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Aerospike Database 7 vs Cassandra vs MongoDB comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Mindshare comparison

As of June 2025, in the NoSQL Databases category, the mindshare of Aerospike Database 7 is 3.5%, up from 2.6% compared to the previous year. The mindshare of Cassandra is 10.6%, down from 12.9% compared to the previous year. The mindshare of MongoDB is 16.3%, down from 26.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
NoSQL Databases
 

Featured Reviews

Manikandan Gunasekaran - PeerSpot reviewer
Boost authentication and session management with reliable and fast data handling
There is a lot of technical debt in our company, and we need to update to the latest versions. The lack of automation in upgrading clusters from development to production is a concern. A tool for automatically handling such upgrades would reduce operational huddle. Additionally, it would be beneficial if Aerospike had a community version to encourage broader adoption and experimentation.
Himanshu Amodwala - PeerSpot reviewer
Well-equipped to handle a massive influx of data and billions of requests
The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operates 24/7, providing services to sellers and customers alike, the need for real-time updates is paramount. For instance, when a customer leaves comments or feedback on an image, they anticipate an immediate reflection of these changes on the portal. Similarly, sellers altering product attributes or updating images expect instant visibility of these modifications. Handling large data volumes with Cassandra has been an excellent experience. Despite challenges related to the influx, these were not attributed to Cassandra itself but rather to middle-layer issues. Generally, it demonstrated scalability with workloads, thanks to its horizontal scaling capabilities. We could easily add new nodes to the system as needed, ensuring the platform coped well with increasing loads. The tool's most beneficial feature for scalability is its entire architecture. The absence of a single point of failure or a leader within the ecosystem contributes to its robust scalability. This key aspect influenced our decision to opt for the Cassandra ecosystem. In terms of performance, it demonstrated the ability to handle approximately 1.6 billion requests per day. This was achieved on AWS using EC2 instances, and it was during a period about four to five years ago.
Uzair Faruqi - PeerSpot reviewer
Transforms data flow with adaptable schema and smooth public cloud deployment
One of our business units uses MongoDB, and we developed an ETL pipeline that extracts data from MongoDB and transfers it into our data warehouse MongoDB is a NoSQL database that is similar to a document database. It offers flexibility in schema adaptation, allowing us to change the schema and…

Quotes from Members

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

Pros

"It shows better compression and compaction, which is valuable."
"A consistent solution."
"The most valuable features of this solution are its speed and distributed nature."
"Cassandra offers high availability and fault tolerance, making it suitable for large-scale data storage and real-time processing."
"The most valuable features of Cassandra are the NoSQL database, high performance, and zero-copy streaming."
"Overall, I would rate Cassandra as nine because of its fast writes, which really suit our use cases mostly."
"The most valuable features of Cassandra are its scaling capabilities and its non-SQL nature capabilities."
"Our primary use case for the solution is testing."
"Some of the valued features of this solution are it has good performance and failover."
"I like the schemaless architecture that it follows. I also like the sharding that it provides."
"The most valuable feature is the geometric information done with GeoJSON."
"We find the query and speed very valuable."
"One of the biggest benefits is the speed and flexibility of the documents, especially when it comes to modifications."
"It facilitates the generation of heatmaps for graphical data analysis."
"One of the most valuable features is the ability to Text Search can be used anywhere and anytime."
"We haven't had any issues with stability."
"One of the first things I noticed when I had my first experience with MongoDB was how easy it was to use. I was expecting more difficulties or at least some challenges, but it was very, very easy to use. It's great technology, performs well, and is very convenient."
 

