MongoDB Enterprise Advanced vs Redis comparison

MongoDB Enterprise Advanced

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Executive SummaryUpdated on Mar 15, 2026

MongoDB Enterprise Advanced and Redis are both strong contenders in the database management and real-time application solution categories. MongoDB has the advantage with a robust feature set for large-scale and semi-structured data, although Redis leads in speed and simplicity for caching and real-time use cases.

Features: MongoDB Enterprise Advanced provides enterprise integration, high scalability, and effective cloud redeployment. It is ideal for handling semi-structured data and offers robust aggregations. Redis offers an in-memory solution with rapid data retrieval, real-time application support, and high availability.

Room for Improvement: MongoDB needs better security and auditing, BI tool integration, and improved indexing. It also faces complexity in integrations and default security settings. Redis could improve scalability documentation, cluster management, and persistence features for enterprise applications.

Ease of Deployment and Customer Service: MongoDB supports diverse deployment options, including cloud, on-premises, and hybrid setups, but support for community editions relies on forums. Redis, although easy to deploy, offers limited support beyond community resources without commercial subscriptions.

Pricing and ROI: MongoDB offers a cost-effective solution compared to Oracle, with a free community version and commercial edition, though on-premises can be costly. Redis is open-source, typically cheaper but might incur costs for managed services and high memory demands. MongoDB's pricing complexity contrasts with Redis’s lower cost barrier.

To learn more, read our detailed MongoDB Enterprise Advanced vs. Redis Report (Updated: April 2026).

MongoDB Enterprise Advanced vs. Redis

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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:

ROI

Sentiment score

5.0

Users report varied ROI from MongoDB Enterprise Advanced, with some benefiting and others finding measurement difficult, considering alternatives.

Sentiment score

7.2

Redis enhances ROI by improving performance, reducing costs, increasing productivity, and ensuring reliable, scalable, and efficient service.

Actually, with MongoDB, it's difficult to calculate the return on investment; it's too expensive for our use.

Architecte Cloud at Visiativ SA

I would say we see value in money and return on investment with MongoDB Enterprise Advanced.

For more quotes and insights, download the MongoDB Enterprise Advanced report

Co-Founder at Vsigma IT Labs Pvt Ltd

It improved API latency from two seconds to 450 milliseconds for P99.

Senior Software Developer at NIT

We reduced the database read load by around 30 to 40 percent and improved API response time by 20 to 30 percent, specifically for frequently accessed endpoints.

For more quotes and insights, download the Redis report

SDE 2 at Virtusa

Customer Service

Sentiment score

6.2

MongoDB Enterprise Advanced offers prompt support for paid users, while Community Edition relies on self-help and community resources.

Sentiment score

5.8

Redis is stable and reliable, with helpful support, strong documentation, and often minimal need for direct assistance.

We have received fairly good support whenever we reached out to the technical teams; they were prompt.

For more quotes and insights, download the MongoDB Enterprise Advanced report

Co-Founder at Vsigma IT Labs Pvt Ltd

I think they resolved it, but it was very long.

Romel Jr Zerna

Software Engineer at Pioneer Dev AI

The documentation and community support for Redis are very strong, making troubleshooting quicker.

Senior Software Developer at NIT

Since Redis is quite stable and well-documented, we have not needed much support, but when required, the response has been helpful.

For more quotes and insights, download the Redis report

SDE 2 at Virtusa

Scalability Issues

Sentiment score

7.5

MongoDB Enterprise Advanced is praised for its high scalability and adaptability, despite some limitations and cost implications.

Sentiment score

7.8

Redis excels in horizontal and vertical scaling, offering clustering, sharding, and compatibility with Azure and AWS for enterprise adaptability.

In CosmoDB, the scalability is much better than with the MongoDB ReplicaSet models.

Architecte Cloud at Visiativ SA

MongoDB is highly scalable.

For more quotes and insights, download the MongoDB Enterprise Advanced report

Head Of Data Science at Mjunction Services

Overall, on a scale of one to ten, I would rate MongoDB an eight; it's mostly because we're still running a monolithic environment on old hardware, so there are some limitations with read-write access.

Cameron-Bashaw

General Manager at Lytwave

Data migration and changes to application-side configurations are challenging due to the lack of automatic migration tools in a non-clustered legacy system.

