Google Cloud Spanner vs Redis comparison

The compared Google and RedisLabs solutions aren't in the same category. Google is ranked #8 in DS , with an average rating of 9.3, and holds a 3.9% mindshare in the category. RedisLabs is ranked #1 in IMDS , with an average rating of 8.8, and holds a 10.6% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 100% of RedisLabs users who would recommend it.

Google Cloud Spanner

Read 5 Google Cloud Spanner reviews

1,044 Views
784 Comparison Views

100% willing to recommend

Redis

Read 19 Redis reviews

1,366 Views
1,214 Comparison Views

100% willing to recommend

Google Cloud Spanner

Redis

Comparison Buyer's Guide

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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).

Buyer's Guide

Google Cloud Spanner vs. Redis

July 2024

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Categories and Ranking

Google Cloud Spanner

Average Rating

9.0

Reviews Sentiment

7.8

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (8th)

Redis

Average Rating

8.8

Number of Reviews

Ranking in other categories

NoSQL Databases (8th), In-Memory Data Store Services (1st), Vector Databases (4th)

Mindshare comparison

Google Cloud Spanner and Redis aren’t in the same category and serve different purposes. Google Cloud Spanner is designed for Database as a Service (DBaaS) and holds a mindshare of 3.9%, down 3.9% compared to last year.
Redis, on the other hand, focuses on In-Memory Data Store Services, holds 10.6% mindshare, down 15.8% since last year.

Database as a Service (DBaaS)

In-Memory Data Store Services

Featured Reviews

Ethan Lo

Infrastructuer Security at Premise Data

A stable and scalable relational database that ensures a return on investment for its users

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. You can change Google Cloud Spanner's resource configuration, which is done through processing units. Suppose you set up Google Cloud Spanner initially with a hundred processing units, and then you run out of resources since your database used too much CPU. In the aforementioned scenario, you can scale up or down and face no downtime in the production phase. The solution's features are important when running a company twenty-four hours, seven days a week.

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Chethan Rao S

Software Engineer at Medflix

Performs much better than traditional databases, integrates well and lot of learning resources available

It improved the performance. For example, data structures like hashmaps in Redis make it a very fast database – much faster than traditional SQL databases. It can perform at significantly higher speeds. Latencies are very low. Our primary focus wasn't on saving money but on improving performance for that specific feature. So, performance has been the key improvement. Every calculation happened in real time. It improved the performance 10X. In our company, we have limited resources, so we can't manage the database ourselves. We use services from Azure for that. So, Redis integrates well with those services. We use Azure Cache for Redis.

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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

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

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

"It is a very scalable solution."

"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."

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

"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."

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

"The in-memory data makes it fast."

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

"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 product offers fast access to my database."

"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

Cons

"The tool lacks to offer AI features."

"The tool needs to improve horizontal scaling."

"The cost can be a bit high."

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

"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."

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

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

"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."

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

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

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

"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."

More Redis cons

Pricing and Cost Advice

"It is expensive."

"The solution is expensive."

"Google Cloud Spanner is an expensive solution."

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

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

"Redis is not an overpriced solution."

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

"Redis is an open-source product."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

14%

Retailer

11%

Government

Financial Services Firm

20%

Computer Software Company

16%

Educational Organization

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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...

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What do you like most about Google Cloud Spanner?

Google Cloud Spanner is stable.

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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...

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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...

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What needs improvement with Redis?

Redis could improve its efficiency in handling locally stored data, not just Amazon Cloud or Google Cloud. It would be helpful if Redis could provide a one-stop solution for all data varieties, whi...

See all answers

What is your primary use case for Redis?

I used Redis for a one-time implementation while working on a college project. I implemented it locally on a machine and used it for a vector search.

See all answers

Comparisons

Amazon RDS vs Google Cloud Spanner

Compared 28% of the time

MongoDB Atlas vs Google Cloud Spanner

Compared 14% of the time

Oracle Exadata Cloud at Customer vs Google Cloud Spanner

Compared 12% of the time

Google Cloud SQL vs Google Cloud Spanner

Compared 11% of the time

Microsoft Azure SQL Database vs Google Cloud Spanner

Compared 7% of the time

More Google Cloud Spanner Competitors

Amazon SQS vs Redis

Compared 16% of the time

Chroma vs Redis

Compared 13% of the time

OpenSearch vs Redis

Compared 8% of the time

Faiss vs Redis

Compared 7% of the time

Oracle Coherence vs Redis

Compared 6% of the time

More Redis Competitors

Product Reports

Buyer's Guide

Database as a Service (DBaaS)

November 2024

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Buyer's Guide

Oracle Coherence vs. Redis

October 2024

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Also Known As

Google Spanner

Redis Enterprise

Learn More

Google

RedisLabs

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.

Redis is a high-performance, scalable, and easy-to-use caching solution that improves application performance. It is also used for session management, real-time analytics, and as a message broker.

Redis's valuable features include its ability to handle large amounts of data quickly, its simplicity and straightforward setup process, and its support for various data structures, providing flexibility for different use cases.

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

Buyer's Guide

Google Cloud Spanner vs. Redis

July 2024

Free Report: Google Cloud Spanner vs. Redis

Find out what your peers are saying about Google Cloud Spanner vs. Redis and other solutions. Updated: July 2024.

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See our Google Cloud Spanner vs. Redis report.

We monitor all Database as a Service (DBaaS) 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.