DataStax Enterprise vs Redis comparison

IBM and Redis are both solutions in the NoSQL Databases category. IBM is ranked #14 with an average rating of 8.0, while Redis is ranked #5 with an average rating of 8.8. IBM holds a 2.6% mindshare in ND, compared to Redis’s 9.1% mindshare. Additionally, 100% of IBM users are willing to recommend the solution, compared to 100% of Redis users who would recommend it.

DataStax Enterprise

Read 2 DataStax Enterprise reviews

711 Views
356 Comparison Views

100% willing to recommend

Redis

Read 24 Redis reviews

5,621 Views
1,180 Comparison Views

100% willing to recommend

DataStax Enterprise

Redis

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Mar 15, 2026

DataStax Enterprise and Redis are competitors in the data management space, each with unique strengths. While DataStax Enterprise provides enhanced security and scalability, Redis is often favored for rapid data access due to its performance efficiency.

Features: DataStax Enterprise includes scalability, high availability, and advanced analytics. It aids complex data environments with enterprise-grade capabilities. Redis offers speed and performance through in-memory data storage, simplicity, and real-time processing abilities.

Ease of Deployment and Customer Service: DataStax Enterprise features comprehensive deployment options and strong support but may require complex management. Redis emphasizes straightforward deployment, speed, and ease-of-use, which benefits quick implementations over extensive support requirements.

Pricing and ROI: DataStax Enterprise has higher upfront costs due to its feature set, providing a good ROI for intricate data solutions. Redis offers a more cost-effective and faster ROI with lower resource needs, making it suitable for simpler applications with economic considerations.

To learn more, read our detailed NoSQL Databases Report (Updated: March 2026).

Buyer's Guide

NoSQL Databases

March 2026

Download the complete report

Helped 885,311 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

DataStax Enterprise

Ranking in NoSQL Databases

14th

Ranking in Vector Databases

15th

Average Rating

9.0

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Redis

Ranking in NoSQL Databases

5th

Ranking in Vector Databases

3rd

Average Rating

8.8

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

Managed NoSQL Databases (7th), In-Memory Data Store Services (1st), AI Software Development (10th)

Mindshare comparison

As of March 2026, in the NoSQL Databases category, the mindshare of DataStax Enterprise is 2.6%, up from 0.8% compared to the previous year. The mindshare of Redis is 9.1%, up from 4.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
Redis	9.1%
DataStax Enterprise	2.6%
Other	88.3%

NoSQL Databases

Featured Reviews

Suzanne Kimono

Senior Software Engineer at Deloitte

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

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.

Read full review

reviewer2811600

SDE 1 at a educational organization with 501-1,000 employees

Caching and session design has improved performance and now supports high-traffic workloads

Overall, Redis is a powerful and reliable tool, but there are a few areas for improvement. One limitation is that Redis is memory-based, so scaling can become expensive compared to disk-based systems. While it offers persistence options, it is not always ideal for large datasets where cost efficiency is critical. Another area is cache consistency; Redis itself does not enforce consistency with the primary database, so developers need to carefully design cache invalidation strategies. More built-in mechanisms or patterns to simplify this would be helpful. Additional areas where Redis could improve include monitoring, security, and ease of use in large-scale ecosystems. From a monitoring perspective, while Redis provides basic metrics, deep visibility into issues such as memory fragmentation, hot keys, or latency spikes often requires external tools; more built-in, user-friendly options would make diagnosing production issues quicker. Regarding security, Redis has improved over time, but historically, it required careful configurations; features such as authentication and encryption exist but are not always enabled by default, posing a risk if not properly set up. A strong, secure by default configuration would be beneficial. In terms of ease of use, while Redis is straightforward for basic use cases, managing clusters and persistence strategies can become complex at scale, so better abstractions or tooling for distributed setups and operations would make it more developer-friendly.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"DataStax Enterprise has positively impacted my organization as we are now an e-commerce website that has never faced downtime, which helps our business to boom and significantly enhances our customer experience."

"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."

"I use Redis mostly to cache repeated data that is required."

"Redis acts as an in-memory search tool that improves the speed of operations."

"The most valuable features of Redis are its ease of use and speed. It does not have access to the disc and it is fast."

"The product offers fast access to my database."

"Redis acts as an in-memory search tool that improves the speed of operations, allowing for quicker data retrieval and enhancing the performance of applications."

"Redis is better tested and is used by large companies. I haven't found a direct alternative to what Redis offers. Plus, there are a lot of support and learning resources available, which help you use Redis efficiently."

"The in-memory data makes it fast."

"The solution's technical support team is good...The solution's initial setup process was straightforward."

More Redis pros

Cons

"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."

"I believe that DataStax Enterprise could be improved by working more on making the OpsCenter user interface more user-friendly, particularly regarding the fonts and overall UI."

"In future releases, I would like Redis to provide its users with an option like schema validation. Currently, the solution lacks to offer such functionality."

"Redis could improve its efficiency in handling locally stored data, not just Amazon Cloud or Google Cloud."

"Redis could be improved by introducing a GUI to display key-value pair database information, as it is currently a CLI tool with no visual representation."

"The only thing is the lack of a GUI application. There was a time when we needed to resolve an issue in production. If we had a GUI, it would have been easier."

"There is room for AWS to provide more options for server types or a way to configure more or less memory for them."

"Redis presents a single point of failure and lacks fault tolerance."

