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MongoDB vs Elastic Stack: Which is a better fit?

Updated on August 25th, 2024
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Summary
Features in Big Data
8
39
  • Access Controls/Permissions
  • Data Migration
  • Real-Time Data
9
Best performer
39
  • Activity Dashboard
  • Alerts/Escalation
  • Customizable Reports
User satisfaction
4.7
User reviews459
Ease of use
4.4
Functionality
4.6
Value for money
4.6
Customer support
4.3
4.6
User reviews67
Ease of use
4.1
Functionality
4.6
Value for money
4.5
Customer support
4.0
Price starts from
Monthly subscription
Free version
Free trial
Monthly subscription
Free version
Free trial
Best for

MongoDB serves both startups and industry-leading organizations from Fortune 500 companies to government agencies.

Elastic is built for relevance at scale, easily able to support small businesses, the largest multinationals, and everything in between.

User reviews
pros & cons
1 / 4
View Reviews
1 / 4
View Reviews
Video reviews
video-859bf3a6-fd87-4957-0a4d-08d8811dc09f
Greg G
Operations Fellow
4.0

Speaker 1: Hey, I'm Greg. I am an operations fellow at an entrepreneurship center. And I give MongoDB a four out of five. So we switched from Google Sheets, we were using it to store a lot of our membership data, but we found that it was just too unorganized and it wasn't able to handle the amount of data we were processing. We chose MongoDB for a variety of reasons, the primary one is that our staff rotates pretty frequently just as a part of the program and MongoDB is really easy to learn and understand. It's customer friendly for developers, but also it is able to be used by people who don't necessarily have database experience. We found MongoDB to be pretty easy to integrate with our apps. And while there are other services out there that provide similar functionality, the free tier on MongoDB was really a benefit to us and provided us with enough support to get started on the platform, but allows us to grow if we need it in the future. MongoDB was relatively easy to integrate with our system. We were lucky in that we were overhauling a lot of our backend data processing stuff anyways. So MongoDB was just one extra step to add on top of our existing code base. It was relatively easy to add different models and different ways of storing data. And we found that compared to things like SQL that may have a higher learning curve, because MongoDB's very user-friendly experience, we were able to do so without much time committed to learning, which as I mentioned earlier is really great given how often our staff rotates. So it really made the whole process a lot easier and it was one less thing that we had to think about as we were shifting away from our old model. So if you're thinking about trying out MongoDB for your business or service or project, I'd recommend messing around with their playground option. Their free tier is more than enough for a lot of smaller projects and it gives you a chance to learn MongoDB, all the ins and outs and see how easy it is to integrate into your system. I had some questions that were quickly answered through their online programs. But more than that, just being able to use it in my own application, just trying it out. That said, if you are considering MongoDB, look at Google Firebase as well. They have a database, I think it's called Firestore, as a part of the Firebase platform as a whole, but it integrates really nicely with all of the other Google services that are part of the Firebase platform. And what's on top of that, it still uses the same database structure and that all objects are stored as JSON objects. But it integrates with all of their other services pretty well.

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User interface
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1 Video
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4 screenshots
149304
5 screenshots

MongoDB

8/39
  • Activity Dashboard
  • Ad hoc Analysis
  • Ad hoc Reporting
  • Alerts/Escalation
  • Collaboration Tools
  • Customizable Reports
  • Dashboard Creation
  • Database Support
  • Data Blending
  • Data Capture and Transfer
  • Data Cleansing
  • Data Connectors
  • Data Discovery
  • Data Extraction
  • Data Security
  • Data Synchronization
  • Data Transformation
  • Data Warehousing
  • Drag & Drop
  • Forecasting
  • High Volume Processing
  • Multiple Data Sources
  • No-Code
  • Predictive Analytics
  • Real-Time Analytics
  • Reporting/Analytics
  • Statistical Analysis
  • Templates
  • Trend Analysis
  • Visual Analytics
  • What-if Analysis
  • Access Controls/Permissions
  • API
  • Data Migration
  • Data Visualization
  • Real-Time Data
  • Search/Filter
  • SSL Security
  • Third-Party Integrations
See All features
Hide Big Data Software Features -

Elastic Stack

Top Features
9/39
Show Big Data Software Features +
MongoDB
Deployment
  • Cloud, SaaS, Web-Based
  • Desktop - Mac
  • Desktop - Windows
  • Desktop - Linux
  • Desktop - Chromebook
  • On-Premise - Windows
  • On-Premise - Linux
  • Mobile - Android
  • Mobile - iPhone
  • Mobile - iPad
Support
  • Email/Help Desk
  • FAQs/Forum
  • Knowledge Base
  • Phone Support
  • 24/7 (Live rep)
  • Chat
Training
  • In Person
  • Live Online
  • Webinars
  • Documentation
  • Videos
Elastic Stack
Deployment
  • Cloud, SaaS, Web-Based
  • Desktop - Mac
  • Desktop - Windows
  • Desktop - Linux
  • Desktop - Chromebook
  • On-Premise - Windows
  • On-Premise - Linux
  • Mobile - Android
  • Mobile - iPhone
  • Mobile - iPad
Support
  • Email/Help Desk
  • FAQs/Forum
  • Knowledge Base
  • Phone Support
  • 24/7 (Live rep)
  • Chat
Training
  • In Person
  • Live Online
  • Webinars
  • Documentation
  • Videos
MongoDB
  • By MongoDB
  • Located in United States
  • Founded in 2007
Elastic Stack
  • By Elastic
  • Located in United States
  • Founded in 2012
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