mongodb use cases

Top Use Cases for MongoDB

Derek Johnson

In this post, we’ll explain some of the most common MongoDB use cases we come across and different characteristics that are influencing these choices.

Customer Analytics

Creating consistently good customer experiences has become a key challenge for many organizations.

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NoSQL Databases for Personalization: Help Keep Your Customers Happy

Erika Kalar

Today’s users, customers, clients, and buyers are notoriously impatient. They demand new experiences that engage and inspire; and they wanted them delivered at light speed. Because of these demands and expectations, applications and data stores have evolved in order to provide these types of “I want it now” experiences.

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Scaling MongoDB

Intro to Massive Scaling with MongoDB

Kimberly Wilkins

There are lots of definitions for scaling. Scaling could be defined as removing the scales from a fish. However, with databases, scaling refers to having the ability to expand to meet additional needs around storage/disk, RAM/memory, CPUs/compute cycles, networking, or other resources.

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$indexStats MongoDB

5+1 Considerations for using $indexStats to find unused indexes in MongoDB

Antonios Giannopoulos

Beginning in version 3.2, MongoDB tracks usage statistics for every index. To access these statistics, MongoDB offers the $indexStats aggregation pipeline stage. For example, the following command will provide the index statistics for the collection “”: [ { $indexStats: { } } ] )

We won’t describe the $indexStats output as there is plenty of documentation and many good articles out there that cover this topic.

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MongoDB blog

An Overview of MongoDB

Kimberly Wilkins

It’s no secret that NoSQL databases have gained tremendous ground over relational databases in the last decade. A primary driver for this is the huge amount of data generated today from sources we never would have dreamed of two decades ago.

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Elasticsearch Kibana Visualization

Why is my Elasticsearch query slow?

Paul Rossmeier

One frequent Elasticsearch support request we receive is “Can you help with my response time?” or “My queries are taking a long time, what can I do?”

Two approaches

Whenever we get these types of questions, we begin by taking a deeper look at two main areas:

Operations Side – Look at the current system resources and default Elasticsearch options.

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MySQL to ES connection

Add Elasticsearch-powered search and visualization to your SQL data

Steve Croce

Despite all of the buzz focusing on newer NoSQL data stores, relational and SQL-based databases are still alive and well. In fact, almost every customer we work with has some MySQL, PostgreSQL or MS SQL Server in their environment alongside their MongoDB, Redis, or Elasticsearch.

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Finding the Right DBAs for MongoDB Support

Erika Kalar

It’s no secret that data is the cornerstone to any successful marketing campaign today. Your carefully collected data—shepherded by your equally carefully selected database administrator (DBA)—is a treasure trove of business intelligence that serves up all sorts of invaluable nuggets of information about your customers that you can use to your advantage and theirs.

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