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    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
    Pricing
    Google Cloud Spanner
    Editions & Modules
    No answers on this topic
    Offerings
    Pricing Offerings
    Google Cloud Spanner
    Free Trial
    No
    Free/Freemium Version
    No
    Premium Consulting/Integration Services
    No
    Entry-level Setup FeeNo setup fee
    Additional Details—
    More Pricing Information
    Community Pulse
    Google Cloud Spanner
    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
    Chose Google Cloud Spanner
    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 …
    Incentivized
    Key User Insights
    Would buy again
    No answers on this topic
    Delivers good value for the price
    No answers on this topic
    Happy with the feature set
    No answers on this topic
    Lived up to sales and marketing promises
    No answers on this topic
    Implementation went as expected
    No answers on this topic
    Features
    Google Cloud Spanner
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google Cloud Spanner
    Feature
    Google Cloud Spanner
    7.8
    2 Ratings
    8% below category average
    Automatic software patching8.82 Ratings
    Database scalability8.82 Ratings
    Automated backups10.01 Ratings
    Database security provisions5.82 Ratings
    Monitoring and metrics5.82 Ratings
    Automatic host deployment7.62 Ratings
    Best Alternatives
    Google Cloud Spanner
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    All AlternativesView all alternatives
    User Ratings
    Google Cloud Spanner
    Likelihood to Recommend
    7.4
    (2 ratings)
    User Testimonials
    Google Cloud Spanner
    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
    Pros
    Google
    • Super high availability
    • Scales automatically
    • High standard SLA
    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
    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
    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
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