Mode Enterprise vs MongoDB Atlas comparison

The compared Mode and MongoDB solutions aren't in the same category. Mode is ranked #29 in BIT , with an average rating of 6.5, and holds a 0.9% mindshare in the category. MongoDB is ranked #3 in DS , with an average rating of 8.2, and holds a 11.4% mindshare. Additionally, 83% of Mode users are willing to recommend the solution, compared to 96% of MongoDB users who would recommend it.

Mode Enterprise

Read 6 Mode Enterprise reviews

1,879 Views
1,409 Comparison Views

83% willing to recommend

MongoDB Atlas

Read 52 MongoDB Atlas reviews

8,502 Views
4,251 Comparison Views

96% willing to recommend

Mode Enterprise

MongoDB Atlas

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Mode Enterprise and MongoDB Atlas based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Salesforce, SAP and others in BI (Business Intelligence) Tools.

To learn more, read our detailed BI (Business Intelligence) Tools Report (Updated: May 2026).

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BI (Business Intelligence) Tools

May 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Mode Enterprise

Average Rating

7.4

Reviews Sentiment

4.8

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (29th)

MongoDB Atlas

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (3rd), Managed NoSQL Databases (3rd), Database Management Systems (DBMS) (3rd), AI Software Development (6th)

Mindshare comparison

Mode Enterprise and MongoDB Atlas aren’t in the same category and serve different purposes. Mode Enterprise is designed for BI (Business Intelligence) Tools and holds a mindshare of 0.9%, up 0.5% compared to last year.
MongoDB Atlas, on the other hand, focuses on Database as a Service (DBaaS), holds 11.4% mindshare, down 14.1% since last year.

BI (Business Intelligence) Tools Mindshare Distribution
Product	Mindshare (%)
Mode Enterprise	0.9%
Microsoft Power BI	8.1%
Tableau Enterprise	6.2%
Other	84.8%

BI (Business Intelligence) Tools

Database as a Service (DBaaS) Mindshare Distribution
Product	Mindshare (%)
MongoDB Atlas	11.4%
Amazon RDS	11.9%
Microsoft Azure SQL Database	9.9%
Other	66.8%

Database as a Service (DBaaS)

Featured Reviews

Shivkumar Targude

Senior Software Engineer at a tech services company with 1,001-5,000 employees

Custom cohort dashboards have transformed customer tracking but still need richer built‑in visuals

From my perspective, adding more custom visualizations as inbuilt features would be greatly beneficial for developers and other teams. For specific visualizations, we currently need to use Python and JavaScript combinations to create great visualizations such as cohort analysis. If these visualizations were added by default to Mode Enterprise, it would be beneficial for all of us. There are common visualizations that are not currently in Mode Enterprise but should be added. There are advantages and disadvantages to the current state. The advantages mainly include the ability to combine all datasets, which definitely reduces time. Because Python and JavaScript are supported, we can develop cohort dashboards, which many other BI tools do not support. Mode Enterprise supports cohort dashboards, which is a significant advantage.

Read full review

Varuns Ug

Senior Software Developer at NIT

Flexible document workflows have accelerated schema changes and simplified evolving data models

MongoDB Atlas currently has almost all the features we require, but there are some points where I see certain improvements. One area is cost visibility and optimization. Since pricing is largely based on storage and cluster size, it can sometimes be difficult to predict or optimize cost without deeper insights. More granular cost breakdowns or recommendations would be helpful. Another area I can mention is performance tuning transparency. While MongoDB Atlas provides monitoring and suggestions, debugging deeper issues like slow queries, index efficiency, or shard imbalance can sometimes require more control or visibility. Cost optimization, deeper performance insight, and easier scaling decisions would make MongoDB Atlas even more powerful. A couple of additional areas where MongoDB Atlas could improve are integrations and developer experience. For integrations, while MongoDB Atlas supports major cloud providers and tools, deeper and more seamless integration with observability patterns would make troubleshooting distributed systems easier. On the documentation side, while it is generally good, some advanced topics like sharding strategies, performance tuning, and real-world scaling patterns could benefit from more practical guidance. Additionally, a better local-to-cloud development experience, making it easier to replicate production-like MongoDB Atlas environments locally, would help developers test performance and scaling scenarios more efficiently.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The solution is simple for people from a viewing perspective, not a coding perspective."

"The most important feature of the solution is the ability to run Python-based scripts."

