Highly Scalable Data Management for MongoDB
MongoDB is one of the pioneers in the non-relational or NoSQL database market. With a vibrant developer community, companies worldwide have deployed MongoDB as a critical infrastructure component for applications ranging from “single views” to profile management to content management across a broad spectrum of industries.
The rapid growth of MongoDB makes data protection and test/dev management of even greater importance, as “always- on” data is central to running the business. Companies often believe that having multiple, distributed replicas will prevent data loss. However, application corruption, ransomware, and human errors make this strategy an ineffective one as dropped buckets will just propagate across replicas. These all-too-common risks make rapid data recovery of the MongoDB infrastructure critical to sustaining business operations. Platform tools or home grown solutions cannot handle the large volume of data, so companies need a new approach to manage their MongoDB applications. They need intelligent systems to effectively and quickly clone or recover data so they can get up and running faster with minimal downtime. More intelligent, rapid data management is a must-have in today’s modern data world.