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Hackolade Announces Next Generation Data Modeling Software to Support MongoDB

By   /  June 29, 2017  /  No Comments

by Angela Guess

According to a recent press release, “Hackolade, the pioneer for data modeling for NoSQL and multi-model databases, today announced the availability of Hackolade version 1.7, a new release of its data modeling software, to support both MongoDB version 3.4 and MongoDB Atlas, its cloud-hosted database as a service. This is one of the first next gen data modeling tools available on the market that helps in proper representation of physical data models for MongoDB collections and views. Hackolade provides a significant advantage for users who have adopted non-relational databases, because with SQL databases, any schema change ends up being very costly, time consuming, and risky. Hackolade version 1.7 supports MongoDB’s latest features including read-only views, a highly-requested feature from MongoDB users. This new Hackolade version also supports collation, indexing, and sharding parameters.”

Alan Chhabra, VP of Worldwide Partners at MongoDB, commented, “Myriad businesses around the world are making decisions based on information stored in MongoDB, and with data being one of their key corporate assets, data modeling becomes critical to understanding this data, its interrelationships, and its rules… Hackolade increases data agility for MongoDB users by making its structure transparent and facilitating its dynamic evolution.”

The release continues, “The application is designed for functional analysts, designers, architects, and database administrators (DBAs). Typically, only developers are comfortable looking at application code to figure out how data storage is organized, but other project stakeholders also need to understand the underlying data structure, which is now possible with Hackolade, thanks to a user-friendly graphical interface, and a flexible HTML model documentation.”

Read more at Hackolade.

Photo credit: Hackolade

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