MongoDB Atlas

Next-generation database that helps businesses transform

MongoDB Atlas is the global cloud database service for modern applications.  It’s the next-generation database that helps businesses transform their industries by harnessing the power of data. It can be safely managed remotely by any IT team. The world’s most sophisticated organizations, from cutting-edge startups to the largest companies, use MongoDB to create applications never before possible at a fraction of the cost of legacy databases.

Why NEWCOM?

NEWCOM is a trusted, Channel Partner to help your organization integrate your existing security practices and processes with MongoDB Atlas to provide additional control over how you secure your environment.

Document Database

MongoDB is a document database, which means it stores data in JSON-like documents. We believe this is the most natural way to think about data and is much more expressive and powerful than the traditional row/column model.

MongoDB Atlas has been independently audited and confirmed to meet compliance standards for data security.

Rich JSON Documents

  • The most natural and productive way to work with data.
  • Supports arrays and nested objects as values.
  • Allows for flexible and dynamic schemas.

Powerful Query Language

  • Rich and expressive query language that allows you to filter and sort by any field, no matter how nested it may be within a document.
  • Support for aggregations and other modern use-cases such as geo-based search, graph search, and text search.
  • Queries are themselves JSON, and thus easily composable. No more concatenating strings to dynamically generate SQL queries.

All the Power of a Relational Database, and more…

  • Distributed multi-document ACID transactions with snapshot isolation.
  • Support for joins in queries.
  • Two types of relationships instead of one: reference and embedded.

Contact a NEWCOM Engineer today

at sales@newcomglobal.com

or by online chat!

Contact a NEWCOM Engineer

Reference:

MongoDB Atlas. Security. (2020, September 16). Retrieved from https://www.mongodb.com/