Cassandra vs Vespa comparison

Apache and Vespa.ai are both solutions in the Vector Databases category. Apache is ranked #12 with an average rating of 8.6, while Vespa.ai is ranked #18 with an average rating of 7.7. Apache holds a 3.9% mindshare in VD, compared to Vespa.ai’s 2.3% mindshare. Additionally, 92% of Apache users are willing to recommend the solution, compared to 100% of Vespa.ai users who would recommend it.

Cassandra

Read 25 Cassandra reviews

4,616 Views
1,985 Comparison Views

92% willing to recommend

Vespa

Read 3 Vespa reviews

1,166 Views
1,038 Comparison Views

100% willing to recommend

Cassandra

Vespa

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Cassandra and Vespa based on real PeerSpot user reviews.

Find out in this report how the two Vector Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Cassandra vs. Vespa Report (Updated: June 2026).

Buyer's Guide

Cassandra vs. Vespa

June 2026

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Helped 909,725 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:

Categories and Ranking

Cassandra

Ranking in Vector Databases

12th

Average Rating

8.0

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

NoSQL Databases (5th)

Vespa

Ranking in Vector Databases

18th

Average Rating

7.6

Reviews Sentiment

5.3

Number of Reviews

Ranking in other categories

Open Source Databases (18th)

Mindshare comparison

As of August 2026, in the Vector Databases category, the mindshare of Cassandra is 3.9%, up from 1.8% compared to the previous year. The mindshare of Vespa is 2.3%, up from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases Mindshare Distribution
Product	Mindshare (%)
Cassandra	3.9%
Vespa	2.3%
Other	93.8%

Vector Databases

Featured Reviews

Monirul Islam Khan

Head, Data Integration & Management at a non-profit with 10,001+ employees

Has maintained secure document storage and efficient data distribution with peer-to-peer architecture

The functions or features in Cassandra that I have found most valuable are that it is a distributed system similar to Mongo. It's good enough for comparison with another SQL database, so it's smooth and organized for distributed database system. The peer-to-peer architecture in Cassandra is helpful for network decentralization, and I have already introduced that feature. Cassandra features in peer-to-peer as well as another monitoring, so basically, it's good enough for our service. The tunable consistency level in Cassandra is good, and we are using that feature already. In terms of built-in caching and lightweight transactions in Cassandra, the transaction level is good, and it's optimized, so there are no more issues in that database. Based on my experience, Cassandra is good for document management system, as well as distributed database system, and the automatic recovery process is there. Additionally, the database monitoring system or auditing system is well-comparable with other database systems, so we are actually happy to be using this Cassandra database.

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Ganaraj Amakrishna

Lead Technical Architect at Zoro UK

Vector search has improved e‑commerce relevance but setup and learning curve still need work

Vespa definitely had its own set of challenges. It was really hard to get into initially, especially when I started implementing it in 2024 along with one junior employee, and the lack of documentation made it difficult. I aimed for an implementation with ColBERT, a sparse embedding mechanism, which I believed would fit well for e-commerce. We went through iterations during A/B testing because the initial set did not work as expected, which extended the process to about one and a half years. Vespa has a considerable learning curve, making it challenging for most people to get into, and it is also expensive, which can deter startups or those with smaller budgets from using it. Community support was decent, and we turned to it for clarifications. However, substantial improvements in documentation are necessary, especially more examples for handling DSL effectively. Having a runtime testing feature would greatly facilitate quick iterations.

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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

"The solution provided us with more than 100K PNRs a second and because the company was international there was a heavy data write, and at the same time a heavy data read."

"If you need availability and consistency, you can go with Cassandra."

"The most valuable features of this solution are its speed and distributed nature."

"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 the NoSQL database, high performance, and zero-copy streaming."

"The most valuable features are the counter features and the NoSQL schema, and it also has good scalability because you can scale Cassandra to any infinite level."

"I am satisfied with the performance; so far it has done fairly well and there haven't been any complaints."

"Some of the valued features of this solution are it has good performance and failover."

More Cassandra pros

"Vespa is very good and it improves our product, and we got more clients."

"While conducting A/B testing, Vespa seemed to be performing slightly better than Elasticsearch, especially in search relevancy within live production systems, and its performance was decent."

"The best feature to me is the LTR feature, the ranking feature to be specific."

Cons

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

"The disc space is lacking. You need to free it up as you are working."