"I have used many other BI tools, but when I compare other BI tools with Mode Enterprise, I find it more interesting because it supports Amazon Redshift and cloud-related technology as well as some static-related technology, and it also supports customization through coding with JavaScript and Python."

"The tool helps to catch results and review them."

"Mode Enterprise positively impacted my organization with its clean visualization and slightly faster response times."

"The most valuable feature I would say is the flexibility in editing."

"It enables us to get work done quickly and get to our data."

"This solution is very helpful due to its ease of use."

"The integration and configuration of this product in our AWS environment were easy and straightforward."

"MongoDB is a NoSQL tool."

"It's flexible. We don't need to have a solid upstream availability failover, and everything is seamless in Atlas."

"The product provides quick transaction service, high availability, and efficient scalability features."

"Our databases used to be in-house. Now, they are in the cloud with MongoDB and everything is much easier."

"Being schemaless is what I like best about MongoDB Atlas."

More MongoDB Atlas pros

Cons

"Mode Analytics needs to improve the overall user experience."

"I think in terms of User Interface, I would say it can be better."

"The data visualization is cumbersome in Mode Analytics. I want the solution to add a map that has an easy interface. The UI is slow sometimes."

"From my perspective, adding more custom visualizations as inbuilt features would be greatly beneficial for developers and other teams."

"Mode Enterprise can be improved by reducing the cost, as I think the enterprise version is much costlier."

"The solution could run faster."

"Querying a dataset is not very intuitive, so I think that it can be improved."

"Going forward, we would like to have pure AWS Cloud (native) storage instead regular storage on the AWS integration side."

"We had some bad trainers when we first came onboard and would rate them fairly low. They did not seem staffed properly to fulfill the training services that they offered."

"MongoDB Atlas is effective for unstructured and semi-structured data, but when it comes to OLTP transactions, its performance declines."

"If it could be cheaper, that would make us happy."

"I am not an expert on what improvements could be made to MongoDB."

"The replica side, like the venue, can be improved."

"From an improvement standpoint, MongoDB can improve security."

More MongoDB Atlas cons

Pricing and Cost Advice

"My decision-maker found the pricing expensive, but it is okay for me."

"Mode Analytics is cheap compared to other tools."

"The pricing is per user."

"For our service, it was around 300 to 600 euros per month, which was acceptable for our customers."

"We pay for the license on a monthly basis. It's not cheap or expensive. For smaller companies, it's definitely expensive."

"Pricing could always be better."

"The price of MongoDB Atlas is highly expensive to use and maintain. They are taking advantage of the users with such a high price."

"We're currently using the Atlas for the night and don't require a license. However, it can be a problem if you want to use their enterprise environment. Then you need to purchase the license."

"I am using the free version of the solution."

"The pricing is acceptable for enterprise tier."

"The pricing and licensing is great."

More MongoDB Atlas pricing and cost advice

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Top Industries

By visitors reading reviews

Construction Company

14%

Media Company

11%

Computer Software Company

Manufacturing Company

Financial Services Firm

11%

Manufacturing Company

11%

Construction Company

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	25
Midsize Enterprise	11
Large Enterprise	22

Questions from the Community

What needs improvement with Mode Analytics?

See all answers

What is your primary use case for Mode Analytics?

Mode Enterprise is being used for dashboard purposes only, specifically for custom dashboards. For the e-commerce domain, we use Mode Enterprise to track customers, such as finding out a customer's...

See all answers

What advice do you have for others considering Mode Analytics?

Regarding licensing, I cannot provide detailed information on that topic. However, I can say that Power BI is open-source. If Mode Enterprise were provided as open-source, more people could start u...

See all answers

What is your experience regarding pricing and costs for MongoDB Atlas?

Pricing-wise, MongoDB Atlas has a pay-as-you-go strategy. The documentation for MongoDB is very good; I have learned multiple things through reading it. The free tier is M0 for $0, which is suitabl...

See all answers

What needs improvement with MongoDB Atlas?

See all answers

What is your primary use case for MongoDB Atlas?

In my day-to-day work, I use MongoDB Atlas primarily for storing and querying semi-structured or dynamic data where schema flexibility is important, as I work extensively on schema design, indexing...