"If we use a lot of data, it will eventually cost us a lot."

"One limitation is that Redis is memory-based, so scaling can become expensive compared to disk-based systems."

More Redis cons

Pricing and Cost Advice

Information not available

"The tool is open-source. There are no additional costs."

"Redis is an open-source product."

"Redis is not an overpriced solution."

"We saw an ROI. It made the processing of our transactions faster."

"Redis is an open-source solution. There are not any hidden fees."

See which vendors are best for you

Use our free recommendation engine to learn which NoSQL Databases solutions are best for your needs.

See recommendations

885,311 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

11%

Manufacturing Company

11%

Retailer

11%

Energy/Utilities Company

10%

Financial Services Firm

24%

Computer Software Company

10%

Comms Service Provider

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	4
Large Enterprise	9

Questions from the Community

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

My experience with pricing, setup cost, and licensing indicates that the cost is a bit affordable, especially for my organization. However, for smaller organizations working under a tight budget, i...

See all answers

What needs improvement with DataStax Enterprise?

I think DataStax Enterprise can be improved by having a hybrid on-prem and cloud solution with Astra. Better compatibility with prior versions in terms of codebases should also be improved. More wa...

See all answers

What is your primary use case for DataStax Enterprise?

DataStax Enterprise serves as the primary database for all transactional processing in my organization. DataStax Enterprise provides linear scale as well as multi-data center real-time replication ...

See all answers

What do you like most about Redis?

Redis is better tested and is used by large companies. I haven't found a direct alternative to what Redis offers. Plus, there are a lot of support and learning resources available, which help you u...

See all answers

What needs improvement with Redis?

The disadvantage of Redis is that it's a little bit hard to have too many clusters or too many nodes and create the clusters. The sync between the nodes is easier to implement with Couchbase, for e...

See all answers

What is your primary use case for Redis?

Redis is used for a part of a booking engine for travel, specifically for the front part to get some sessions and information about the sessions. If a customer or user is using the sites in differe...

See all answers

Comparisons

Pinecone vs DataStax Enterprise

Compared 12% of the time

ClickHouse vs DataStax Enterprise

Compared 11% of the time

Neo4j Graph Database vs DataStax Enterprise

Compared 10% of the time

ScyllaDB vs DataStax Enterprise

Compared 10% of the time

Cassandra vs DataStax Enterprise

Compared 10% of the time

More DataStax Enterprise Competitors

Oracle Coherence vs Redis

Compared 7% of the time

Upstash vs Redis

Compared 6% of the time

Red Hat Data Grid vs Redis

Compared 6% of the time

Hazelcast Platform vs Redis

Compared 6% of the time

Azure Cache for Redis vs Redis

Compared 5% of the time

More Redis Competitors

Product Reports

Buyer's Guide

NoSQL Databases

March 2026

Download DataStax Enterprise product report

Buyer's Guide

Redis

March 2026

Download Redis product report

Also Known As

No data available

Redis Enterprise

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

Redis offers high-speed, in-memory storage, renowned for real-time performance. It supports quick data retrieval and is used commonly in applications like analytics and gaming.

Renowned for real-time performance, Redis delivers high-speed in-memory storage, making it a favorite for applications needing quick data retrieval. Its diverse data structures and caching capabilities support a broad array of use cases, including analytics and gaming. Redis ensures robust scalability with master-slave replication and clustering, while its publish/subscribe pattern renders it reliable for event-driven applications. The solution integrates smoothly with existing systems, minimizing performance tuning needs. Although documentation on scalability and security could be improved, Redis remains cost-effective and stable, commonly utilized in cloud environments. Enhancing integration with cloud services like AWS and Google Cloud and refining GUI may improve usability.

What are the key features of Redis?

High Speed: In-memory data storage for swift access.
Scalability: Master-slave replication and clustering for growth.
Data Structures: Supports diverse types for varied uses.
Persistence: RDB snapshots and AOF logs ensure durability.
Integration: Seamless integration reduces tuning efforts.

What should users look for in Redis reviews?

Performance: Real-time data retrieval boosts efficiency.
Cost-Effectiveness: Stable, budget-friendly implementation.
Versatility: Suitable for diverse environments and platforms.
Reliability: Ensures data persistence and high availability.

Redis finds application across industries for tasks like caching to improve application performance and speed, minimizing database load. It enables real-time processing for session storage, push notifications, and analytics. As a messaging platform, Redis handles high traffic and supports replication and clustering for cross-platform scalability.

Redis

Sample Customers

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

1. Twitter 2. GitHub 3. StackOverflow 4. Pinterest 5. Snapchat 6. Craigslist 7. Digg 8. Weibo 9. Airbnb 10. Uber 11. Slack 12. Trello 13. Shopify 14. Coursera 15. Medium 16. Twitch 17. Foursquare 18. Meetup 19. Kickstarter 20. Docker 21. Heroku 22. Bitbucket 23. Groupon 24. Flipboard 25. SoundCloud 26. BuzzFeed 27. Disqus 28. The New York Times 29. Walmart 30. Nike 31. Sony 32. Philips

Find out what your peers are saying about MongoDB, Microsoft, Couchbase and others in NoSQL Databases. Updated: March 2026.

DOWNLOAD NOW

885,311 professionals have used our research since 2012.

See our list of best NoSQL Databases vendors and best Vector Databases vendors.

We monitor all NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.