Cassandra vs PostgreSQL comparison

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Cassandra

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Executive SummaryUpdated on Jun 3, 2026

PostgreSQL and Cassandra both operate in the database management category. While PostgreSQL is suitable for structured data with its comprehensive features, Cassandra has the advantage in handling large-scale data quickly and reliably.

Features: PostgreSQL provides ACID compliance, geospatial support, and robust data types like JSONB, making it a versatile platform for various applications. On the other hand, Cassandra offers high availability and fault tolerance, ideal for distributed systems, and excels in managing large volumes of time-series data with exceptional speed.

Room for Improvement: PostgreSQL could improve its user-friendliness by enhancing installation tools and performance monitoring. It also needs better support for large-scale deployments and advanced analytics. Cassandra could benefit from improved handling of complex queries, particularly those involving JOIN operations, and integrating more user-friendly interfaces could broaden its usability.

Ease of Deployment and Customer Service: PostgreSQL shows flexibility in hybrid, private cloud, and on-premises environments, supported by a robust community and third-party services. Cassandra also offers diverse deployment options, excelling in cloud environments. Both rely on community-driven assistance, but PostgreSQL's tighter integration with hosting platforms gives it a slight edge.

Pricing and ROI: PostgreSQL is a cost-effective solution due to its open-source nature, offering significant savings compared to proprietary databases. Cassandra is available in a free edition, but enterprise-level features may incur additional costs if commercial support is needed through vendors like DataStax, which can be justifiable for large-scale demands.

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

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Cassandra vs. PostgreSQL

April 2026

Helped 900,644 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 (6th)

PostgreSQL

Ranking in Vector Databases

8th

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

127

Ranking in other categories

Open Source Databases (2nd)

Mindshare comparison

As of June 2026, in the Vector Databases category, the mindshare of Cassandra is 3.5%, up from 1.9% compared to the previous year. The mindshare of PostgreSQL is 8.6%, up from 5.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases Mindshare Distribution
Product	Mindshare (%)
PostgreSQL	8.6%
Cassandra	3.5%
Other	87.9%

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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Shobhit Goel

Data Science Architect at publicis Sapient

High-volume transactions have reduced failures and improve customer service efficiency

The best feature is performance, because of which I decided on PostgreSQL. I have also enabled the PG vector plugin on top of PostgreSQL. I have the opportunity to use two different features and two different flavors in a single product, which is the best thing about PostgreSQL. Initially, we had some hiccups around the performance part, but later we did indexing in PostgreSQL and now it is working very well. Even when we are doing 100,000 transactions in a day, PostgreSQL is working excellently. The interface is another best feature. If I need to do any query, I simply install the plugin on my local, which is pgAdmin. Through pgAdmin, I am able to communicate with PostgreSQL and execute all my SQL queries. I am getting a better UI with PostgreSQL as the backend, which is also one of the best options. PG vector is also very strong from PostgreSQL where I have implemented RAG and on a daily basis, I inject thousands of pages of PDF. More than 100 PDFs are coming into my system and one PDF is around 1,000 pages. We are injecting them into PostgreSQL and converting them into dimensions and inserting them into PG vector. The level of transactions we are doing on a daily basis is substantial, and we are getting very good throughput and low latency from PostgreSQL. When we were doing more than 50,000 transactions in a minute with the previous database, we were getting a lot of latency issues with threads getting blocked and abruptly closed unwantedly. After doing extensive research, we decided to move to PostgreSQL. Now, we are doing around 100,000 transactions in PostgreSQL and we are getting good throughput with no latency.

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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

"Can achieve continuous data without a single downtime because of node to node ring architecture."

"Cassandra offers high availability and fault tolerance, making it suitable for large-scale data storage and real-time processing."

"Ability to achieve write speeds 10k tps: Compared to existing, it is 300% percent higher."

"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."

"Based on my experience, Cassandra is good for document management system, as well as distributed database system, and the automatic recovery process is there."

"I am getting much better performance than relational databases."

"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."

"Since I haven't had years of experience with it, it's still new to me. One valuable feature is its distribution, so I can run it partly in the cloud and part on-prem. That's a feature I'd like to use but haven't yet because we're trying to move to Azure. I don't know if or when that will happen. Ideally, we'd have it distributed over the cloud and on-prem simultaneously, so if something happens to our on-prem, we can keep going in the cloud, like a pay-as-you-go model with Azure."

More Cassandra pros

"It is very simple to manage."

"This is a very good product, and I'm very pleased, especially with the latest versions."