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

"While Cassandra can handle NoSQL, I think there should be more flexibility for whole schema design when data is stored in wide columns. Additionally, I believe that eventual consistency should be enhanced."

"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."

"One of the issues with the solution is that you cannot drop write like you're able to in MongoDB and MySQL, where you can join tables."

"We found some issues with the batch inserts when the data volume is large."

"If you have a requirement of aggregation and joints, Cassandra doesn't support a solution that can give the aggregation."

More Cassandra cons

"The integration is actually a pain."

"We want Vespa to implement some UI features so that we can visualize how our data goes and what embeddings it stores."

"Vespa has a considerable learning curve, making it challenging for most people to get into, and it is also expensive, which can deter startups or those with smaller budgets from using it."

Pricing and Cost Advice

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

"We pay for a license."

"I use the tool's open-source version."

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

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

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

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Comms Service Provider

Construction Company

Performing Arts

Computer Software Company

12%

Comms Service Provider

Energy/Utilities Company

Wholesaler/Distributor

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	2
Large Enterprise	14

No data available

Questions from the Community

What is your experience regarding pricing and costs for Cassandra?

The pricing for Cassandra is a little bit high, so it would be better for our community services if they consider community pricing for any non-profit organization like an NGO or other things. It w...

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What needs improvement with Cassandra?

Regarding areas of improvement for Cassandra, currently, we are not facing significant issues. Some issues arise from our vendors like Apache slowness and distribution or load balancing from HAProx...

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What is your primary use case for Cassandra?

My use case for Cassandra is for a document and other unstructured data management system as well as structured data for ultra-poor member community edition, community members' PII information, so ...

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What is your experience regarding pricing and costs for Vespa?

The setup cost is definitely huge, and pricing is also steep. In terms of licensing, it seems generous for those who do not want to engage with Vespa's hosted services.

See all answers

What needs improvement with Vespa?

See all answers

What is your primary use case for Vespa?

My main use case for Vespa is implementing it as the back-end search engine for an e-commerce site, where we have about six million products, or six million SKUs, that we are selling. I implemented...

See all answers

Comparisons

ClickHouse vs Cassandra

Compared 7% of the time

MongoDB Enterprise Advanced vs Cassandra

Compared 7% of the time

DataStax Enterprise vs Cassandra

Compared 6% of the time

ScyllaDB vs Cassandra

Compared 5% of the time

Cloudera Distribution for Hadoop vs Cassandra

Compared 5% of the time

More Cassandra Competitors

Qdrant vs Vespa

Compared 20% of the time

Milvus vs Vespa

Compared 19% of the time

OpenSearch vs Vespa

Compared 11% of the time

Weaviate Enterprise Cloud vs Vespa

Compared 8% of the time

Redis vs Vespa

Compared 7% of the time

More Vespa Competitors

Product Reports

Buyer's Guide

Cassandra

August 2026

Download Cassandra product report

Buyer's Guide

Vespa

July 2026

Download Vespa product report

Overview

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

Vespa is a versatile product that enhances search functionality and improves the performance of large-scale applications. Users have reported using Vespa for content recommendation, personalization, and real-time analytics.

It handles high volumes of data and delivers fast and accurate search results. Vespa is also valuable for building intelligent applications, powering e-commerce platforms, and enabling efficient data retrieval and processing.

With exceptional performance, efficient fuel consumption, stylish design, comfortable seating, and smooth handling, Vespa is the complete package.

Vespa.ai

Sample Customers

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

1. Yahoo 2. Verizon Media 3. Oath 4. Tumblr 5. AOL 6. Huffington Post 7. TechCrunch 8. Engadget 9. MapQuest 10. Moviefone 11. Autoblog 12. AOL Mail 13. Yahoo Mail 14. Yahoo Finance 15. Yahoo Sports 16. Yahoo News 17. Yahoo Search 18. Yahoo Answers 19. Yahoo Messenger 20. Yahoo Groups 21. Yahoo Weather 22. Yahoo Maps 23. Yahoo Fantasy Sports 24. Yahoo TV 25. Yahoo Movies 26. Yahoo Music 27. Yahoo Style 28. Yahoo Beauty 29. Yahoo Travel 30. Yahoo Autos 31. Yahoo Health 32. Yahoo Tech

Buyer's Guide

Cassandra vs. Vespa

June 2026

Free Report: Cassandra vs. Vespa

Find out what your peers are saying about Cassandra vs. Vespa and other solutions. Updated: June 2026.

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