Master Data Services vs MongoDB Cloud Manager

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Master Data Services

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MongoDB Cloud Manager vs Master Data Services: What are the differences?

Developers describe MongoDB Cloud Manager as "A hosted platform for managing MongoDB *". It is a hosted platform for managing MongoDB on the infrastructure of your choice. It saves you time, money, and helps you protect your customer experience by eliminating the guesswork from running MongoDB. On the other hand, *Master Data Services** is detailed as "Manage a master set of your organization's data". It enables you to manage a master set of your organization's data. You can organize the data into models, create rules for updating the data, and control who updates the data. With Excel, you can share the master data set with other people in your organization.

MongoDB Cloud Manager belongs to "Cloud Management" category of the tech stack, while Master Data Services can be primarily classified under "Database Tools".

Some of the features offered by MongoDB Cloud Manager are:

  • Real-time Visualizations
  • Monitoring
  • backup

On the other hand, Master Data Services provides the following key features:

  • Excel add-in
  • Models
  • Entities
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What is Master Data Services?

It enables you to manage a master set of your organization's data. You can organize the data into models, create rules for updating the data, and control who updates the data. With Excel, you can share the master data set with other people in your organization.

What is MongoDB Cloud Manager?

It is a hosted platform for managing MongoDB on the infrastructure of your choice. It saves you time, money, and helps you protect your customer experience by eliminating the guesswork from running MongoDB.

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What companies use Master Data Services?
What companies use MongoDB Cloud Manager?
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    What tools integrate with Master Data Services?
    What tools integrate with MongoDB Cloud Manager?
    What are some alternatives to Master Data Services and MongoDB Cloud Manager?
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    PostgreSQL
    PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    Redis
    Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
    Amazon S3
    Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
    See all alternatives