Data Engineer at a photography company with 1,001-5,000 employees

I scale Redis horizontally using clustering and sharding, where data is distributed across multiple nodes to handle higher traffic and larger data sets.

Senior Software Developer at NIT

With features such as clustering and replication, it can handle high traffic and a large database very effectively.

For more quotes and insights, download the Redis report

SDE 2 at Virtusa

Stability Issues

Sentiment score

7.6

MongoDB Enterprise Advanced is generally stable, reliable for backups, though performance may vary; rated seven to nine in stability.

Sentiment score

7.8

Redis is stable, handles heavy loads, offers high availability, and uses persistence mechanisms, making it a trusted choice.

It's pretty much stable; we have not faced any major challenges or difficulties with MongoDB Enterprise Advanced.

For more quotes and insights, download the MongoDB Enterprise Advanced report

Co-Founder at Vsigma IT Labs Pvt Ltd

Redis is fairly stable.

For more quotes and insights, download the Redis report

Data Engineer at a photography company with 1,001-5,000 employees

Room For Improvement

MongoDB Enterprise Advanced can improve by enhancing security, support, integration, scalability, analytics, user interface, and mobile features.

Redis users face challenges with scalability, GUI, documentation, security, and seek enhancements in monitoring, analytics, and multi-tenancy features.

While solutions for other databases like SQL or PostgreSQL already exist, MongoDB requires additional integrations for developing AI solutions.

Head Of Data Science at Mjunction Services

We have not contracted the security options in our contract because they're too expensive; thus, we implement just encrypted databases and not the security pack.

Architecte Cloud at Visiativ SA

From the AWS standpoint, if robust integration and data warehouse integration specific tools are added in the advanced suite, that would definitely be helpful.

For more quotes and insights, download the MongoDB Enterprise Advanced report

Co-Founder at Vsigma IT Labs Pvt Ltd

Data persistence and recovery face issues with compatibility across major versions, making upgrades possible but downgrades not active.

Data Engineer at a photography company with 1,001-5,000 employees

Redis itself does not enforce consistency with the primary database, so developers need to carefully design cache invalidation strategies.

Ravi Raushan Kumar

Software Engineer at ValueMomentum

One issue is cache invalidation. Keeping cache data consistent with the source of truth can be tricky, especially in distributed systems.

For more quotes and insights, download the Redis report

Senior Software Developer at NIT

Setup Cost

MongoDB Enterprise Advanced offers cost-effective pricing with various editions and support, valued by small businesses for enterprise transition.

Redis pricing depends on memory, cluster size, and infrastructure, with higher costs than SQL due to RAM usage.

We use the free version of MongoDB, so there are no licensing costs.

Head Of Data Science at Mjunction Services

We have to pay approximately 2,000 euros per month for MongoDB.

Architecte Cloud at Visiativ SA

For a small company, the cost of MongoDB Enterprise Advanced is reasonable, but for heavy data usage, we see a little bit of cost pressure but it's acceptable.

For more quotes and insights, download the MongoDB Enterprise Advanced report

Co-Founder at Vsigma IT Labs Pvt Ltd

Since we use an open-source version of Redis, we do not experience any setup costs or licensing expenses.

Data Engineer at a photography company with 1,001-5,000 employees

The costs are primarily driven by memory consumption and cluster size, since Redis operates in-memory.

Senior Software Developer at NIT

The pricing is reasonable for the performance provided.

For more quotes and insights, download the Redis report

SDE 2 at Virtusa

Valuable Features

MongoDB Enterprise Advanced provides scalable, stable, and flexible data management with advanced analytics, NoSQL features, and comprehensive security.

Redis offers low latency, high throughput, and scalability with rich data structures, ideal for real-time applications and caching.

It offers flexibility in schema adaptation, allowing us to change the schema and add new data points.

Head Of Data Science at Mjunction Services

In ReplicaSet, it's acceptable, but if your workload needs more performance, and you must pass to a Sharding model, it becomes complicated in MongoDB; in Cosmos DB, however, it's simple.

For more quotes and insights, download the MongoDB Enterprise Advanced report

Architecte Cloud at Visiativ SA

MongoDB has definitely helped us improve our network monitoring and reporting dashboard.

