DataStax Enterprise vs PostgreSQL comparison

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DataStax Enterprise

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Executive SummaryUpdated on Jun 3, 2026

PostgreSQL and DataStax Enterprise are database solutions in the competitive data management category. PostgreSQL, with its cost-effectiveness and ease of use, often has an advantage for simpler, budget-conscious deployments. DataStax Enterprise stands out for businesses needing advanced features and scalability.

Features: PostgreSQL offers robust SQL compliance, diverse extensions, and superior transaction management. It supports JSON and XML, provides strong ACID compliance, and offers extensive data type support including arrays and JSONB. DataStax Enterprise supports multi-model data handling, offers built-in search capabilities, and integrates advanced analytics. It includes a powerful Cassandra engine that ensures high write performance and supports fault tolerance with active-active architectures.

Room for Improvement: PostgreSQL could enhance its support for modern cloud environments and improve its clustering capabilities. It may also benefit from more enterprise-grade support options and expanding its integration with other software. DataStax Enterprise can improve its cost-efficiency and simplify deployment. Enhancements in ease of use for non-SQL users and better integration with more diverse development ecosystems would also be beneficial.

Ease of Deployment and Customer Service: PostgreSQL offers a straightforward deployment process with strong community support and extensive documentation, making it accessible for smaller teams. DataStax Enterprise is more complex to deploy but benefits from professional customer service and enterprise-grade tools, catering to larger enterprise needs.

Pricing and ROI: PostgreSQL's open-source nature offers minimal setup costs and rapid ROI for budget-conscious businesses. DataStax Enterprise requires a higher upfront investment due to licensing fees but delivers significant ROI for large-scale, complex data operations with its specialized features.

To learn more, read our detailed DataStax Enterprise vs. PostgreSQL Report (Updated: June 2026).

DataStax Enterprise vs. PostgreSQL

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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

5.5

DataStax Enterprise accelerated deployment, improved uptime to 99.9%, and enhanced efficiency despite higher infrastructure costs and measurement challenges.

Sentiment score

7.0

PostgreSQL's open-source nature offers cost savings, quick ROI, and improved performance, beneficial for both startups and growing enterprises.

We have seen a return on investment with DataStax Enterprise as we saved a lot of money and time, despite investing more on infrastructure; our ongoing business success with a 99.9% uptime helps us earn more.

AshishSingh3

Senior database engineer at ToTheNew

Earlier it was around 15 months, and we have been able to deploy and scale our application within 10 months.

Arinjay Gangwar

Software Developer at a consultancy with 11-50 employees

If not keeping current with updates, updating from an older major version to a newer major version can be a bit complicated and time-consuming, but DataStax Enterprise support will help us with this.

For more quotes and insights, download the DataStax Enterprise report

Senior Software Engineer at Deloitte

No quotes available

For more quotes and insights, download the PostgreSQL report

Customer Service

Sentiment score

6.9

DataStax Enterprise's support team is praised for responsiveness, strong real-time processing, and high user satisfaction, with room for expanded contact methods.

Sentiment score

6.7

PostgreSQL support is community-driven, with robust third-party services and comprehensive documentation, but lacks centralized official support.

Real-time transaction processing, both reads and writes, is where DataStax Enterprise shines the most.

Senior Software Engineer at Deloitte

I would rate the customer support nine out of 10.

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Senior Engineer at a financial services firm with 10,001+ employees

one of my colleagues contacted them and found it to be pretty efficient

Arinjay Gangwar

Software Developer at a consultancy with 11-50 employees

If PostgreSQL is hosted on cloud services such as Amazon RDS or Google Cloud SQL, the support is handled by the cloud provider, who provides automated backups, monitoring, infrastructure management, and technical support tickets.

AyushVerma

Software Engineer at GSS Academy, Noida

Overall, we have a very small customer service team and a good engineering team with no overburden or bandwidth issues.

For more quotes and insights, download the PostgreSQL report

Data Science Architect at publicis Sapient

Scalability Issues

Sentiment score

8.4

DataStax Enterprise enhances scalability and efficiency with active-active architecture, auto-scaling, and reduced management costs, benefiting global deployments.

Sentiment score

7.5

PostgreSQL effectively manages scalability with high transaction volumes, excelling in cloud environments and benefiting from cost-effective open-source expansion.

Overall, we saw a decrease in operational costs due to better resource usage and less manual work, which made my team more efficient and allowed us to focus on new projects.

