Redis vs ScyllaDB comparison

Redis and ScyllaDB are both solutions in the NoSQL Databases category. Redis is ranked #3 with an average rating of 8.9, while ScyllaDB is ranked #7 with an average rating of 8.5. Redis holds a 8.3% mindshare in ND, compared to ScyllaDB’s 5.9% mindshare. Additionally, 100% of Redis users are willing to recommend the solution, compared to 91% of ScyllaDB users who would recommend it.

Redis

Read 27 Redis reviews

9,943 Views
2,486 Comparison Views

100% willing to recommend

ScyllaDB

Read 12 ScyllaDB reviews

2,652 Views
2,625 Comparison Views

91% willing to recommend

Redis

ScyllaDB

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 15, 2026

ScyllaDB and Redis are prominent contenders in the high-performance database arena. While ScyllaDB presents a comprehensive suite of features appealing to enterprises in need of robust data handling and speed, Redis's simplicity and efficiency give it an edge for those seeking ease of use and rapid retrieval.

Features: ScyllaDB stands out with its user-defined types, enabling consistent data handling at high speeds even with heavy loads. It facilitates seamless integration with the Cassandra SDK and migrations from DynamoDB. Its capabilities in high availability and partitioning make it ideal for enterprise environments. Redis, renowned for ease of use, excels in fast retrieval speeds and efficient caching. Its in-memory storage minimizes latency and offers powerful real-time performance with strong integration across platforms.

Room for Improvement: ScyllaDB could enhance its user experience with more user-friendly documentation and setup, focusing on reducing Java dependency. Challenges in data handling, particularly deletions, affect performance. Redis's single-threaded architecture creates a single point of failure and lacks GUI applications and schema validation. Its documentation could improve, alongside enhanced security measures and scalability guidance.

Ease of Deployment and Customer Service: ScyllaDB offers various deployment options, including on-premises and hybrid cloud setups. Its customer service is responsive, though critiques include high costs for personalized support and setup complexities. Redis shows flexibility in deployment with public and hybrid cloud options, though it lacks specialized guidance for intricate queries, yet remains attractive for cost-sensitive deployments due to its free nature.

Pricing and ROI: Despite a high price for enterprise features, ScyllaDB is considered a worthwhile investment if it aligns with business returns. The enterprise support, while costly, delivers robust guidance. Redis, open-source and minimizing licensing expenses, incurs some infrastructure costs but is cost-effective for both small-scale and extensive uses, enhancing its economic appeal across various scenarios.

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

Buyer's Guide

Redis vs. ScyllaDB

June 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:

Categories and Ranking

Redis

Ranking in NoSQL Databases

3rd

Average Rating

8.8

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Managed NoSQL Databases (5th), In-Memory Data Store Services (1st), Vector Databases (3rd), AI Software Development (9th)

ScyllaDB

Ranking in NoSQL Databases

7th

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2026, in the NoSQL Databases category, the mindshare of Redis is 8.3%, down from 9.1% compared to the previous year. The mindshare of ScyllaDB is 5.9%, down from 10.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
Redis	8.3%
ScyllaDB	5.9%
Other	85.8%

NoSQL Databases

Featured Reviews

RituRaj

SDE 2 at Virtusa

Caching has improved response times and reduces database load for high-traffic applications

Redis is very reliable, but it could be improved in areas such as monitoring, debugging, and feasibility into memory use. Better built-in tools for observability would help teams manage it more effectively at scale. Managing memory efficiently and troubleshooting issues can sometimes require additional tooling, so these areas can also be improved.One practical challenge I experienced is managing memory efficiently. Since Redis is in-memory, we need to carefully configure eviction policies and monitor usage. Debugging cache-related issues such as stale data or cache invalidation can sometimes be tricky. Additionally, tuning memory usage and eviction policies needs to be planned very carefully.

Read full review

Manikandan Gunasekaran

Director of Engineering at Ola

Reliable data management with great reliability and performance

From a sales pitch standpoint, it needs to deliver on promises of better ROI and compaction. Additionally, ticketing and support systems could be improved due to the time it takes to get answers. There's also an issue with compatibility when attempting to switch back from the enterprise to the community version.

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

"The performance of Redis is very fast."

"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."

"The best thing about Redis is its ability to handle large amounts of data without frequently hitting the database. You can store data in temporary memory, especially for high-volume data."

"It is particularly efficient for cloud-based storage and operations."

"The online interface is very fast and easy to use."

"What I like best about Redis is its fast and easy use. It has interesting algorithms like HyperLogLog and provides useful features. It's also good for implementing scalable rate limiting."

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

"Redis is a simple, powerful, and fast solution."

More Redis pros

"ScyllaDB allows fine-tuning of the table structure. Speed is probably the most critical factor because we perform a lot of heavy data ingestion. One of its core features is its ability to handle high volumes and maintain speed when accessing data. Additionally, high availability and partitioning are built-in features of ScyllaDB."

"Firstly, if I update something, it's most likely to finish within milliseconds."

"I like how fast it is to query data from the ScyllaDB node!"

"Scalability in performance is good."

"ScyllaDB is fast and reliable. It has good performance."

"It is lightweight, and it requires less infrastructure."

"The performance aspects of Scylla are good, as always... A good point about Scylla is that it can be used extensively."

"The database is easy to use, fast, and accessible for applications because the API is straightforward."

More ScyllaDB pros

Cons

"Redis should have an option to operate without Docker on a local PC."

"The development of clusters could improve. Additionally, it would be helpful if it was integrated with Amazon AWS or Google Cloud."

"It's actually quite expensive."

"Sometimes, we use Redis as a cluster, and the clusters can sometimes suffer some issues and bring some downtime to your application."

"The solution's pricing for a local installation is very expensive."

