The initial setup was more complex as my team had tons of overhead due to security concerns.

Only one person is required to deploy the solution. The process is relatively straightforward and takes around one and a half hours. 

The initial setup was easy. The solution is deployed on the cloud on a virtual machine.

The initial setup was very straightforward, as it’s all done from the AWS Marketplace. A wizard steps you through the process of setup. Due to Matillion’s clean and clear architecture, there is not much to configure before one is up and running.

Setting up Matillion ETL was straightforward. When connecting to Amazon AWS, all I had to do was pass the connection string, and it would connect easily. The same was true for on-premise servers. Therefore, from a connection standpoint, it was simple to set up.

The time it takes for the implementation depends on the size of the record data. If the data is large then the process will take longer. However, the time it takes is only a few minutes.

The product's initial setup phase was easy. Matillion ETL is readily available from Snowflake's marketplace.

There is nothing complex in the process. There is a tenant set up by Matillion in a few minutes, and then you can start working.

The deployment time depends on the configuration, but with the cloud, everything goes smoothly and we can complete it within two hours.

The integration and configuration of this product in our AWS environment was excellent.

We are integrating it with SQL Server and the data coming in is from the on-premise file server. That's what we are connect with right now. Eventually, we will be pulling the data from Google Cloud and Twitter.

The integration and configuration was pretty easy. It was completed in about two months.

Initial setup was straightforward.

The initial setup was very easy.

The implementation of Matillion ETL is straightforward. The length of time it takes for the deployment of the solution typically can be completed in a few hours.

The initial setup is very straightforward. You can set your first job up in literally minutes. We had our first jobs up almost instantly.

For deployment, the latest version that's just come out integrates with Git, so you can do all of your conversions just using the native Redshift code commit, which is the Git repository. You can actually just do it and it's turnkey. It's very easy. You don't need any people, actually. For maintenance, ideally, we would need about a couple of people. 

We have a small team doing all of the data requirements.

The setup was straightforward. The user interface is very intuitive and purchasing from the marketplace was simple.

The integrations with a lot of the AWS tools, services, and databases are very convenient. 

It works with DynamoDB, Redshift, Salesforce, and Aurora databases. It has good integrations with all of these.

There is no installation. Everything is web-based or browser-based.

The integration and configuration of this product on our AWS environment is very easy to do and flexible.

It integrates extremely well with Amazon Redshift.

It takes less than five minutes to set up and delivers results. It is much quicker than traditional ETL technologies. It loads data into Snowflake from dozens of sources, including S3 and RDS, multiple databases, and APIs.