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

    Google Cloud SQL

    Score8.7 out of 10
    N/AGoogle Cloud SQL is a database-as-a-service (DBaaS) with the capability and functionality of MySQL.

    $0

    per core hour

    Pricing
    Google Cloud SpannerGoogle Cloud SQL
    Editions & Modules
    No answers on this topic
    License - Express
    $0
    per core hour
    License - Web
    $0.01134
    per core hour
    Storage - for backups
    $.08
    per month per GB
    HA Storage - for backups
    $.08
    per month per GB
    Storage - HDD storage capacity
    $.09
    per month per GB
    License - Standard
    $0.13
    per core hour
    Storage - SSD storage capacity
    $.17
    per month per GB
    HA Storage - HDD storage capacity
    $.18
    per month per GB
    HA Storage - SSD storage capacity
    $.34
    per month per GB
    License - Enterprise
    $0.47
    per core hour
    Memory
    $5.11
    per month per GB
    HA Memory
    $10.22
    per month per GB
    vCPUs
    $30.15
    per month per vCPU
    HA vCPUs
    $60.30
    per month per vCPU
    Offerings
    Pricing Offerings
    Google Cloud SpannerGoogle Cloud SQL
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—Pricing varies with editions, engine, and settings, including how much storage, memory, and CPU you provision. Cloud SQL offers per-second billing.
    More Pricing Information
    Community Pulse
    Google Cloud SpannerGoogle Cloud SQL
    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
    Google
    Chose Google Cloud SQL
    Kind of similar features provided against RDS. Used this because of transactional db
    Incentivized
    Chose Google Cloud SQL
    BigQuery is a great analytical database and is generally our first choice for large analytical workloads. While its performance and throughput far outperforms Google Cloud SQL but it supports a far limited dialets of SQL. Generally a significant rewrite will be needed for …
    Incentivized
    Key User Insights
    Would buy again
    No answers on this topic
    100%
    Would buy again
    32 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    32 Answers
    Happy with the feature set
    No answers on this topic
    100%
    Happy with the feature set
    32 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    24 Answers
    Implementation went as expected
    No answers on this topic
    100%
    Implementation went as expected
    29 Answers
    Features
    Google Cloud SpannerGoogle Cloud SQL
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google Cloud Spanner and Google Cloud SQL
    Feature
    Google Cloud Spanner
    7.8
    2 Ratings
    8% below category average
    Google Cloud SQL
    8.9
    35 Ratings
    5% above category average
    Automatic software patching8.82 Ratings9.612 Ratings
    Database scalability8.82 Ratings8.635 Ratings
    Automated backups10.01 Ratings8.735 Ratings
    Database security provisions5.82 Ratings8.635 Ratings
    Monitoring and metrics5.82 Ratings9.134 Ratings
    Automatic host deployment7.62 Ratings9.012 Ratings
    Best Alternatives
    Google Cloud SpannerGoogle Cloud SQL
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    MongoDB Atlas
    Score7.8 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    Azure Database
    Score8.8 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    Google BigQuery
    Score8.8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google Cloud SpannerGoogle Cloud SQL
    Likelihood to Recommend
    7.4
    (2 ratings)
    8.4
    (35 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.1
    (2 ratings)
    Usability
    -
    (0 ratings)
    8.6
    (17 ratings)
    Support Rating
    -
    (0 ratings)
    9.1
    (5 ratings)
    Implementation Rating
    -
    (0 ratings)
    9.1
    (1 ratings)
    Ease of integration
    -
    (0 ratings)
    9.3
    (12 ratings)
    User Testimonials
    Google Cloud SpannerGoogle Cloud SQL
    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
    Google
    Does what it promises well, for instance, as a sidecar for the main enterprise data warehouse. However, I would not recommend using it as the main data warehouse, particularly due to the heavy business logic, as other dedicated tools are more suitable for ensuring scalable operations in terms of change management and multi-developer adjustments.
    Incentivized
    Read full review
    Pros
    Google
    • Super high availability
    • Scales automatically
    • High standard SLA
    Incentivized
    Read full review
    Google
    • It has a easily and user understandable interface which provides it every necessary feature to come up with.
    • It's backend is very strong that can help us to run big quieres without any hesitation.
    • It's integration with other tools are one of the powerful feature which makes it more suitable to use.
    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
    Google
    • Increasing support for more database engines may enable a wider range of application needs to be met.
    • Implementing and updating cutting-edge security features on a constant basis.
    • Streamlining and enhancing the tools for transferring data to Google Cloud SQL from on-premises databases or other cloud providers.
    Read full review
    Likelihood to Renew
    Google
    No answers on this topic
    Google
    It fits the current needs and bandwith of out lean organization.
    Incentivized
    Read full review
    Usability
    Google
    No answers on this topic
    Google
    As with other cloud tools, users must learn a new terminology to navigate the various tools and configurations, and understand Google Cloud's configuration structure to perform even the most basic operations. So the learning curve is quite steep, but after a few months, it gets easier to maintain.
    Incentivized
    Read full review
    Support Rating
    Google
    No answers on this topic
    Google
    GCP support in general requires a support agreement. For small organizations like us, this is not affordable or reasonable. It would help if Google had a support mechanism for smaller organizations. It was a steep learning curve for us because this was our first entry into the cloud database world. Better documentation also would have helped.
    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
    Google
    Unlike other products, Google Cloud SQL has very flexible features that allow it to be selected for a free trial account so that the product can be analyzed and tested before purchasing it. Integration capabilities with most of the web services tools are easier regarding Google Cloud SQL with its nature and support.
    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
    Google
    • Improved integration with Google Cloud, we have set up some automations with Google Workspace, and we have noticed that the raw data sharing between them is very fast as compared to using some other managed database, not sure why.
    • Due to some downtime during maintenance, we had to set up a relatively small service which ingested the data while this went down and dumped it when it came back up. So this was a negative impact on our ROI, since now we had to remedy this downtime against the same profit margins
    • It was cheaper than the legacy aws service since we needed large database instances
    Incentivized
    Read full review
    ScreenShots

    Google Cloud SQL Screenshots

    Screenshot of migrating to a fully managed database solution - Self-managing a database, such as MySQL, PostgreSQL, or SQL Server, can be inefficient and expensive, with significant effort around patching, hardware maintenance, backups, and tuning. Migrating to a fully managed solution can be done using a Database Migration Service with minimal downtime.Screenshot of data-driven application development - Cloud SQL accelerates application development via integration with the larger ecosystem of Google Cloud services, Google partners, and the open source community.