Google Cloud SQL vs IBM Db2 on Cloud comparison

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5,843 views|5,283 comparisons
100% willing to recommend
IBM Logo
370 views|315 comparisons
100% willing to recommend
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Executive Summary

We performed a comparison between Google Cloud SQL and IBM Db2 on Cloud based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), Microsoft, MongoDB and others in Database as a Service.
To learn more, read our detailed Database as a Service Report (Updated: April 2024).
768,857 professionals have used our research since 2012.
Featured Review
NikolayBachvarov
Anonymous User
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The implementation part of the product was easy.""It supports different databases, like Postgres and MySQL.""The most valuable features are that it's easy to use, simple, and user-friendly.""The valuable feature of Google Cloud SQL is its high availability option. The product is stable.""My suggestion to anyone thinking about this solution is to jump into it head-first!""It's SQL. SQL is so easy if you know something about databases. It's easy to learn.""It is not the cool features that I find valuable, it is the stability of Google Cloud Platform.""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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"The reliability is the most valuable feature. It is also user-friendly."

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Cons
"The customer support should be improved.""The most vulnerable problem with Google SQL is that while you can customize your access control list, it provides you with a public IP address.""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.""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.""I would like to see better availability of the product in different regions. It should also improve the security with encryption.""The monitoring part could be better.""It is hard to do logging with the solution."

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"I would give their support a ten if they had more tutorials available."

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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: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.
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    Ranking
    4th
    Views
    5,843
    Comparisons
    5,283
    Reviews
    10
    Average Words per Review
    422
    Rating
    8.0
    12th
    Views
    370
    Comparisons
    315
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
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    IBM
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    Overview
    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.

    A fully-managed cloud SQL database. Powered by a turbo-charged Db2 engine.

    Sample Customers
    BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync
    Owens-Illinois, KONE Corp., Cambridgeshire Fire and Rescue, Canon Europe, Delhaize America, Wimbledon
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Computer Software Company12%
    Retailer9%
    Comms Service Provider8%
    VISITORS READING REVIEWS
    Manufacturing Company13%
    Financial Services Firm13%
    University12%
    Computer Software Company11%
    Company Size
    REVIEWERS
    Small Business40%
    Midsize Enterprise13%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise12%
    Large Enterprise66%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise17%
    Large Enterprise70%
    Buyer's Guide
    Database as a Service
    April 2024
    Find out what your peers are saying about Amazon Web Services (AWS), Microsoft, MongoDB and others in Database as a Service. Updated: April 2024.
    768,857 professionals have used our research since 2012.

    Google Cloud SQL is ranked 4th in Database as a Service with 16 reviews while IBM Db2 on Cloud is ranked 12th in Database as a Service. Google Cloud SQL is rated 8.4, while IBM Db2 on Cloud is rated 9.0. The top reviewer of Google Cloud SQL writes "An easy-to-use solution with good features and functionality ". On the other hand, the top reviewer of IBM Db2 on Cloud writes "Reliable and user-friendly ". Google Cloud SQL is most compared with Amazon RDS, SQL Azure, MongoDB Atlas, Oracle Database as a Service and Yugabyte Platform, whereas IBM Db2 on Cloud is most compared with SQL Azure and Amazon RDS.

    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.