Google Cloud SQL vs Google Cloud Spanner comparison

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1,546 views|1,207 comparisons
100% willing to recommend
Google Logo
5,702 views|5,175 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

Find out in this report how the two Database as a Service solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Google Cloud SQL vs. Google Cloud Spanner Report (Updated: May 2024).
769,976 professionals have used our research since 2012.
Featured Review
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.""The application deployment in the cloud is the best feature of the infrastructure."

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"Its most valuable feature is that it's scalable. I can start off with a base of a lot of data and move as much as I want and it's the same as if asked to do a lot of infrastructure changes.""It is not the cool features that I find valuable, it is the stability of Google Cloud Platform.""The initial setup is straightforward.""It's SQL. SQL is so easy if you know something about databases. It's easy to learn.""The setup was straightforward. Just a couple of clicks, and we were done.""I found its storage and security to be the most valuable. It was a good experience. It is also very stable and scalable, and its support is perfect.""The valuable feature of Google Cloud SQL is its high availability option. The product is stable.""What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."

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Cons
"I want to improve the deployment of cameras and surveillance infrastructure.""The tool needs to improve horizontal scaling.""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."

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"Google's technical support is good, but they tend to never reopen a case and to send us snippets from the publicly available documentation. It's not as helpful as you would expect, not just for Google Cloud SQL but for all of Google Cloud products.""The most challenging part is dealing with legacy data from your old systems and migrating it into the new setup, but once you've completed the data migration, it becomes quite convenient to use.""In the case of Google, they need to work on a more easy interface for users.""It is hard to do logging with the solution.""The only thing that could be better is the pricing.""The monitoring part could be better.""To create a seamless data integration, the title integration of these databases with the data integration platforms is essential. This is what we would like to have in a future release.""For data analysis, the AI area of the product has certain shortcomings where improvements are required."

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Pricing and Cost Advice
  • "It is expensive."
  • "Google Cloud Spanner is an expensive solution."
  • "The solution is expensive."
  • More Google Cloud Spanner Pricing and Cost Advice →

  • "The pricing is very much an important factor as to why we use this solution."
  • "It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."
  • "From a financial perspective, Google Cloud SQL is on the cheaper side."
  • "You need to pay extra costs for backup and replication."
  • "The solution is affordable."
  • "It is not expensive, especially considering the significant reduction in database management time."
  • More Google Cloud SQL Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: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… more »
    Top Answer:The implementation part of the product was easy.
    Top Answer:It is not expensive, especially considering the significant reduction in database management time.
    Top Answer:The most challenging part is dealing with legacy data from your old systems and migrating it into the new setup, but once you've completed the data migration, it becomes quite convenient to use.
    Ranking
    8th
    Views
    1,546
    Comparisons
    1,207
    Reviews
    4
    Average Words per Review
    384
    Rating
    9.0
    5th
    Views
    5,702
    Comparisons
    5,175
    Reviews
    9
    Average Words per Review
    414
    Rating
    8.0
    Comparisons
    Also Known As
    Google Spanner
    Learn More
    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 Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational PostgreSQL and MySQL databases in the cloud. Google Cloud SQL offers high performance, scalability, and convenience. Hosted on Google Cloud Platform, Cloud SQL provides a database infrastructure for applications running anywhere.
    Sample Customers
    Streak, Optiva, Mixpanel
    BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company15%
    Retailer12%
    Manufacturing Company7%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Computer Software Company11%
    Retailer9%
    Comms Service Provider8%
    Company Size
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise11%
    Large Enterprise71%
    REVIEWERS
    Small Business40%
    Midsize Enterprise13%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise13%
    Large Enterprise66%
    Buyer's Guide
    Google Cloud SQL vs. Google Cloud Spanner
    May 2024
    Find out what your peers are saying about Google Cloud SQL vs. Google Cloud Spanner and other solutions. Updated: May 2024.
    769,976 professionals have used our research since 2012.

    Google Cloud Spanner is ranked 8th in Database as a Service with 4 reviews while Google Cloud SQL is ranked 5th in Database as a Service with 16 reviews. Google Cloud Spanner is rated 9.0, while Google Cloud SQL is rated 8.4. The top reviewer of Google Cloud Spanner writes "A stable and scalable relational database that ensures a return on investment for its users". On the other hand, the top reviewer of Google Cloud SQL writes "An easy-to-use solution with good features and functionality ". Google Cloud Spanner is most compared with Amazon RDS, MongoDB Atlas, Oracle Database as a Service, Oracle Exadata Cloud at Customer and SQL Azure, whereas Google Cloud SQL is most compared with Amazon RDS, SQL Azure, MongoDB Atlas, Oracle Database as a Service and Oracle Exadata Cloud at Customer. See our Google Cloud SQL vs. Google Cloud Spanner report.

    See our list of best Database as a Service vendors.

    We monitor all Database as a Service 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.