Make Data-driven Decisions using MongoDB and Looker
October 8, 2018 | Updated: November 28, 2022
Today we are announcing a partnership and integration with Looker, a leader in modern, user-friendly business intelligence solutions. Like most BI tools, Looker works well with relational data, so the integration with MongoDB is made possible through the MongoDB Connector for Business Intelligence.
Using a simple, yet highly functional and powerful interface, Looker can ingest data from a number of different data sources empowering business users to create and manage reports and dashboards and make data-driven decisions. Now that MongoDB data can be queried by Looker directly, this removes the need to perform any ETL operations on MongoDB data.
Adding MongoDB as a data source is simple and can be accomplished through Looker’s admin interface for connections. The simplest way to get data into Looker is to use MongoDB Atlas, our DBaaS offering. Alternatively, customers can also connect to on-premises of self-managed instances. Due to MongoDB’s distributed architecture, you can connect to a dedicated secondary replica assigned to analytics and report away without impacting operational workloads running against other nodes in the cluster.
By combining the flexibility of MongoDB, along with Looker’s simple, intuitive, yet powerful interface, business users can quickly and easily gain insights from their MongoDB data. Users can create and manage dashboards, schedule reports, and even share these with colleagues. With Looker and MongoDB, business users can better understand data, identify trends, and make timely decisions based on solid analysis.
To learn more about MongoDB’s integration with Looker, please stop by our booth at Looker JOIN 2018 this week in San Francisco. There you will see hands-on demonstrations of the integration and examples of reports and dashboards that can be created using MongoDB and Looker together.