MongoDB is a document-oriented, NoSQL database that leverages JSON-style documents with dynamic schemas (known as BSON), rather than a table-based RDBMS structure. MongoDB’s code is open-source, although its parent company MongoDB Inc. offers a subscription-based enterprise version that includes consulting, training, and management services. MongoDB has a comprehensive, flexible feature set that handles such tasks as rich, document-based queries; full index support; mirroring across LANs and WANs for high availability and replication capabilities; auto-sharding, which lets developers scale horizontally without undermining functionality; Map/Reduce for flexible aggregation and data processing; and GridFS, which stores files of varying sizes without complicating data stacks.
The AppDynamics Database Monitoring product module for MongoDB is a comprehensive 24x7 deep-dive tool used to monitor version 2.4 and higher of MongoDB databases.
Deep visibility into MongoDB performance
Get to the root cause quickly and resolve costly performance problems with real-time visibility into queries in any MongoDB server throughout your organization.
Easily visualize the performance of the top MongoDB queries.
View the runtime topology of your MongoDB cluster.
Auto detection of all nodes
Spend less time on manual configuration with automatic discovery of all the shards and replica sets in the MongoDB cluster.
Historical MongoDB performance trends
Analyze and alert based on MongoDB performance trends over time, and use this information to proactively tune performance to improve resource efficiency and optimize the end-user experience.
Easily find out when MongoDB performance exceeds its historical baseline.
The top activity report clearly shows which queries are consuming time and resource.
Comprehensive performance reports
Visualize important information – like historical reporting of time series comparisons, and top SQL reports – to make data-driven decisions about your MongoDB servers.
"It was simple to deploy. It took minutes, literally. On our first proof-of-concept, we saw results within an hour."
Eric Poon, Director of Operations Analytics, Nasdaq