See all answers

Comparisons

Microsoft Power BI vs Mode Enterprise

Compared 13% of the time

Hex vs Mode Enterprise

Compared 11% of the time

Tableau Enterprise vs Mode Enterprise

Compared 9% of the time

Metabase vs Mode Enterprise

Compared 9% of the time

Raycast vs Mode Enterprise

Compared 8% of the time

More Mode Enterprise Competitors

Amazon RDS vs MongoDB Atlas

Compared 9% of the time

Microsoft Azure Cosmos DB vs MongoDB Atlas

Compared 7% of the time

MongoDB Enterprise Advanced vs MongoDB Atlas

Compared 7% of the time

Google Cloud SQL vs MongoDB Atlas

Compared 6% of the time

Microsoft Azure SQL Database vs MongoDB Atlas

Compared 6% of the time

More MongoDB Atlas Competitors

Product Reports

Buyer's Guide

BI (Business Intelligence) Tools

May 2026

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Buyer's Guide

MongoDB Atlas

May 2026

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Also Known As

No data available

Atlas, MongoDB Atlas (pay-as-you-go)

Overview

Mode Enterprise offers a data-focused analytics platform designed for businesses seeking advanced insights and efficiency. It combines robust data exploration with seamless reporting capabilities.

Mode Enterprise caters to data-driven enterprises by providing them with the tools necessary for real-time analysis. It’s engineered to enhance business decision-making through comprehensive data visualization, encouraging immediate insights and collaborative work across teams. The platform’s integration capabilities allow for smoother adaptation into existing workflows, enhancing agility and responsiveness.

What key features does Mode Enterprise offer?

Real-Time Collaboration: Enables teams to collaborate on reports simultaneously.
Data Visualization: Offers dynamic charts and graphs for data insights.
SQL Editor: Advanced querying tools for complex data analysis.
Custom Reporting: Flexible report creation tailored to specific metrics.

What benefits and ROI should users consider?

Improved Decision Making: Facilitates informed business strategies.
Increased Efficiency: Streamlines data management workflows.
Enhanced Collaboration: Supports transparent and cooperative efforts.
Cost-Effectiveness: Reduces time and resources spent on manual data handling.

Mode Enterprise effectively serves sectors like finance, retail, and healthcare by providing industry-specific analytics solutions. Its adaptability allows for personalized implementations, meeting each sector's unique data analysis needs and contributing to improved operational outcomes. By fostering agility, it aids industries in staying competitive through timely insights and informed strategic decisions.

Mode

MongoDB Atlas stands out with its schemaless architecture, scalability, and user-friendly design. It simplifies data management with automatic scaling and seamless integration, providing dynamic solutions for diverse industries.

MongoDB Atlas offers a cloud-based platform valued for its seamless integration capabilities and high-performance data visualization. It features advanced security options such as encryption and role-based access control alongside flexible data storage and efficient indexing. Users benefit from its robust API support and the ability to manage the platform without an extensive setup process. Feedback suggests improvements are needed in usability, query performance, security options, and third-party tool compatibility. While pricing and support services could be more economical, there is a demand for enhanced real-time monitoring and comprehensive dashboards, as well as advanced containerization and scalability options supporting complex database structures.

What are the key features of MongoDB Atlas?

Schemaless Architecture: Flexible data storage without predefined structure.
Automatic Scaling: Dynamically adjusts resources to meet demand.
Advanced Security: Encryption and role-based access control.
User-Friendly Interface: Simplified management and operation.
Robust API Support: Facilitates integration with applications.

What benefits should you consider in a solution like MongoDB Atlas?

Cost-Effective Management: Minimizes setup and operational costs.
Dynamic Data Management: Adapts to varying business demands.
Seamless Integration: Connects easily with other tools and frameworks.
High Performance: Optimized for real-time data processing and visualization.
Reliable Support: Accessible assistance and comprehensive documentation.

In healthcare and finance, MongoDB Atlas manages payment transactions and facilitates real-time analytics, powering SaaS solutions and storing large volumes of user data. It enhances scalability, performance, and security for cloud hosting, IoT integrations, and Node.js environments, widely favored for its flexibility and capability to support microservices.

MongoDB

Sample Customers

Lyft, Zenefits, Twitch, Trello, Clover, Grovo, CrowdFlower, Segment, Everlane, Pocket, Highfive

Wells Fargo, Forbes, Ulta Beauty, Bosch, Sanoma, Current (a Digital Bank), ASAP Log, SBB, Zebra Technologies, Radial, Kovai, Eni, Accuhit, Cognigy, and Payload.

Buyer's Guide

BI (Business Intelligence) Tools

May 2026

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