Cameron-Bashaw

General Manager at Lytwave

It functions similarly to a foundational building block in a larger system, enabling native integration and high functionality in core data processes.

Data Engineer at a photography company with 1,001-5,000 employees

First is its in-memory preference, as Redis is extremely fast, making it ideal for caching and session management where low latency is critical.

Ravi Raushan Kumar

Software Engineer at ValueMomentum

Real API latency improved from around two seconds to approximately 450 milliseconds for P99.

For more quotes and insights, download the Redis report

Senior Software Developer at NIT

Categories and Ranking

MongoDB Enterprise Advanced

Ranking in NoSQL Databases

1st

Ranking in Managed NoSQL Databases

4th

Average Rating

8.2

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Open Source Databases (5th)

Redis

Ranking in NoSQL Databases

4th

Ranking in Managed NoSQL Databases

6th

Average Rating

8.8

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

In-Memory Data Store Services (1st), Vector Databases (4th), AI Software Development (13th)

Mindshare comparison

As of May 2026, in the NoSQL Databases category, the mindshare of MongoDB Enterprise Advanced is 13.3%, down from 17.4% compared to the previous year. The mindshare of Redis is 8.6%, up from 6.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
MongoDB Enterprise Advanced	13.3%
Redis	8.6%
Other	78.1%

NoSQL Databases

Featured Reviews

Offers reliable engine for legacy needs but requires enhanced cost management and AI features

Architecte Cloud at Visiativ SA

While MongoDB is a good product, it is also an expensive product for support, and its scalability is acceptable, but the big problem with MongoDB is the cost. For security in MongoDB, we work with encrypted databases by default, but we have not contracted the security options in our contract because it is too expensive, so we only implement encrypted databases without the security pack, which is very expensive for us; in security, we are at the first steps, just using encrypted databases. I think additional features needed in MongoDB include perhaps vector databases, as I think they are not supported right now.

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Caching has accelerated complex workflows and delivers low latency for high-traffic microservices

Senior Software Developer at NIT

A few features of Redis that I use on a day-to-day basis and feel are among the best are extremely low latency and high throughput. Since Redis is in-memory, it makes it ideal for cases such as caching and rate limiting where response time is critical. TTL expiry support is very useful in Redis as it allows me to automatically evict stale data without manual cleanup, which is something I use heavily in my caching strategy. Another point I can mention is that the rich data structures such as strings, hashes, and even sorted sets are very powerful. I have used strings for caching responses and counters, whereas I have used hashes for storing structured objects. One more feature I can tell you about is atomic operations. Redis guarantees atomicity for operations such as incrementing a counter, which is very useful for rate limiting and avoiding race conditions in distributed systems. Finally, I want to emphasize that Redis is easy to scale and integrate, whether through clustering or using a distributed cache across microservices. Redis has impacted my organization positively by providing default support that is very useful. For metrics, in one of my core systems, introducing Redis as a distributed cache helped me achieve around an 80% cache hit rate, which reduced repeated downstream services. Real API latency also improved from around two seconds to approximately 450 milliseconds for P99. It also helped reduce the load on dependent services and databases, which improved overall system reliability.

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Manufacturing Company

Computer Software Company

University

Financial Services Firm

24%

Computer Software Company

10%

Comms Service Provider

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	36
Midsize Enterprise	13
Large Enterprise	39

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	6
Large Enterprise	10

Questions from the Community

What do you like most about MongoDB?

MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial.

What is your experience regarding pricing and costs for MongoDB?

I think it depends on the provider. For example, on DigitalOcean, they have strict routing. You have to whitelist an IP address, or you risk getting DDoS. Then if you're going for the Atlas one tha...

What needs improvement with MongoDB?

I don't really have a deep dive into it, but I see that MongoDB Enterprise Advanced has RAG and Vertex support. However, we really didn't use it because I think one thing also is that Prisma, the O...

What do you like most about Redis?

Redis is better tested and is used by large companies. I haven't found a direct alternative to what Redis offers. Plus, there are a lot of support and learning resources available, which help you u...

What needs improvement with Redis?

