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MongoDB Enterprise Advanced features MongoDB Enterprise Server and a finely-tuned package of advanced software, support, certifications, and other services. More than one-third of the Fortune 100 rely on MongoDB Enterprise Advanced to help run their mission critical applications.

Features

The Best Way to Run MongoDB in Your Data Center.
Supported. Secure. Automated.
Hundreds of organizations around the world use our commercial edition of the database, called MongoDB Enterprise Server, from Fortune 100 enterprises to the most agile startups.
Download the MongoDB Enterprise Advanced Datasheet for more information or contact us for pricing details.

Or download an evaluation version of MongoDB Enterprise Server now.

Advanced Security
MongoDB Enterprise Server meets your security and compliance standards with Kerberos and LDAP authentication, Red Hat Identity Management Certification, and auditing. In addition to MongoDB’s already comprehensive security framework – which includes Role-Based Access Control, PKI certificates, SSL and Field-Level Redaction – the advanced features in MongoDB Enterprise Server enable you to defend, detect, and control access to your data.
Advanced Analytics
MongoDB’s flexible data model and dynamic schema allow you to store data in rich, multi-dimensional documents to quickly build and evolve your apps. But your Business Intelligence platform expects fixed schemas and tabular data. The MongoDB Connector for BI lets you use MongoDB as a data source for your SQL-based BI and analytics platforms. Seamlessly create the visualizations and dashboards that will help you extract the insights and hidden value in your multi-structured data. The MongoDB Connector for BI is available only with MongoDB Enterprise Advanced.
MongoDB Compass
MongoDB Enterprise Advanced gives you access to MongoDB Compass, the easiest way to explore your MongoDB data. MongoDB Compass analyzes your documents and displays rich structures within your collections in a simple and intuitive GUI. It allows you to quickly visualize and explore your schema to understand the frequency, types and ranges of fields in your data set. MongoDB Compass helps you to build and run ad hoc queries, add and modify documents, review and optimize performance with Visual Explain Plans and index utilization metrics, an identify requirements for document validation rules. MongoDB Compass is the simplest way to interact with MongoDB, with no knowledge of the MongoDB query language required.
In-Memory Speed
The speed of in-memory computing, available in MongoDB. The In-Memory storage engine delivers the extreme throughput and predictable latency required by the most demanding applications in AdTech, finance, telecoms, e-commerce, and more. And by mixing storage engines in a replica set, you can achieve the speed of in-memory while still persisting to disk. The In-Memory storage engine is only available with MongoDB Enterprise Advanced.
Platform Certification
MongoDB Enterprise Server has been tested and certified for stability and performance on the most popular operating systems. If you’re running Windows, Red Hat/CentOS, Ubuntu, Amazon Linux, Linux on z Systems, LinuxONE, or Linux on Power Systems, MongoDB Enterprise Server is for you.
Customer Success Program
We want to help you realize the full potential of your investment in MongoDB. Through the Customer Success Program, we will introduce the resources available to you and check in with you regularly to make sure you are achieving your goals with MongoDB. We'll keep you updated on developments on our end, too – like product updates and events that might interest you.

Reviews

MongoDB provides high availability with replica sets.[9] A replica set consists of two or more copies of the data. Each replica set member may act in the role of primary or secondary replica at any time. All writes and reads are done on the primary replica by default. Secondary replicas maintain a copy of the data of the primary using built-in replication. When a primary replica fails, the replica set automatically conducts an election process to determine which secondary should become the primary. Secondaries can optionally serve read operations, but that data is only eventually consistent by default.

Christopher P.Admin
4.9/5

An excellent software, one of the things that I like most about mongo is the enalce between database, a fairly simple aspect is to make the correlations, it does not use a very technical language, it is quite light and it is possible to implement it in medium equipment. performance.

Daniel S.Developer
4.5/5

Great DB for startups. I was able to implement a polyglot solution combining MongoDB and Neo4j, a graphdb. The architecture has not fundamentally changed since (Aug 2013) and we now serve over 1 million users a month. And we have a lot spare room to grow with, with no major db changes. Our solution has scaled period, could not have done it with a relational db.

Mike T.Project Manager
4.7/5

Support

Why is MongoDB useful?
MongoDB provides a technology foundation that enables development teams through: The document data model – presenting them the best way to work with data. A distributed systems design – allowing them to intelligently put data where they want it. A unified experience that gives them the freedom to run anywhere – allowing them to future-proof their work and eliminate vendor lock-in. With these capabilities, you can build an Intelligent Operational Data Platform, underpinned by MongoDB. Learn more by reading the MongoDB Architecture Guide.
When should I use MongoDB?
MongoDB is a general purpose data platform designed to serve any OLTP/operational workload: Wherever a developer is considering a relational databases, they should consider MongoDB. Wherever a developer is considering a NoSQL database, they should consider MongoDB. Why? Because, MongoDB is the only data platform that harnesses: The innovations of NoSQL – flexible data model, distributed, scale-out architecture While maintaining the foundation of relational databases – ACID transactions, strong data consistency, rich queries and indexing.
How is data stored in MongoDB?
Data in MongoDB is stored in BSON documents – JSON-style data structures. Documents contain one or more fields, and each field contains a value of a specific data type, including arrays, binary data and sub-documents. Documents that tend to share a similar structure are organized as collections. It may be helpful to think of documents as analogous to rows in a relational database, fields as similar to columns, and collections as similar to tables.
How to configure a backup to Cloud?
For a backup to Cloud, an active Cloud Storage subscription is required. Create a new backup plan and choose "Cloud Storage" as a destination in the field "Where to back up". Find more information on how to browse the cloud storage, view the contents of the backups, and download needed files here.
Does MongoDB support ACID transactions?
Yes. MongoDB 4.0 added support for multi-document ACID transactions.