"Managing memory efficiently and troubleshooting issues can sometimes require additional tooling, so these areas can also be improved."

"The first challenge is memory limitations, as Redis is primarily in-memory, making memory usage a key constraint."

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

More Redis cons

"Support and the availability of support need improvement. I would give them a six out of ten."

"ScyllaDB needs to improve its handling of transactions."

"Data export, along with how we can purchase the data periodically, needs to be improved so that the storage is within control. Then, we could optimize it even better."

"The documentation is not well established for new developers."

"We faced several challenges while integrating ScyllaDB into our AWS environment. One common issue was that a security port wasn’t opened on one node, preventingdata synchronization across clusters. We noticed the data wasn’t syncing correctly when we saw different record counts in other regions. After investigating, we found that the port was closed in one AWS region. Once we opened the port, the data synchronization across all nodes resumed as expected."

"The product needs to add more features and improve the response time of the support team."

"It seems we have better options available. So probably don't go for ScyllaDB. The reason is, first, it's very high. It's not as straightforward as, like, Postgres or ClickHouse to set up. It requires a complex setup."

"Some of the regular commands in NoSQL do not work."

More ScyllaDB cons

Pricing and Cost Advice

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

"Redis is an open-source product."

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

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

"Redis is not an overpriced solution."

"The paid version of ScyllaDB is not that expensive. The main advantage of the paid version is direct support from the ScyllaDB team, which can resolve issues faster—typically within a day, compared to two to three days with the free version. The paid version also offers better guidance and support, while the free version has good documentation and is more high-level. I’d rate their support team nine out of ten because of the quick responses from their community."

"It's free."

"It is an expensive tool compared to its competitor."

"I believe that there is a yearly licensing cost and that it's expensive."

"It's a bit expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

23%

Computer Software Company

Comms Service Provider

University

Outsourcing Company

14%

Comms Service Provider

Financial Services Firm

Transportation Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	6
Large Enterprise	10

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	8

Questions from the Community

What needs improvement with Redis?

Making management easier, especially for teams operating large Redis clusters, would be helpful. More advanced built-in observability, performance insights, and automated recommendations would help...

See all answers

What is your primary use case for Redis?

Redis is used primarily as a caching layer to provide a high-performance caching solution that improves application response times and reduces load on backend services and databases. We use it main...

See all answers

What advice do you have for others considering Redis?

There are a couple of things to consider when using Redis. It is a supporting layer, not a main database. Identifying specific use cases where Redis can provide the most value, such as caching, ses...

See all answers

What is your experience regarding pricing and costs for Scylla?

From what I’ve seen (and experienced), ScyllaDB pricing is very dependent on how you deploy it, and that’s where most of the confusion comes from.

See all answers

What needs improvement with Scylla?

See all answers

What is your primary use case for Scylla?

We dump a lot of our data, such as every entry created with respect to when a user rides a scooter, every record gets updated to ScyllaDB. It is used as a single source of truth and it manages mass...

See all answers

Comparisons

Azure Cache for Redis vs Redis

Compared 5% of the time

MongoDB Enterprise Advanced vs Redis

Compared 5% of the time

Hazelcast Platform vs Redis

Compared 5% of the time

Oracle Coherence vs Redis

Compared 5% of the time

ClickHouse vs Redis

Compared 3% of the time

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Compared 13% of the time

MongoDB Enterprise Advanced vs ScyllaDB

Compared 10% of the time

Apache HBase vs ScyllaDB

Compared 8% of the time

Aerospike Database vs ScyllaDB

Compared 7% of the time

DataStax Enterprise vs ScyllaDB

Compared 6% of the time

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Product Reports

Buyer's Guide

Redis

July 2026

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Buyer's Guide

ScyllaDB

July 2026

Download ScyllaDB product report

Also Known As

Redis Enterprise

No data available

Overview

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

ScyllaDB is known for its remarkable speed, efficiency, and reliability. It operates with minimal resources, supports large data volumes, and allows for meticulous fine-tuning. Enhanced by Seastar, it offers a performance edge over Cassandra and prioritizes ease of use with robust data synchronization.

ScyllaDB stands out for its capability in high-volume data handling, making it ideal for distributed systems. It integrates easily with APIs and supports user-defined types, providing flexibility through Cassandra SDK and DynamoDB. High availability, effective partitioning, easy updates, and rapid query responses enhance its appeal for organizations dealing with real-time analytics and time-series data management. However, users have noted the complexity in setup compared to MongoDB or Postgres and have highlighted the need for improvements in areas like data export, deletion processes, and documentation. There are also challenges with transactions, support response, compatibility, and AWS integration, with some requiring custom commands which may affect universality.

What are the key features of ScyllaDB?

Exceptional Speed: Achieves high performance through Seastar technology.
Efficiency: Consumes minimal computing resources while supporting substantial data volumes.
Reliability: Offers robust failover systems and data synchronization capabilities.
Flexible Integration: Supports APIs, user-defined types, Cassandra SDK, and DynamoDB.
High Availability: Ensures continuous access and effective partitioning.

Which benefits and ROI should users look for in reviews?

Cost Efficiency: Maximizes resource utilization with minimal expense.
Performance: Provides fast data querying crucial for real-time analytics.
Scalability: Easily manages large-scale and high-volume data needs.
Security: Ensures safe and secure data storage within distributed systems.

Industries like telecommunications, advertising, mobility services, and security implement ScyllaDB for managing extensive datasets and securing real-time data access. Its scalability and efficiency make it a preferred choice for data transformation services, harmonizing complex data flows with real-time analytics needs.

ScyllaDB

Sample Customers

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

IBM, Investing.com, mParticle, Comcast, GE, Fanatics, Ola, CERN, adgear, Samsung

Buyer's Guide

Redis vs. ScyllaDB

June 2026

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