The platform now provides flexibility not seen with other data pipeline and automation tools.

Zuar has launched Version 3 of its flagship data pipeline solution Mitto. The platform allows organizations to pull in data from a wide variety of sources and fully prepare it for analysis. Utilizing automation and intuitive job management, Mitto users seamlessly and with little effort maintain a single source of truth for their organizations.

“Our mission is to help everyone solve problems with data. A critical part of this mission means matching the speed and agility of some of the fastest growing companies. Many of our users are on lean teams with high expectations and short runways for success, “says Whitney Myers, CEO of Zuar. “With this release, we not only increase the flexibility and speed of Mitto but we also extend new capabilities for our customers to be able to work with any data in their environment.”

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“With this release, we not only increase the flexibility and speed of Mitto, but we also extend new capabilities for our customers to be able to work with any data in their environment.”

— Whitney Myers, CEO of Zuar

What’s new in Mitto Version 3?

– Mitto is now deployed on Docker for greater flexibility. Zuar hosts your instance, or host Mitto on the OS of your choosing.

– Unlike most ETL solutions, by default Mitto comes packed with its own database to store your data (optional). This database has been updated to Postgres 14.6.

– Revamped user interface and Store Explorer.

– Mitto now uses a new licensing system that makes it easier to evaluate new features and connectors on a trial basis.

– Optimizations in how Mitto “learns” data types can result in 20-40% shorter job run times.

– Improvements to job-related features, such as logging and job management.

– Over a dozen connectors have been added or substantially improved, such as those for integration with Gong and Amazon Selling Partners

Zuar is excited to provide its customers with this major upgrade to Mitto, which will solidify the solution’s place within the market as an effective and powerful tool for all data-forward organizations.

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