Redis vs ScyllaDB comparison

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Redis

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Executive SummaryUpdated on Sep 11, 2025

ScyllaDB and Redis compete in the high-performance database space. Redis often has the upper hand because of its extensive feature set and well-established reputation.

Features: ScyllaDB offers high throughput and low latency, making it ideal for IoT and time-series data. Its shard-per-core architecture enhances performance under heavy workloads. Redis is known for powerful in-memory data structures, optimizing performance for real-time analytics and dynamic applications. Redis provides geolocation and JSON search capabilities, enabling efficient data handling for various use cases.

Room for Improvement: ScyllaDB could enhance ease of use to better meet the needs of users without a deep understanding of configurations. Its documentation, while extensive, needs simplification to be more accessible to newcomers. Expanding compatibility with more data sources could broaden ScyllaDB’s appeal. Redis could benefit from improvements in handling complex data structures beyond caching, potentially making it more versatile. Additional native persistence options might strengthen Redis’s reliability in critical applications. Enhancements in cluster management could streamline operations for users requiring high scalability.

Ease of Deployment and Customer Service: ScyllaDB offers straightforward deployment and comprehensive enterprise-level support, which is highly valued. Redis provides versatile deployment options, including managed services for cloud environments, making it flexible for various use cases. ScyllaDB's proactive support is praised, while Redis relies on its strong community, requiring additional resources for specific implementation guidance.

Pricing and ROI: ScyllaDB's initial setup cost is competitive, offering strong ROI for data-intensive applications. Redis might have higher costs due to premium features but offers favorable ROI through operational efficiency in memory-intensive tasks. ScyllaDB is cost-effective for large datasets, while Redis's potential to streamline development and accelerate time-to-market often justifies its pricing.

To learn more, read our detailed Redis vs. ScyllaDB Report (Updated: September 2025).

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Redis vs. ScyllaDB

September 2025

Helped 872,655 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

Redis

Ranking in NoSQL Databases

7th

Average Rating

8.8

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

Managed NoSQL Databases (9th), In-Memory Data Store Services (1st), Vector Databases (4th)

ScyllaDB

Ranking in NoSQL Databases

3rd

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2025, in the NoSQL Databases category, the mindshare of Redis is 8.9%, up from 1.1% compared to the previous year. The mindshare of ScyllaDB is 8.9%, down from 10.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Market Share Distribution
Product	Market Share (%)
ScyllaDB	8.9%
Redis	8.9%
Other	82.2%

NoSQL Databases

Featured Reviews

Yaseer Arafat

.Net Developer at Freelance

Unmatched Performance and Scalability for Modern Applications

Redis has room for improvement in a few areas. Enhanced tools for managing and monitoring clusters would be beneficial, as would built-in security mechanisms like advanced encryption and granular access controls. Simplifying setup and configuration could make Redis more accessible to new users. Introducing more enterprise-grade features, such as better multi-tenancy support and improved backup and restore capabilities, would also be advantageous. For the next release, it would be great to see enhanced cluster management tools, native multi-region supports for better data redundancy, integrated analytics for deeper insights, AI and ML integration features, and improved developer experience through enhanced SDKs and tools.

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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

"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."

"Redis is a simple service that does what it promises."

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

"It makes operations more efficient. The information processing is very fast, and very responsive. It's all about the technology."

"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."

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

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

"I find Redis valuable primarily for its caching capabilities, particularly in handling cache requests effectively. Its simplicity in managing key-value pairs for caching is one of its strengths, making it a preferred choice over more complex databases like MongoDB for specific use cases. However, I haven't explored Redis extensively for managing complex data structures beyond caching, as MongoDB might be more suitable for such scenarios."

More Redis pros

"The performance and scalability are good, and we hardly see any major issues with ScyllaDB."

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

"The product's most valuable features are efficiency and reliability."

"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."

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

"ScyllaDB is very fast, and I can use it for so many things."

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

"The best features of ScyllaDB are how it synchronizes data and its failover system. There's a unique formula to decide the number of nodes you need and the minimum required, which I find helpful. It also offers encryption and supports APIs, making it great for distributed systems and scaling databases across different regions. While it's easy to use, having prior experience helps configure it properly. There are many configurations; if you don't understand them, you might mess up the design. So, understanding your system's needs, like whether it requires more read or write operations, is crucial for setting up the correct configuration."

More ScyllaDB pros

Cons

"It's actually quite expensive."

"There is a lack of documentation on the scalability of the solution."

"I would prefer it if there was more information available about Redis. That would make it easier for new beginners. Currently, there is a lack of resources."

"There are some features from MongoDB that I would like to see included in Redis to enhance its overall efficiency, such as the ability to perform remote behaviour. MongoDB is more efficient in handling updates than deletions and is quicker in processing updates, but it can be slower regarding deletions. This can sometimes pose a challenge, especially when dealing with large datasets or frequent data manipulations that involve deletions. In such cases, I often rewrite columns or update values instead of directly deleting data, as it can be more efficient."

"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."

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

"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."

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

More Redis cons

"The documentation of Scylla is an area with shortcomings and needs to be improved."

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

"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."

"If you don't have the best computing resources, then it's not easy to set up. In such cases, we have to run ScyllaDB in developer mode."

"From a sales pitch standpoint, it needs to deliver on promises of better ROI and compaction."

"ScyllaDB needs to improve its handling of transactions."

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

"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."

More ScyllaDB cons

Pricing and Cost Advice

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

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

"Redis is not an overpriced solution."

"Redis is an open-source product."

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

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

"It's a bit expensive."

"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 is an expensive tool compared to its competitor."

"It's free."

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Top Industries

By visitors reading reviews

Financial Services Firm

25%

Computer Software Company

12%

Educational Organization

Comms Service Provider

Computer Software Company

16%

Financial Services Firm

12%

Comms Service Provider

Hospitality Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	3
Large Enterprise	8

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

Questions from the Community

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...

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...

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...

What is your experience regarding pricing and costs for Scylla?

The enterprise version comes with a cost of about $300,000 per year, however, we did not experience the promised compaction benefits.

What needs improvement with Scylla?

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...

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Product Reports

Download Redis product report

Redis

October 2025

Download ScyllaDB product report

October 2025

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.

RedisLabs

ScyllaDB is an open-source, distributed NoSQL wide-column datastore (a highly scalable NoSQL database), known for its compatibility with Apache Cassandra, and for supporting the same protocols as Cassandra (CQL and Thrift) and the same file formats (SSTable). ScyllaDB is designed for high throughput and low latency, making it suitable for data-intensive applications. Its architecture allows it to deliver remarkable performance on a massive scale, utilizing modern multi-core servers to their fullest potential

ScyllaDB utilizes a similar architecture, data format, and query language as Apache Cassandra, providing compatibility while dramatically improving speed and scalability.

The key advantages of ScyllaDB include its rewritten C++ implementation that eliminates Cassandra's expensive Java garbage collection pauses, built-in caching for fast access to frequently used data, and shard-aware drivers for direct routing of requests. This enables it to fully leverage modern multi-core servers for massive parallelism. The community is active and the latest major release, ScyllaDB Enterprise 2023.1.0 LTS, incorporates over 5,000 code commits focused on enhancing capabilities.

ScyllaDB supports wide-column data modeling for fast read performance at scale. It includes integrated monitoring and management tools to track database health and performance. For organizations looking to boost speed and reduce costs for NoSQL workloads, ScyllaDB offers a drop-in replacement for Cassandra that delivers lower latency, higher throughput, and increased scalability with fewer nodes. Its seamless migration path makes switching from Cassandra seamless, requiring minimal code changes.

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