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Atlas-DB vs MongoDB Atlas: What are the differences?

MongoDB Atlas is a cloud-based fully managed database service provided by MongoDB, which allows users to easily deploy, manage, and scale their MongoDB databases. Atlas-DB, on the other hand, is a database service provided by Atlas-DB Inc., which is based on MongoDB. However, there are significant differences between these two services, as explained below.

  1. Deployment options: MongoDB Atlas offers a variety of deployment options, including shared clusters, dedicated clusters, and clusters in multiple cloud providers. On the other hand, Atlas-DB only supports deployment in its own cloud platform.

  2. Pricing model: MongoDB Atlas follows a pricing model based on resource consumption, where users pay for the actual usage of their databases. In contrast, Atlas-DB follows a fixed pricing model, where users pay a predetermined fee regardless of their usage.

  3. Management and monitoring: MongoDB Atlas provides a comprehensive console for managing and monitoring databases, with features like automated backups, point-in-time recovery, and performance optimization recommendations. Atlas-DB, however, provides a simpler management and monitoring interface with fewer features compared to MongoDB Atlas.

  4. Integration with other services: MongoDB Atlas integrates seamlessly with other AWS services, such as Amazon CloudWatch for extended monitoring capabilities. Atlas-DB does not have such integrations and is limited to its own set of features and services.

  5. Data residency and compliance: MongoDB Atlas allows users to choose the region where their data will be stored, enabling compliance with various data residency regulations. Atlas-DB does not provide such options and restricts data storage to its own cloud platform.

  6. Support and SLAs: MongoDB Atlas offers various support plans with different service level agreements (SLAs) for faster issue resolution and 24/7 technical assistance. Atlas-DB provides support but does not offer a range of support plans or SLAs to choose from like MongoDB Atlas.

In Summary, MongoDB Atlas and Atlas-DB differ in terms of deployment options, pricing models, management and monitoring capabilities, integration with other services, data residency and compliance options, as well as support offerings.

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Pros of Atlas-DB
Pros of MongoDB Atlas
    Be the first to leave a pro
    • 10
      MongoDB SaaS for and by Mongo, makes it so easy
    • 6
      Amazon VPC peering
    • 4
      Granular role-based access controls
    • 4
      MongoDB atlas is GUItool through you can manage all DB
    • 3
      Use it anywhere
    • 3
      Cloud instance to be worked with
    • 3
      Built-in data browser
    • 1
      Simple and easy to integrate

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    What is Atlas-DB?

    Atlas was developed by Netflix to manage dimensional time series data for near real-time operational insight. Atlas features in-memory data storage, allowing it to gather and report very large numbers of metrics, very quickly.

    What is MongoDB Atlas?

    MongoDB Atlas is a global cloud database service built and run by the team behind MongoDB. Enjoy the flexibility and scalability of a document database, with the ease and automation of a fully managed service on your preferred cloud.

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    What companies use Atlas-DB?
    What companies use MongoDB Atlas?
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    What tools integrate with Atlas-DB?
    What tools integrate with MongoDB Atlas?
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      What are some alternatives to Atlas-DB and MongoDB Atlas?
      Azure Cosmos DB
      Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development.
      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.
      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.
      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.
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