Overall, Redis is a powerful and reliable tool, but there are a few areas for improvement. One limitation is that Redis is memory-based, so scaling can become expensive compared to disk-based syste...

What is your primary use case for Redis?

My main use case for Redis is caching frequently accessed data to improve performance and reduce database load. For example, I cache API responses and user-related data so that repeated requests ca...

MongoDB Atlas vs MongoDB Enterprise Advanced

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Product Reports

MongoDB Enterprise Advanced

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Also Known As

No data available

Redis Enterprise

Overview

MongoDB Enterprise Advanced is a comprehensive platform renowned for its scalability, user-friendliness, and high performance, underpinned by its flexible document-based storage and open-source model. JSON compatibility, clustering, and security elevate its standing among professionals.

The platform facilitates efficient data management through developer-friendly tools and a strong aggregation framework. MongoDB’s no-schema requirement, supported by community expertise, underlines its adaptability. While its sharding capabilities and affordably support large data volumes, there are aspects such as security enhancement and enterprise tool integration that need attention. Indexing and query optimization pose challenges, alongside high costs. Improvements in analytics and UI could advance its infrastructure further.

What are the key features of MongoDB Enterprise Advanced?

Scalability: Dynamic adjustments to workloads with ease.
JSON Compatibility: Seamless data structuring with JSON support.
Clustering: Enhanced data management through robust clustering.
Security Integration: Built-in security measures for data protection.
Sharding: Efficient distribution of large datasets.

What benefits should users look for in reviews?

Document-Based Storage: Flexibility in managing varied data types.
Open-Source: Access to a broad community and resources.
Low-Cost Implementation: Economic efficiency in deployment.
Scalability: Supports the growth of data without sacrificing performance.

Industries leverage MongoDB Enterprise Advanced for significant roles in data storage within IoT platforms, healthcare apps, public service monitoring, and big data analytics. Companies in logistics and telecommunications find it instrumental for business process management and video content management, benefiting from its seamless integration and unstructured data support.

MongoDB

Redis offers high-speed, in-memory storage, renowned for real-time performance. It supports quick data retrieval and is used commonly in applications like analytics and gaming.

Renowned for real-time performance, Redis delivers high-speed in-memory storage, making it a favorite for applications needing quick data retrieval. Its diverse data structures and caching capabilities support a broad array of use cases, including analytics and gaming. Redis ensures robust scalability with master-slave replication and clustering, while its publish/subscribe pattern renders it reliable for event-driven applications. The solution integrates smoothly with existing systems, minimizing performance tuning needs. Although documentation on scalability and security could be improved, Redis remains cost-effective and stable, commonly utilized in cloud environments. Enhancing integration with cloud services like AWS and Google Cloud and refining GUI may improve usability.

What are the key features of Redis?

High Speed: In-memory data storage for swift access.
Scalability: Master-slave replication and clustering for growth.
Data Structures: Supports diverse types for varied uses.
Persistence: RDB snapshots and AOF logs ensure durability.
Integration: Seamless integration reduces tuning efforts.

What should users look for in Redis reviews?

Performance: Real-time data retrieval boosts efficiency.
Cost-Effectiveness: Stable, budget-friendly implementation.
Versatility: Suitable for diverse environments and platforms.
Reliability: Ensures data persistence and high availability.

Redis finds application across industries for tasks like caching to improve application performance and speed, minimizing database load. It enables real-time processing for session storage, push notifications, and analytics. As a messaging platform, Redis handles high traffic and supports replication and clustering for cross-platform scalability.

Sample Customers

Facebook, MetLife, City of Chicago, Expedia, eBay, Google

1. Twitter 2. GitHub 3. StackOverflow 4. Pinterest 5. Snapchat 6. Craigslist 7. Digg 8. Weibo 9. Airbnb 10. Uber 11. Slack 12. Trello 13. Shopify 14. Coursera 15. Medium 16. Twitch 17. Foursquare 18. Meetup 19. Kickstarter 20. Docker 21. Heroku 22. Bitbucket 23. Groupon 24. Flipboard 25. SoundCloud 26. BuzzFeed 27. Disqus 28. The New York Times 29. Walmart 30. Nike 31. Sony 32. Philips

MongoDB Enterprise Advanced vs. Redis