TrustRadius: an HG Insights company

Save this comparison

Save this comparison

Add Product

Recommended Comparisons

    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google Cloud Spanner

    Score5.6 out of 10
    N/AGoogle Cloud Spanner is a cloud database-as-a-service product offered as a service on Google Cloud Platform (GCP).N/A

    MySQL

    Score8.4 out of 10
    N/AMySQL is a popular open-source relational and embedded database, now owned by Oracle.N/A
    Pricing
    Google Cloud SpannerMySQL
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Google Cloud SpannerMySQL
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details
    More Pricing Information
    Community Pulse
    Google Cloud SpannerMySQL
    Considered Both Products
    Google
    Chose Google Cloud Spanner
    Spanner scales quickly compared to Amazon RDS. Azure Database is about the same as well. MongoDB can scale to horizontal scalability, however, because Mongo doesn't support full ACID, Spanner comes into that aspect. GCP Cloud SQL not as scalable as Spanner. Spanner has …
    Incentivized
    Oracle
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    94%
    Would buy again
    49 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    51 Answers
    Happy with the feature set
    No answers on this topic
    98%
    Happy with the feature set
    51 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    97%
    Lived up to sales and marketing promises
    36 Answers
    Implementation went as expected
    No answers on this topic
    100%
    Implementation went as expected
    46 Answers
    Features
    Google Cloud SpannerMySQL
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google Cloud Spanner and MySQL
    Feature
    Google Cloud Spanner
    7.8
    2 Ratings
    8% below category average
    MySQL
    -
    Ratings
    Automatic software patching8.82 Ratings00 Ratings
    Database scalability8.82 Ratings00 Ratings
    Automated backups10.01 Ratings00 Ratings
    Database security provisions5.82 Ratings00 Ratings
    Monitoring and metrics5.82 Ratings00 Ratings
    Automatic host deployment7.62 Ratings00 Ratings
    Best Alternatives
    Google Cloud SpannerMySQL
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    MariaDB Platform
    Score9.1 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    PostgreSQL
    Score8.8 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    SQLite
    Score8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google Cloud SpannerMySQL
    Likelihood to Recommend
    7.4
    (2 ratings)
    8.5
    (146 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.0
    (5 ratings)
    Usability
    -
    (0 ratings)
    7.9
    (18 ratings)
    Support Rating
    -
    (0 ratings)
    9.0
    (3 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.0
    (1 ratings)
    User Testimonials
    Google Cloud SpannerMySQL
    Likelihood to Recommend
    Google
    Google Cloud Spanner is suited for limitless horizontal scaling while maintaining strong consistency which needs to support ACID. NoSQL databases work in scaling but no ACID support. RDBMS support ACID, but horizontal scaling is not as great. The API it provides result in some limitations to related areas of the code, such as connection pools or database linking framework. So high # of connection pools can vary.
    Incentivized
    Read full review
    Oracle
    MySQL is best suited for applications on platform like high-traffic content-driven websites, small-scale web apps, data warehouses which regards light analytical workloads. However its less suited for areas like enterprise data warehouse, OLAP cubes, large-scale reporting, applications requiring flexible or semi-structured data like event logging systems, product configurations, dynamic forms.
    Incentivized
    Read full review
    Pros
    Google
    • Super high availability
    • Scales automatically
    • High standard SLA
    Incentivized
    Read full review
    Oracle
    • Stable - it just runs, with minimal downtime or errors
    • Fast - well-structured data is quickly written and read
    • Secure - MySQL is easy to keep data secure from people and applications that shouldn't see it
    • Easy to use - SQL is industry standard so no problems with adding, editing and reading data stored in MySQL
    Incentivized
    Read full review
    Cons
    Google
    • Support for Views
    • Support for more databases (schemas).
    • More index types that can be supported (Functional)
    • Backups (ie table/data backup) if data is deleted or truncate by accident.
    Incentivized
    Read full review
    Oracle
    • Learning curve: is big. Newbies will face problems in understanding the platform initially. However, with plenty of online resources, one can easily find solutions to problems and learn on the go.
    • Backup and restore: MySQL is not very seamless. Although the data is never ruptured or missed, the process involved is not very much user-friendly. Maybe, a new command-line interface for only the backup-restore functionality shall be set up again to make this very important step much easier to perform and maintain.
    Incentivized
    Read full review
    Likelihood to Renew
    Google
    No answers on this topic
    Oracle
    For teaching Databases and SQL, I would definitely continue to use MySQL. It provides a good, solid foundation to learn about databases. Also to learn about the SQL language and how it works with the creation, insertion, deletion, updating, and manipulation of data, tables, and databases. This SQL language is a foundation and can be used to learn many other database related concepts.
    Incentivized
    Read full review
    Usability
    Google
    No answers on this topic
    Oracle
    I give MySQL a 9/10 overall because I really like it but I feel like there are a lot of tech people who would hate it if I gave it a 10/10. I've never had any problems with it or reached any of its limitations but I know a few people who have so I can't give it a 10/10 based on those complaints.
    Read full review
    Support Rating
    Google
    No answers on this topic
    Oracle
    We have never contacted MySQL enterprise support team for any issues related to MySQL. This is because we have been using primarily the MySQL Server community edition and have been using the MySQL support forums for any questions and practical guidance that we needed before and during the technical implementations. Overall, the support community has been very helpful and allowed us to make the most out of the community edition.
    Incentivized
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    Oracle
    1. Estimate your data size. 2. Test, test, and test.
    Incentivized
    Read full review
    Alternatives Considered
    Google
    At that point, we were looking at something [that] can hold our relational database, [...] provide stable connection, and maintain high ACID transition. BigTable is for nonrelational database so it was out of our [sight] very quickly. BigQuery is a data warehouse that can hold huge amount of data but not ideal for transition. AWS RDS is [...] similar to Spanner but because most of our services are already on GCP, so we went with Spanner.
    Incentivized
    Read full review
    Oracle
    MongoDB has a dynamic schema for how data is stored in 'documents' whereas MySQL is more structured with tables, columns, and rows. MongoDB was built for high availability whereas MySQL can be a challenge when it comes to replication of the data and making everything redundant in the event of a DR or outage.
    Incentivized
    Read full review
    Return on Investment
    Google
    • Backups specifically if transactional data is deleted. Restoring made us lose time.
    • Sharding on Horizontal level was quick and easy. Deployment and increasing nodes is easy
    • Large dataset handling.
    • ACID compliance
    Incentivized
    Read full review
    Oracle
    • As it is an open source solution through community solution, we can use it in a multitude of projects without cost license
    • The acquisition by Oracle makes you need to contract support for the enterprise version
    • If you have knowledge about oracle databases, you can get more out of the enterprise version
    Incentivized
    Read full review
    ScreenShots