ‘Data as a product’ (a beta launch) and demoing Matillion to some of our internal customers we’ve had a huge number of requests from people to get their hands on this new method of self serving data. We’ve yet to release the full product and make a company wide announcement, but early estimates show we can expect around 10-15% of the company to be onboarded and using Matillion as part of Data as a Product. Given the Data team only accounts for around 2% for the company's employees, that’s a huge increase in the number of people using and manipulating raw data!
Our initial build was METL (older version of Matillion). This meant we had to create an EC2 instance on AWS. This initial setup took maybe a few days. but once we spun up the mahine and got it all working, we connected Matillion to our data warehouse in a matter of minutes. The new DPC Matillion is all SaaS so was a lot quicker to set up, maybe a few hours, a day max.
dbt is great for engineers and those comfortable with coding. Matillion is the low-code alternative with a huge emphasis on collaboration with ease. You don't need to checkout a branch, clone, pull, merge etc. in order to help your colleague with a data pipeline. The simple drag'n'drop design allows for easy collaboration and understanding.
Do you think Matillion delivers good value for the price?
Yes
Are you happy with Matillion's feature set?
Yes
Did Matillion live up to sales and marketing promises?
Yes
Did implementation of Matillion go as expected?
Yes
Would you buy Matillion again?
Yes