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Category: MongoDB

DynamoDB vs MongoDB: Performance Comparison & Cost Analysis

Avatar photo Mauro Chojrin Jul 9, 2021
MongoDB

So you’re at the point of your project where the discussion of SQL vs. NoSQL is old news, and NoSQL is the path forward.Now you’re in the market for the actual product you’re going to use as your database. Since…

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11 Best MongoDB Alternatives: SQL and NoSQL (Free & Paid)

Avatar photo Andrew Zola Jul 5, 2021
Data Stack MongoDB

MongoDB is a document-oriented database management system. It supports various forms of data and is probably the most famous NoSQL database. MongoDB has traditionally been popular among JavaScript developers, but that’s slowly changing.NoSQL databases emerged in 2009 as popular websites…

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Top 9 MongoDB ETL Tools: ETL MongoDB to NoSQL Server Guide

Avatar photo Roel Peters Jun 1, 2021
ETL and ELT MongoDB

ETL is the process of extracting, loading, and transforming data from various sources into a central data repository and is an essential step for turning data into insights. When data is extracted from a relational database, mapping the fields to…

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MongoDB vs MySQL: The Differences Explained

Avatar photo Mauro Chojrin May 31, 2021
MongoDB

“Use MongoDB!” said the first engineer. “No, use MySQL,” said the second. And there you were, watching them fight like football fans supporting their favorite team—MongoDB vs MySQL. Of course, you can’t base technical decisions on feelings. You need to understand…

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Cassandra vs MongoDB Performance: A Battle of the NoSQL DBs

Avatar photo Taurai Mutimutema May 10, 2021
MongoDB

When weighing Cassandra vs. MongoDB, performance, design, and operational variables top the list of considerations. While both systems’ approaches to data storage and manipulation lure users in, the actual processes are different enough to polarize their user bases.This post explores…

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How to Analyze MongoDB Data in Tableau

Avatar photo Michelle Hoogenhout May 3, 2021
BI and Data Visualization MongoDB Tutorials

MongoDB’s data flexibility is a breeze for developers but can be a major headache for analysts and data scientists. Here’s how to wrangle your non-relational MongoDB data into a Tableau-friendly shape using JSON exports, the MongoDB Connector for Business Intelligence,…

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MongoDB Business Intelligence: Connector Challenges and Alternatives

Avatar photo Panoply Dec 6, 2020
BI and Data Visualization MongoDB

MongoDB is fantastic…and challenging. This database is popular among developers due to its flexibility, but getting your data out of Mongo and into a BI tool isn’t a plug-and-play cakewalk. If you’re looking for a tool that can easily convert data…

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Top MongoDB Reporting Tools: Analytics & Reporting

Avatar photo Alex Williams Nov 28, 2020
Data Stack MongoDB

Five years ago, MongoDB detailed new enhancements that enabled it to work with standard relational reporting tools like Cognos, Tableau, and Business Objects. That’s great but it’s not perfect. As a result, a number of analytical tools continue to thrive,…

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How to analyze MongoDB data in Power BI

Avatar photo Peter Weinberg Jan 23, 2020
BI and Data Visualization MongoDB

The speed, flexibility and ease of setup of NoSQL-style databases have all contributed to the rapid rise in popularity of MongoDB in recent years.Despite its advantages in speed and flexibility, though, MongoDB can still be a bit of a pain…

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CouchDB vs MongoDB

Avatar photo Matan Sarig Jun 12, 2017
MongoDB

Whether your database needs to run on a mobile device or scale to a humongous size, this post has you covered with CouchDB vs. MongoDB. One of these databases can run on your phone while the other is prepared for…

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Redis vs MongoDB

Avatar photo Matan Sarig May 29, 2017
MongoDB

The battle of the NoSQL databases continues. We first analyzed Cassandra vs MongoDB. This time we will dig in Redis vs MongoDB.Redis is an in-memory database that has been benchmarked as the fastest database in the world, while MongoDB is…

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On this page

  1. Who Uses These Databases?
  2. What About Database Structure?
  3. Are Indexes Needed?
  4.  How Are Their Queries Different?
  5.  Where (And How) Are These Databases Deployed?
  6. What Types Of Replication / Clustering Are Available?
  7. Who's Currently Behind The Databases?
  8.  Who Provides Support?
  9.  Who Maintains The Documentation?
  10.  Is There An Active Community?
  11.  Which Database Is Right For Your Business?
  12. Conclusion
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