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: August 2026).

DataStax Enterprise vs. PostgreSQL

August 2026

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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

5.4

DataStax Enterprise accelerates development, reduces deployment time, and ensures 99.9% uptime, enhancing efficiency despite version update challenges.

Sentiment score

6.7

PostgreSQL offers cost savings and rapid ROI with free open-source capabilities, ideal for 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

We realized significant cost savings after migrating to DataStax Enterprise, as the previously slow critical queries now run significantly faster, improving efficiency and performance metrics across the board.

Pdixit Dixit

Solution Architect at a consultancy with 51-200 employees

For more quotes and insights, download the DataStax Enterprise report

No quotes available

For more quotes and insights, download the PostgreSQL report

Customer Service

Sentiment score

7.8

DataStax Enterprise's customer service is praised for its responsive support, swift issue resolution, and excellent escalation process.

Sentiment score

6.7

PostgreSQL support is strong with community forums, detailed documentation, and high-rated resources, offering both free and paid options.

I would rate the customer support a 10 because I always receive the help I need from them.

Pooja Singh

Devops Specialist at a tech vendor with 10,001+ employees

Any requests I have raised receive prompt responses, often within minutes.

Pdixit Dixit

Solution Architect at a consultancy with 51-200 employees

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

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Senior Software Engineer at Deloitte

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.

Data Science Architect at publicis Sapient

For customizations and extensions, the community is very active and useful.

For more quotes and insights, download the PostgreSQL report

Software Engineer – Rust Systems & AI Evaluation at Turing

Scalability Issues

Sentiment score

8.7

DataStax Enterprise offers scalable, multi-region deployment, reducing costs and enhancing efficiency with auto-scaling and improved response times.

Sentiment score

7.4

PostgreSQL is highly scalable, handling large on-premise or cloud deployments effectively, supporting high transactions and growing user demands.

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.

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Senior Software Engineer at Deloitte

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

Shubham-Kumar

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

8.2

DataStax Enterprise offers high stability, reducing downtime by 40%, and effectively handles large-scale data, despite occasional node issues.

Sentiment score

8.0

PostgreSQL is praised for its stability and reliability, outperforming MySQL, with issues mainly from misconfiguration, not intrinsic faults.

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

Shubham-Kumar

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

For more quotes and insights, download the DataStax Enterprise report

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 desire improved backup, faster restoration, user-friendly UI, intuitive monitoring, cost efficiency, automation, and enhanced support.

PostgreSQL users seek improvements in interface, performance, scalability, integration, documentation, and support for large-scale real-time applications.

There should be an alternative for restoring where data can be provided to live traffic so it does not impact customers in the case of a disaster.

Pooja Singh

Devops Specialist at a tech vendor with 10,001+ employees

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

For more quotes and insights, download the DataStax Enterprise report

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.

Shubham-Kumar

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

PostgreSQL remains a strong choice for enterprise applications due to its stability, extensibility, and SQL standards compliance.

Software Engineer – Rust Systems & AI Evaluation at Turing

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 offers cost-effective scalability and flexibility with zero licensing fees, though setup and support may incur additional costs.

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

I was not involved in the licensing for DataStax Enterprise, which is managed by a different team, but I understand it operates on a core-based licensing model, which is standard.

Pdixit Dixit

Solution Architect at a consultancy with 51-200 employees

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.

Data Science Architect at publicis Sapient

The managed PostgreSQL itself is open source with no license fees.

For more quotes and insights, download the PostgreSQL report

Software Engineer – Rust Systems & AI Evaluation at Turing

Valuable Features

DataStax Enterprise excels in scalability, reliability, and management, enhancing productivity and application performance with advanced features and tools.

PostgreSQL excels in spatial support, high availability, JSONB handling, integration, scalability, and community-driven advanced features for diverse applications.

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.

Data Science Architect at publicis Sapient

Its robustness and reliability are incredible and stable, which is crucial for critical data, especially with AI model outputs.

For more quotes and insights, download the PostgreSQL report

Software Engineer – Rust Systems & AI Evaluation at Turing

Categories and Ranking

DataStax Enterprise

Ranking in Vector Databases

15th

Average Rating

8.6

Reviews Sentiment

6.8

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

128

Ranking in other categories

Open Source Databases (1st)

Mindshare comparison

As of September 2026, in the Vector Databases category, the mindshare of DataStax Enterprise is 2.1%, up from 0.7% compared to the previous year. The mindshare of PostgreSQL is 9.1%, up from 5.3% 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	2.1%
Other	88.8%

Vector Databases

Featured Reviews

Pooja Singh

Devops Specialist at a tech vendor with 10,001+ employees

Reliable backup and recovery has protected critical telecom customer data in daily operations

When I was taking the backup with a data volume of 15 to 20 GB, the full backup running for the first time did not provide metrics to understand what percent of progress had been made. We had to read the logs, but we did not see any percentage in those logs. This is an improvement item for DataStax Enterprise to provide metrics, a bar, or a percentage so we can grasp how much data has been backed up or restored. There are no graphs available to make us aware of how long the process will take to complete, which is a drawback I noticed during backup and restore. In addition, I notice a huge time lag during restoration because each node takes a lot of time to be added to the pool and to the cluster node, one by one. The entire time the production is down presents a concerning situation. There should be an alternative for restoring where data can be provided to live traffic so it does not impact customers in the case of a disaster.

Read full review

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.

Read full review

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Construction Company

Manufacturing Company

Outsourcing Company

Financial Services Firm

11%

Comms Service Provider

10%

Outsourcing Company

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Large Enterprise	7

By reviewers
Company Size	Count
Small Business	58
Midsize Enterprise	26
Large Enterprise	49

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 am not directly involved in the licensing or procurement decisions, so I cannot comment in detail on the price. From an engineering perspective, PostgreSQL is cost-efficient because it is open so...

What needs improvement with PostgreSQL?

While improving reliability, I have noticed that the limitations in PostgreSQL can be complex. For large-scale deployments, configuration, performance tuning, and related tasks can be complex and i...

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Product Reports

Download DataStax Enterprise product report

DataStax Enterprise

September 2026

Download PostgreSQL product report

September 2026

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