Another Mitto update before year end by the Zuar Dev Team.  We are all about visualizing data. So, we've added some visuals to help you understand databases in MITTO.

MITTO Database Information

There were many minor updates, bug fixes, and features released in 2.4 but the spotlight was stolen by MITTO's new database information page. One of the key functions of MITTO is connecting to and consolidating your data from all your source systems into a single database built for analytics. MITTO's database viewer helps with understanding and monitoring all of that consolidated data. Here's how it works:

  1. Start at a high level by looking at all of the schemas in your Mitto database. At a glance, you see all the tables in each schema and where most of the data resides (either by row count or size on disk).
  2. Explore further by selecting any schema and drill into its associated tables.
  3. Lastly, select a table to explore all of its data. If you discover that this table no longer meets your requirements, you can drop it with the click of a button. Don't worry about losing all of your precious database logic. If stored in MITTO, the table can be repopulated the next time you run the job. Furthermore, you can edit the logic to rebuild something even better.

In addition to bug fixes and visual updates, we have continued building out and adding new connectors. The newest and noteworthy connectors:

  • Google Ads
  • Facebook Ads
  • Survey Monkey
  • BioTrack
  • Treez
  • Metrc

New to MITTO? Learn more about it here! Contact us to set up a demonstration and free trial.