Vivek Yadav

DevSecOps Engineer (Software Development Engineer II) at a financial services firm with 1,001-5,000 employees

DataStax Enterprise's scalability is very fast with linear scalability and hence is very scalable.

Senior Software Engineer at Deloitte

The active-active architecture helped us really scale and provide data to both Singapore and Indian users.

For more quotes and insights, download the DataStax Enterprise report

Senior Engineer at a financial services firm with 10,001+ employees

Now, we are doing the same level of transactions in PostgreSQL, around 100,000 transactions, and we are getting good throughput with no latency.

For more quotes and insights, download the PostgreSQL report

Data Science Architect at publicis Sapient

Stability Issues

Sentiment score

9.0

DataStax Enterprise offers stability, reducing downtime by 40%, and efficiently scales from terabytes to petabytes for reliable data management.

Sentiment score

8.0

PostgreSQL is praised for stability and reliability, outperforming MySQL and often preferred over Oracle for dependable performance.

DataStax Enterprise provides enough stability for our organization, and scaling can be done up to terabytes and petabytes.

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Senior Engineer at a financial services firm with 10,001+ employees

After using DataStax Enterprise, our system downtime dropped by approximately 40%, helping us avoid lost revenue.

Vivek Yadav

DevSecOps Engineer (Software Development Engineer II) at a financial services firm with 1,001-5,000 employees

I have never seen any performance issue in PostgreSQL.

For more quotes and insights, download the PostgreSQL report

Data Science Architect at publicis Sapient

Room For Improvement

DataStax Enterprise users seek improved hybrid integration, backward compatibility, customer support, interface usability, cost efficiency, and enhanced automation features.

Users want improved PostgreSQL user-friendliness, query optimization, BI integration, scalability, multi-master replication, and enhanced documentation.

Better compatibility with prior versions in terms of codebases should also be improved.

Senior Software Engineer at Deloitte

For example, it can implement some cost optimization where the license can be expensive, and compared to open-source Cassandra, cost is a concern.

For more quotes and insights, download the DataStax Enterprise report

Senior Engineer at a financial services firm with 10,001+ employees

More built-in monitoring and alerting tools would make it easier to find and fix problems quickly.

Vivek Yadav

DevSecOps Engineer (Software Development Engineer II) at a financial services firm with 1,001-5,000 employees

Query optimization improves slow queries by using proper indexes, avoiding unnecessary joins, and using EXPLAIN ANALYZE to inspect query plans.

AyushVerma

Software Engineer at GSS Academy, Noida

If I need to increase the dimension to 3,000 or 5,000, that option should be available.

For more quotes and insights, download the PostgreSQL report

Data Science Architect at publicis Sapient

Setup Cost

PostgreSQL is a cost-effective, open-source database offering flexibility, scalability, and optional support, ideal for businesses with budget constraints.

For smaller organizations working under a tight budget, it might not be very affordable compared to other alternatives.

For more quotes and insights, download the DataStax Enterprise report

Senior Software Engineer at Deloitte

Even with doing 100,000 transactions right now within PostgreSQL, we are happy with PostgreSQL and not seeing that it is expensive or going out of budget.

For more quotes and insights, download the PostgreSQL report

Data Science Architect at publicis Sapient

Valuable Features

DataStax Enterprise provides scalable, secure, and easy-to-use features with Cassandra integration, enhancing uptime and productivity.

PostgreSQL offers robust geospatial support, extensibility, performance, scalability, and diverse features, making it a highly valued open-source database.

The scaling and speed of data access have benefited my team because the scaling and the speeding of data provide linear scale as well as multi-data centers' real-time replication of data such that we can maintain uptime even with the loss of multiple data centers.

For more quotes and insights, download the DataStax Enterprise report

Senior Software Engineer at Deloitte

I can confirm that the outcomes of using DataStax Enterprise show that our database uptime has increased drastically to around 99.9%.

AshishSingh3

Senior database engineer at ToTheNew

DataStax Enterprise has positively impacted my organization because during research for a NoSQL database, developers are very positive about using DataStax Enterprise because of its really easy setup and the querying to the database is very efficient.

Arinjay Gangwar

Software Developer at a consultancy with 11-50 employees

PostgreSQL improves reliability, performance, and scalability in production. Since it is ACID compliant, it ensures that database transactions are safe and consistent, preventing partial data updates, maintaining data integrity, and allowing multiple users to read or write data simultaneously using MVCC.

