Aerospike Database 7 vs Cassandra vs MongoDB comparison

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Aerospike Database 7

Cassandra

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Executive Summary

We performed a comparison between Aerospike Database 7, Cassandra, and MongoDB based on real PeerSpot user reviews.

Find out what your peers are saying about MongoDB, ScyllaDB, Microsoft and others in NoSQL Databases.

To learn more, read our detailed NoSQL Databases Report (Updated: March 2025).

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NoSQL Databases

March 2025

Helped 849,686 peers since 2012

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 May 2025, in the NoSQL Databases category, the mindshare of Aerospike Database 7 is 3.7%, up from 2.6% compared to the previous year. The mindshare of Cassandra is 10.7%, down from 12.7% compared to the previous year. The mindshare of MongoDB is 17.4%, down from 26.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases

Featured Reviews

Manikandan Gunasekaran

Director of Engineering at Ola

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.

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Himanshu Amodwala

Senior cloud solution architect at Microsoft

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.

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Uzair Faruqi

Head Of Analytics at Mjunction Services

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…

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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."

"The most valuable feature of Cassandra is its fast retrieval. Additionally, the solution can handle large amounts of data. It is the quickest application we use."

"The most valuable features are the counter features and the NoSQL schema. It also has good scalability. You can scale Cassandra to any finite level."

"Cassandra is good. It's better than CouchDB, and we are using it in parallel with CouchDB. Cassandra looks better and is more user-friendly."

"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."

"A consistent solution."

"The time series data was one of the best features along with auto publishing."

"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."

More Cassandra pros

"It is convenient to use because we can do manipulations with the JSON data that we get. There are also a lot of joins and associations with MongoDB, which makes it easy to use for us."

"like its performance and the stability. It's very stable and, performance-wise, it's really great."

"MongoDB is relatively fast compared to relational databases."

"One of the most valuable features of MongoDB is it is Its open source."

"The most valuable feature is the speed of MongoDB."

"The most valuable features of MongoDB include the flexible schema for storing data, its replication capabilities with high availability through a replica set setup, and horizontal scalability using sharding."

"It is very easy to create a MongoDB cluster. You can deploy three nodes in one hour. You can do small configurations to enable routing. It is easy to implement."

"The solution is user-friendly with a good object retrieval feature."

More MongoDB pros

Cons

"The lack of automation in upgrading clusters from development to production is a concern."

"Doesn't support a solution that can give aggregation."

"There could be more integration, and it could be more user-friendly."

"Depending upon our schema, we can't make ORDER BY or GROUP BY clauses in the product."

"We experience configuration issues when accommodating the volumes we require, which often necessitates consultation with the Cassandra development team."

"Interface is not user friendly."

"The secondary index in Cassandra was a bit problematic and could be improved."

"Cassandra could be more user-friendly like MongoDB."

"Cassandra is very complex to manage. Sometimes, I need to involve a senior DevOps engineer if we encounter a problem."

More Cassandra cons

"MongoDB should be more stable, and support should be more efficient."

"Our program developer finds it to be a little unstable, development-wise."

"More stable indexes would be helpful in a future release. That's been an issue for some time. I don't know if it's been fixed now but we transitioned to it because we needed a search index to be able to search for things and if that goes or starts disappearing, we have to move away from that solution. I don't know if they fixed it, last time I had this issue was three years ago so they might have solved it."

"People coming from RDBMS should have the flexibility to write queries in SQL that can be converted into JSON queries."

"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."

"From my point of view, they need a totally free IDE to work at high levels."

"The dashboard is an area of concern in the solution where improvements are required."

"The on-premises version of the solution is still pretty expensive, especially compared to the cloud version."

More MongoDB cons

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 use the tool's open-source version."

"We pay for a license."

"I don't have the specific numbers on pricing, but it was fairly priced."

"Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise."

"There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly."

"We are using the open-source version of Cassandra, the solution is free."

"I believe that MongoDB is free."

"I don't know, but I have heard from people who procure it that it is much cheaper than Oracle."

"MongoDB is an open-source solution."

"If you want support with the solution you will need to purchase a license and not use the open-source version. The license is a little expensive."

"I'm using the free version of MongoDB."

"It is rather expensive."

"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's pricing is not reasonable, but it is not as expensive as the others."

More MongoDB pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

16%

Financial Services Firm

12%

Insurance Company

Non Profit

Financial Services Firm

22%

Computer Software Company

15%

Comms Service Provider

University

Financial Services Firm

19%

Computer Software Company

15%

University

Manufacturing Company

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 is your experience regarding pricing and costs for Cassandra?

We are using Cassandra locally and as open-source.

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 ...

ScyllaDB vs Aerospike Database 7

Comparisons

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Compared 16% of the time

Apache HBase vs Aerospike Database 7

Compared 16% of the time

SingleStore vs Aerospike Database 7

Compared 14% of the time

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Couchbase vs Cassandra

Compared 16% of the time

ClickHouse vs Cassandra

Compared 11% of the time

ScyllaDB vs Cassandra

Compared 9% of the time

InfluxDB vs Cassandra

Compared 7% of the time

SingleStore vs Cassandra

Compared 3% of the time

More Cassandra Competitors

InfluxDB vs MongoDB

Compared 16% of the time

Couchbase vs MongoDB

Compared 11% of the time

Milvus vs MongoDB

Compared 8% of the time

Qdrant vs MongoDB

Compared 5% of the time

Faiss vs MongoDB

Compared 5% of the time

More MongoDB Competitors

Product Reports

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NoSQL Databases

March 2025

Download Cassandra product report

Cassandra

April 2025

Download MongoDB product report

April 2025

Overview

Aerospike is an enterprise-class, NoSQL database solution for real-time operational applications that delivers predictable performance at scale, superior uptime, and high availability at the lowest Total Cost of Ownership compared to first-generation NoSQL and relational databases.

Aerospike

Cassandra is a distributed and scalable database management system used for real-time data processing.

It is highly valued for its ability to handle large amounts of data, scalability, high availability, fault tolerance, and flexible data model.

It is commonly used in finance, e-commerce, and social media industries.

Apache

MongoDB is a flexible and scalable NoSQL database solution that efficiently handles both structured and unstructured data. It is known for its ease of use, JSON capabilities, and efficient data handling, making it ideal for developer-friendly environments.

MongoDB stands out with features like sharding, geospatial indexing, and its open-source nature. Users find it fast and appreciate its seamless integration into different applications. Despite being powerful, it remains straightforward to set up and use, bolstered by a clustering and aggregation framework that enhances its functionality. While generally appreciated for its cost-effectiveness and broad application compatibility, there is room for improvement in security, enterprise integration, and the creation of more robust training and documentation resources. Enhancing performance and adding support for traditional relational database concepts could also prove beneficial.

What are MongoDB's most important features?

Scalability: Efficiently manages growing data volumes.
Flexibility: Supports structured and unstructured data with ease.
Sharding: Distributes data across multiple servers.
Geospatial Indexing: Enables location-based data handling.
Open-source: Wide community support and customization.

What benefits or ROI should users look for?

Cost-effectiveness: Reduces overall database management expenses.
Ease of Use: Simplifies database setup and maintenance.
Developer-friendly: Accelerates application development with supportive tools.
Scalable Solutions: Adapts to evolving business requirements.

MongoDB finds widespread application across industries like healthcare, logistics, and telecommunications. It efficiently powers IoT platforms, data analytics, and document management systems. Its schema flexibility and JSON storage capabilities make it ideal for real-time processing and multi-server databases, essential for handling large-scale data volumes in modern applications.