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 in this report how the two Database as a Service (DBaaS) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Google Cloud Spanner vs. Redis Report (Updated: July 2024).

Google Cloud Spanner vs. Redis

July 2024

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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

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

5.7

Number of Reviews

Ranking in other categories

NoSQL Databases (5th), Managed NoSQL Databases (9th), In-Memory Data Store Services (1st), Vector Databases (3rd), AI Software Development (17th)

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 6.4%, up 3.8% compared to last year.
Redis, on the other hand, focuses on In-Memory Data Store Services, holds 23.1% mindshare, up 12.6% since last year.

Database as a Service (DBaaS) Market Share Distribution
Product	Market Share (%)
Google Cloud Spanner	6.4%
Amazon RDS	14.8%
MongoDB Atlas	12.7%
Other	66.1%

Database as a Service (DBaaS)

In-Memory Data Store Services Market Share Distribution
Product	Market Share (%)
Redis	23.1%
Amazon ElastiCache	18.6%
Google Cloud Memorystore	14.5%
Other	43.8%

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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KarimGarchi

Database Admin and Architect at D-EDGE Hospitality Solutions

Performance shines with seamless session caching and minimal configuration

The best features of Redis, from my personal perspective, are the performance, which is very quick, and it's very simple to implement. Since I started using Redis, I feel that the product is saving me some performance tuning time. It's very easy, I have few parameters to tune, and it seems to have performance without a lot of working on the performance, compared to Cassandra, where you have to configure the memory and many other settings. The integration capability of Redis is excellent. Redis is very affordable because it's free.

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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

"Google Cloud Spanner is stable."

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

"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."

"It is a very scalable solution."

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

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

"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."

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

"Redis is good for distributed caching management."

"Redis provides an easy setup and operation process, allowing users to quickly connect and use it without hassle."

"The in-memory data makes it fast."

"The ability to fetch and save data quickly is valuable."

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 cost can be a bit high."

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

"The tool needs to improve horizontal scaling."

"The tool lacks to offer AI features."

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

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

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

"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."

"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 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."

"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."

More Redis cons

Pricing and Cost Advice

"It is expensive."

"The solution is expensive."

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

"Google Cloud Spanner is an expensive solution."

"Redis is an open-source product."

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

"Redis is not an overpriced solution."

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

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

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

13%

Healthcare Company

10%

Media Company

Financial Services Firm

26%

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	3
Large Enterprise	8

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 is your experience regarding pricing and costs for Google Cloud Spanner?

Price-wise, I heard that Google Cloud Spanner is on the higher side. I am not sure if this is a rumor or if it's fake news, but I believe that having BigQuery and GCP together could be a little cos...

What needs improvement with Google Cloud Spanner?

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...

Oracle Database as a Service vs Google Cloud Spanner

Comparisons

Compared 18% of the time

Yugabyte Platform vs Google Cloud Spanner

Compared 15% of the time

MongoDB Atlas vs Google Cloud Spanner

Compared 15% of the time

Amazon RDS vs Google Cloud Spanner

Compared 9% of the time

Yugabyte Cloud vs Google Cloud Spanner

Compared 5% of the time

More Google Cloud Spanner Competitors

Oracle Coherence vs Redis

Compared 8% of the time

Upstash vs Redis

Compared 7% of the time

Red Hat Data Grid vs Redis

Compared 7% of the time

Chroma vs Redis

Compared 6% of the time

Couchbase Enterprise vs Redis

Compared 4% of the time

More Redis Competitors

Product Reports

Database as a Service (DBaaS)

January 2026

Download Google Cloud Spanner product report

Download Redis product report

January 2026

Also Known As

Google Spanner

Redis Enterprise

Overview

Cloud Spanner is the first and only relational database service that is both strongly consistent and horizontally scalable. With Cloud Spanner you enjoy all the traditional benefits of a relational database: ACID transactions, relational schemas (and schema changes without downtime), SQL queries, high performance, and high availability. But unlike any other relational database service, Cloud Spanner scales horizontally, to hundreds or thousands of servers, so it can handle the highest of transactional workloads. With automatic scaling, synchronous data replication, and node redundancy, Cloud Spanner delivers up to 99.999% (five 9s) of availability for your mission critical applications. In fact, Google’s internal Spanner service has been handling millions of queries per second from many Google services for years.

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