AyushVerma

Software Engineer at GSS Academy, Noida

The best feature is performance, because of which I decided on PostgreSQL.

For more quotes and insights, download the PostgreSQL report

Data Science Architect at publicis Sapient

Categories and Ranking

DataStax Enterprise

Ranking in Vector Databases

14th

Average Rating

8.4

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

NoSQL Databases (11th)

PostgreSQL

Ranking in Vector Databases

7th

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

127

Ranking in other categories

Open Source Databases (2nd)

Mindshare comparison

As of July 2026, in the Vector Databases category, the mindshare of DataStax Enterprise is 1.9%, up from 0.6% compared to the previous year. The mindshare of PostgreSQL is 9.1%, up from 5.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases Mindshare Distribution
Product	Mindshare (%)
PostgreSQL	9.1%
DataStax Enterprise	1.9%
Other	89.0%

Vector Databases

Featured Reviews

Continuous data access has ensured high uptime and has supported real-time transactional processing

Senior Software Engineer at Deloitte

The best features DataStax Enterprise offers include scaling, speed of data access, and ease of use for those familiar with traditional SQL. The scaling and speed of data access have benefited my team because the scaling and the speeding of data provide linear scale as well as multi-data centers' real-time replication of data such that we can maintain uptime even with the loss of multiple data centers. It enables us to maintain our uptime, which is very crucial for our clients. DataStax Enterprise has positively impacted my organization by providing the ability to have our services up and running even with a total outage at one of our data centers. There is no need to maintain windows since we can turn off data centers while doing maintenance and then put them back in the rotation and move on. I can share specific outcomes or metrics that show this positive impact, such as improvements in performance of about 60% and a reduction in downtime of about 40 to 45%, which is very great.

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

Data Science Architect at publicis Sapient

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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902,894 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

17%

Construction Company

10%

Manufacturing Company

Media Company

Financial Services Firm

12%

Comms Service Provider

10%

Computer Software Company

10%

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Large Enterprise	6

By reviewers
Company Size	Count
Small Business	58
Midsize Enterprise	26
Large Enterprise	48

Questions from the Community

What is your experience regarding pricing and costs for DataStax Enterprise?

My experience with pricing, setup cost, and licensing is pretty good. I do not find any difficulty in it.

What needs improvement with DataStax Enterprise?

The user interface of DataStax Enterprise can be simpler and easier to use, especially for new users, and I think it should be improved in that area. Additionally, more built-in monitoring and aler...

What is your primary use case for DataStax Enterprise?

My main use cases for DataStax Enterprise are building a scalable and high availability application that needs to handle large amounts of data across multiple locations, and for real-time analytics...

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...

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Product Reports

DataStax Enterprise

Download DataStax Enterprise product report

Download PostgreSQL product report

Overview

DataStax Enterprise offers a high-performance, scalable database solution designed for modern data requirements, supporting a wide array of use cases that demand real-time analytics and robust security.

Focusing on delivering powerful distributed databases, DataStax Enterprise integrates the open-source foundation of Apache Cassandra, delivering enhanced features for enterprises. It supports mission-critical applications at scale, providing real-time query capabilities and fault tolerance. Designed with high availability and operational efficiency, it supports complex data models and simplifies management with advanced tools for monitoring and repair.

What are the standout features of DataStax Enterprise?

Advanced Security: Provides comprehensive data protection with encryption and identity management.
Graph Database Support: Allows complex data relationships to be easily modeled and queried.
Search Integration: Facilitates full-text search capabilities combined with Cassandra's strengths.
Analytics: Offers integrated analytics with Apache Spark for real-time data processing.
Multi-Cloud Support: Ensures easy deployment across different cloud environments without vendor lock-in.

What benefits should reviews highlight?

Scalability: Seamlessly expands to accommodate growing data volumes and user demands.
Performance: Maintains high-speed data processing even at massive scales.
Resilience: Provides high availability to ensure business continuity.
Cost Efficiency: Enables optimization of infrastructure investments with flexible deployments.

In industries such as finance, telecommunications, and retail, DataStax Enterprise is implemented to handle immense data workloads, often leveraging its capabilities for fraud detection, personalized customer experiences, and real-time decision-making. Its deployment in these sectors highlights its adaptability and performance in demanding environments.

IBM

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

ING, Netflix, UBS, eBay, Constant Contact, Aeris, Arise, ClearCapital, Dyn, Engine, Noble Group, Pantheon, Target

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

DataStax Enterprise vs. PostgreSQL