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Dynobase vs MongoDB Cloud Manager

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Dynobase
5
15
+ 1
0
MongoDB Cloud Manager
59
80
+ 1
0
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MongoDB Cloud Manager vs Dynobase: What are the differences?

MongoDB Cloud Manager: 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; *Dynobase:** Professional GUI Client for DynamoDB. Accelerate your DynamoDB workflow with faster data exploration, code generation, bookmarks, and more. It allows to export all operations into CLI and popular languages SDK formats. No more writing queries, just copy and paste straight into your favorite IDE.

MongoDB Cloud Manager belongs to "Cloud Management" category of the tech stack, while Dynobase 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, Dynobase provides the following key features:

  • Faster querying and scanning
  • Multiple tables support
  • Multiple tabs support
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What is Dynobase?

Accelerate your DynamoDB workflow with faster data exploration, code generation, bookmarks, and more. It allows to export all operations into CLI and popular languages SDK formats. No more writing queries, just copy and paste straight into your favorite IDE.

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 Dynobase?
What companies use MongoDB Cloud Manager?
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What tools integrate with Dynobase?
What tools integrate with MongoDB Cloud Manager?
What are some alternatives to Dynobase 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

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