Cons

"The lack of automation in upgrading clusters from development to production is a concern."
"It can be difficult to analyze what's going on inside of the database relative to other databases. It can also be difficult to troubleshoot sometimes."
"Cassandra is very complex to manage. Sometimes, I need to involve a senior DevOps engineer if we encounter a problem."
"The solution is not easy to use because it is a big database and you have to learn the interface. This is the case though in most of these solutions."
"Cassandra can improve by adding more built-in tools. For example, if you want to do some maintenance activities in the cluster, we have to depend on third-party tools. Having these tools build-in would be e benefit."
"Doesn't support a solution that can give aggregation."
"The solution doesn't have joins between tables so you need other tools for that."
"The solution is limited to a linear performance."
"The initial setup of Cassandra can be difficult in the configuration. There might be a need to have assistance. The implementation process can six months for connecting to certain databases."
"The MongoDB documentation can be a little complicated sometimes."
"It isn't easy to recognize entities with MongoDB."
"I think that MongoDB's search engine should be improved."
"There was a need for integrating relational database capabilities, however, MongoDB has introduced a relational converter that allows conversion between SQL and NoSQL."
"It is important to note that MongoDB has limitations since it can only be used for specific use cases. For example, for master data, I would want to pick keys using an RDBMS, but for attachments, I would choose MongoDB."
"The on-premises version of the solution is still pretty expensive, especially compared to the cloud version."
"I feel that most people don't know a lot about MongoDB, so maybe they could add some more documentation and tutorials."
"I'd like to see an ID generator. It's very technical but I don't think it has one, so we have to go to great lengths to work around that."
 

Pricing and Cost Advice

"We use around half a TB of data and spend approximately $36,000 to $40,000 USD per year on Aerospike."
"I don't have the specific numbers on pricing, but it was fairly priced."
"I use the tool's open-source version."
"There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly."
"We pay for a license."
"We are using the open-source version of Cassandra, the solution is free."
"Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise."
"MongoDB's pricing is reasonable."
"I only used the open-source version."
"I currently use the solution's community edition which is free."
"I believe that the licensing fees are paid on a yearly basis."
"MongoDB is an open-source solution."
"It's a community edition, so we do not pay anything."
"I chose MongoDB because it is cost-effective compared to Oracle, which can be expensive. In addition, MongoDB has good performance and has not caused any issues while working with it. It has been a good choice for me."
"MongoDB is a bit expensive compared to its competitors."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
15%
Comms Service Provider
10%
Insurance Company
6%
Financial Services Firm
21%
Computer Software Company
15%
Comms Service Provider
6%
Retailer
6%
Financial Services Firm
17%
Computer Software Company
14%
University
7%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Aerospike Database 7?
We use around half a TB of data and spend approximately $36,000 to $40,000 USD per year on Aerospike.
What needs improvement with Aerospike Database 7?
There is a lot of technical debt in our company, and we need to update to the latest versions. The lack of automation...
What is your primary use case for Aerospike Database 7?
Aerospike is mainly used as the first step for authentication, authorization, and session persistence in our organiza...
What do you like most about Cassandra?
The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operat...
What needs improvement with Cassandra?
While Cassandra can handle NoSQL, I think there should be more flexibility for whole schema design when data is store...
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?
We use the free version of MongoDB, so there are no licensing costs.
What needs improvement with MongoDB?
There is room for improvement in integrating MongoDB with agentive AI solutions. While solutions for other databases ...
 

Comparisons

 

Overview

 

Sample Customers

AppNexus, Adform, KAYAK, Williams-Sonoma Inc., The Trade Desk, GREE, BlueKai, Chango CTO, InMobi, Yashi, eXelate CTO, Snapdeal, adMarketplace, Tapad, Komli Media, Neustar, So-net Media Networks, IMHO Vi, Vizury
1. Apple 2. Netflix 3. Facebook 4. Instagram 5. Twitter 6. eBay 7. Spotify 8. Uber 9. Airbnb 10. Adobe 11. Cisco 12. IBM 13. Microsoft 14. Yahoo 15. Reddit 16. Pinterest 17. Salesforce 18. LinkedIn 19. Hulu 20. Airbnb 21. Walmart 22. Target 23. Sony 24. Intel 25. Cisco 26. HP 27. Oracle 28. SAP 29. GE 30. Siemens 31. Volkswagen 32. Toyota
Facebook, MetLife, City of Chicago, Expedia, eBay, Google
Find out what your peers are saying about MongoDB, ScyllaDB, InfluxData and others in NoSQL Databases. Updated: June 2025.
857,585 professionals have used our research since 2012.