Google Cloud Spanner vs Redis comparison

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Google Cloud Spanner

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Executive Summary

We performed a comparison between Google Cloud Spanner and Redis based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), MongoDB and others in Database as a Service (DBaaS).

To learn more, read our detailed Database as a Service (DBaaS) Report (Updated: September 2026).

Database as a Service (DBaaS)

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Helped 914,394 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

Google Cloud Spanner

Average Rating

9.2

Reviews Sentiment

7.8

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (8th)

Redis

Average Rating

8.8

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

NoSQL Databases (3rd), Managed NoSQL Databases (5th), In-Memory Data Store Services (1st), Vector Databases (4th), AI Software Development (9th)

Mindshare comparison

While both are Database Services solutions, they serve different purposes. Google Cloud Spanner is designed for Database as a Service (DBaaS) and holds a mindshare of 7.2%, up 5.1% compared to last year.
Redis, on the other hand, focuses on In-Memory Data Store Services, holds 21.7% mindshare, up 20.6% since last year.

Database as a Service (DBaaS) Mindshare Distribution
Product	Mindshare (%)
Google Cloud Spanner	7.2%
Amazon RDS	12.8%
MongoDB Atlas	10.6%
Other	69.4%

Database as a Service (DBaaS)

In-Memory Data Store Services Mindshare Distribution
Product	Mindshare (%)
Redis	21.7%
Amazon ElastiCache	14.7%
Google Cloud Memorystore	11.4%
Other	52.2%

In-Memory Data Store Services

Featured Reviews

LijomonJose

System Architect at UST Global EspaÃ±a

Offers good performance to users

The tool lacks to offer AI features. In the future, I would like the product to offer AI features to users. Nowadays, we are creating small acronyms for our SQL Server. We put some templates. If I just put your name and stop it, the entire cloud can be explored, but such features are not there in Google Cloud Spanner. As a layman rather than a developer, if I create a tool or a procedure. If I write a procedure and then when you describe a procedure, a dummy procedure will be written for you, and it will be available for you as a template in SQL Server, but such kind features are not there in Google Cloud Spanner.

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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.

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Quotes from Members

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

Pros

"It is a very scalable solution."

"We can scale the solution if we need to."

"The solution is stable and reliable."

"Google Cloud Spanner is stable."

"The most valuable feature of the solution is its scalability. Scalability comes with two options, among which Google Cloud Spanner can scale horizontally, compared to other relational databases that scale vertically."

"The application deployment in the cloud is the best feature of the infrastructure."

"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 has had a positive impact by improving application performance, reducing database load, and making the system more scalable."

"Overall, Redis helps us design more efficient applications by improving performance while allowing our backend services to scale more effectively."

"Since I started using Redis, I feel that the product is saving me some performance tuning time."

"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."

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

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

"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."

More Redis pros

Cons

"Google came up with something called Cloud Spanner Emulator, which fails to work like the real product if I want to develop some code and run a database locally on my machine."

"The tool lacks to offer AI features."

"The tool needs to improve horizontal scaling."

"I want to improve the deployment of cameras and surveillance infrastructure."

"The cost can be a bit high."

"The tool should improve by increasing its size limits and handling dynamic data better. We use the client ID or associate it with a key for static content. The solution will not be easy for a beginner. Unless you understand SQL data, it will be difficult to understand and use Redis. It also needs to be user-friendly."

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

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

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

"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."

"The initial setup of Redis was difficult, with a rating of two or three out of ten."

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

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

More Redis cons

Pricing and Cost Advice

"Price-wise, I heard that Google Cloud Spanner is on the higher side."

"The solution is expensive."

"Google Cloud Spanner is an expensive solution."

"It is expensive."

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

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

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

"Redis is an open-source product."

"Redis is not an overpriced solution."

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Top Industries

By visitors reading reviews

Financial Services Firm

24%

Healthcare Company

Manufacturing Company

Computer Software Company

Financial Services Firm

22%

Computer Software Company

Comms Service Provider

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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

Questions from the Community

What is your primary use case for Google Cloud Spanner?

Google Cloud Spanner has all the features of a traditional relational database, including schemas, SQL queries, ACID transactions, and provides excellent integration and monitoring tools as well as...

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...

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...

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...

Oracle Database as a Service vs Google Cloud Spanner

Comparisons

Compared 16% of the time

Yugabyte Platform vs Google Cloud Spanner

Compared 13% of the time

Amazon RDS vs Google Cloud Spanner

Compared 11% of the time

MongoDB Atlas vs Google Cloud Spanner

Compared 10% of the time

More Google Cloud Spanner Competitors

Azure Cache for Redis vs Redis

Compared 4% of the time

MongoDB Enterprise Advanced vs Redis

Compared 4% of the time

Hazelcast Platform vs Redis

Compared 4% of the time

MongoDB Atlas vs Redis

Compared 4% of the time

Upstash vs Redis

Compared 4% of the time

More Redis Competitors

Product Reports

Database as a Service (DBaaS)

Download Google Cloud Spanner product report

Download Redis product report

Also Known As

Google Spanner

Redis Enterprise

Overview

Google Cloud Spanner is a fully managed, scalable, globally distributed, and strongly consistent database service. It offers traditional relational database semantics alongside non-traditional scale and availability.

Google Cloud Spanner is designed for applications that require high availability, strong consistency, and the ability to scale across regions without sacrificing performance. It supports SQL semantics and guarantees ACID transactions. With seamless horizontal scaling, it enables businesses to automatically expand their databases in response to load demands, maintaining performance and reliability. Built with advanced technology, it provides developers the ability to focus on building applications without worrying about infrastructure complexity.

What are the key features of Google Cloud Spanner?

Global scale: Allows horizontal scaling across regions with ease.
Strong consistency: Ensures all read and write operations are atomic, consistent, isolated, and durable.
SQL support: Provides ANSI SQL support, allowing easy integration with existing applications.
Automatic sharding: Manages data partitioning under the hood for optimal performance.
High availability: Delivers an SLA of 99.999% uptime, crucial for business-critical applications.

What benefits or ROI should users consider?

Reduced operational complexity: Minimizes database management tasks, allowing focus on application development.
Cost efficiency: Optimizes resource usage and minimizes unnecessary provisioning costs.
Scalability: Supports application growth without infrastructure reengineering.
Consistent performance: Maintains high performance under heavy and variable workloads.

Google Cloud Spanner's implementation in the finance sector facilitates real-time transaction processing and fraud detection systems. In retail, it handles large volumes of transactional data, supporting services like inventory management. Healthcare uses it for managing patient data across geographic locations, ensuring data consistency and accessibility.

Google

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.

Sample Customers

Streak, Optiva, Mixpanel

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

Database as a Service (DBaaS)