"PostgreSQL gives you much more flexibility because it's open source."

"It is easy to use."

"Overall it is an excellent RDBMS and it is easy to use and administer."

"Open source products represent no cost to the organization and the basic features are sufficient to fulfill our needs."

"The most valuable feature is the performance."

"The combination of its open community, open source approach, and its unique features make it the perfect platform for solving today's sophisticated data challenges."

Cons

"The interface could definitely be improved. It's a technical database and for me the features are not user friendly."

"Maybe they can improve their performance in data fetching from a high volume of data sets."

"Row-level locking is not available; might be very helpful in update use cases."

"There were challenges with the query language and the development interface. The query language, in particular, could be improved for better optimization. These challenges were encountered while using the Java SDK."

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

"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."

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

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

More Cassandra cons

"Improved support for parallel query execution Merge Joins Improved Handling of Materialized Views"

"It would be good to have machine learning functionality in this solution, similar to Microsoft SQL Server and other solutions. Machine learning capability for a basic level or a common user would be useful. It can also have good reporting capabilities."

"It could be improved by using parallelization. You want basically, distributed computing."

"JSON support although great, it still has some gotchas, querying and manipulating JSON will be one of the topics I'd like to see some improvement, still feels not natural to work with it."

"It should have a better native client tool to manage the databases."

"A better export facility which is GUI friendly would be an improvement."

"I have faced a few issues while installing it and configuring it; most of them related to incompatibility while using old Ubuntu Linux versions."

"They need to improve the user experience of the management."

Pricing and Cost Advice

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

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

"We pay for a license."

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

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

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

"It is an open-source platform."

"We do not pay for licensing."

"It is open-source. If you use it on-premise, it is free. It also has enterprise or commercial versions. If you go for the cloud version, there will be a cost, but it is lower than Oracle or Microsoft."

"PostgreSQL is a free and open-source database."

"The tool is cheaply priced compared to other RDBMS providers in the market."

"It could be much cheaper. If you would like to build an application on Amazon today, PostgreSQL is the standard database with Redshift. If you want other databases, you can add them, but PostgreSQL is the basis of everything. It's a question of money, that's it."

"We use the open-source version of PostgreSQL and not the enterprise edition."

"This solution can offer a cheaper choice for customers since it is open-source."

Top Industries

By visitors reading reviews

Financial Services Firm

16%

Construction Company

Comms Service Provider

Computer Software Company

Financial Services Firm

12%

Computer Software Company

10%

Comms Service Provider

10%

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

By reviewers
Company Size	Count
Small Business	57
Midsize Enterprise	27
Large Enterprise	48

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...

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...

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 ...

How does Firebird SQL compare with PostgreSQL?

PostgreSQL was designed in a way that provides you with not only a high degree of flexibility but also offers you a cheap and easy-to-use solution. It gives you the ability to redesign and audit yo...

What is your experience regarding pricing and costs for PostgreSQL?

I purchased from the marketplace, so licensing and pricing cost is acceptable. To be honest, there is a separate team who handles the cost of licensing everything. I have admin access on Azure and ...

What needs improvement with PostgreSQL?

The only thing for PG vector is if the dimension limit could be increased. Currently, the dimension limit is around 1,000 to 1,052. If I need to increase the dimension to 3,000 or 5,000, that optio...

MongoDB Enterprise Advanced vs Cassandra

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Product Reports

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Cassandra

June 2026

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June 2026

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

PostgreSQL is a versatile and reliable database management system commonly used for web development, data analysis, and building scalable databases.

It offers advanced features like indexing, replication, and transaction management. Users appreciate its flexibility, performance, and ability to handle large amounts of data efficiently. Its robustness, scalability, and support for complex queries make it highly valuable.

Additionally, PostgreSQL's extensibility, flexibility, community support, and frequent updates contribute to its ongoing improvement and stability.

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. Apple 2. Cisco 3. Fujitsu 4. Instagram 5. Netflix 6. Red Hat 7. Sony 8. Uber 9. Cisco Systems 10. Skype 11. LinkedIn 12. Etsy 13. Yelp 14. Reddit 15. Dropbox 16. Slack 17. Twitch 18. WhatsApp 19. Snapchat 20. Shazam 21. SoundCloud 22. The New York Times 23. Cisco WebEx 24. Atlassian 25. Cisco Meraki 26. Heroku 27. GitLab 28. Zalando 29. OpenTable 30. Trello 31. Square Enix 32. Bloomberg