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Google Cloud SQL vs Google Cloud Spanner comparison

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Buyer's Guide
Database as a Service
July 2022
Find out what your peers are saying about Microsoft, Amazon, Google and others in Database as a Service. Updated: July 2022.
622,645 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"We can scale the solution if we need to."

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"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.""This is a stable solution and offers good performance.""It supports different databases, like Postgres and MySQL.""It's SQL. SQL is so easy if you know something about databases. It's easy to learn."

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Cons
"The cost can be a bit high."

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"In the case of Google, they need to work on a more easy interface for users.""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.""I am yet to explore a lot of features that are present in this solution. However, it would be good if more documentation is available for this solution. This would help us in preparing for the certification exam and understand it better. Currently, we don't have much documentation. We do the labs for 20 or 25 minutes, but we can't capture and download anything.""The monitoring part could be better."

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Pricing and Cost Advice
Information Not Available
  • "From a financial perspective, Google Cloud SQL is on the cheaper side."
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    Questions from the Community
    Top Answer:We can scale the solution if we need to.
    Top Answer:There's no license required, as it is a managed service. The solution is expensive.
    Top Answer:We haven't had problems with the product at all. The cost can be a bit high.
    Top Answer: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.
    Top Answer:I am yet to explore a lot of features that are present in this solution. However, it would be good if more documentation is available for this solution. This would help us in preparing for the… more »
    Top Answer:I am using it for database purposes. I am learning it to prepare for my certification. I have done a few big uploads, which I have removed later on.
    Ranking
    7th
    Views
    1,513
    Comparisons
    1,318
    Reviews
    1
    Average Words per Review
    381
    Rating
    8.0
    3rd
    Views
    4,772
    Comparisons
    4,047
    Reviews
    4
    Average Words per Review
    411
    Rating
    8.5
    Comparisons
    Also Known As
    Google Spanner
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    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.
    Offer
    Learn more about Google Cloud Spanner
    Learn more about Google Cloud SQL
    Sample Customers
    Streak, Optiva, Mixpanel
    BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company29%
    Comms Service Provider22%
    Financial Services Firm12%
    Retailer5%
    VISITORS READING REVIEWS
    Comms Service Provider23%
    Computer Software Company22%
    Financial Services Firm10%
    Retailer5%
    Company Size
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise15%
    Large Enterprise68%
    REVIEWERS
    Small Business44%
    Midsize Enterprise11%
    Large Enterprise44%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise15%
    Large Enterprise65%
    Buyer's Guide
    Database as a Service
    July 2022
    Find out what your peers are saying about Microsoft, Amazon, Google and others in Database as a Service. Updated: July 2022.
    622,645 professionals have used our research since 2012.

    Google Cloud Spanner is ranked 7th in Database as a Service with 1 review while Google Cloud SQL is ranked 3rd in Database as a Service with 4 reviews. Google Cloud Spanner is rated 8.0, while Google Cloud SQL is rated 8.6. The top reviewer of Google Cloud Spanner writes "A managed service that spans well and is reliable". On the other hand, the top reviewer of Google Cloud SQL writes "Fast with easy backup capabilities and a low learning curve". Google Cloud Spanner is most compared with Amazon RDS, SQL Azure, Oracle Database as a Service, Oracle Exadata Cloud at Customer and IBM Db2 on Cloud, whereas Google Cloud SQL is most compared with SQL Azure, Amazon RDS, Oracle Database as a Service, MongoDB Atlas and IBM Db2 on Cloud.

    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.