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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    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

    Oracle Autonomous Data Warehouse

    Score8.1 out of 10
    N/AOracle Autonomous Data Warehouse is optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can discover business insights using data of any size and type. The solution is built for the cloud and optimized using Oracle Exadata.N/A
    Pricing
    Google Cloud SQLOracle Autonomous Data Warehouse
    Editions & Modules
    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
    No answers on this topic
    Offerings
    Pricing Offerings
    Google Cloud SQLOracle Autonomous Data Warehouse
    Free Trial
    YesNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional DetailsPricing 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 SQLOracle Autonomous Data Warehouse
    Considered Both Products
    Google
    No answer on this topic
    Oracle
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    32 Answers
    100%
    Would buy again
    7 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    32 Answers
    100%
    Delivers good value for the price
    6 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    32 Answers
    100%
    Happy with the feature set
    7 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    24 Answers
    100%
    Lived up to sales and marketing promises
    5 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    29 Answers
    100%
    Implementation went as expected
    7 Answers
    Features
    Google Cloud SQLOracle Autonomous Data Warehouse
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google Cloud SQL and Oracle Autonomous Data Warehouse
    Feature
    Google Cloud SQL
    8.9
    35 Ratings
    5% above category average
    Oracle Autonomous Data Warehouse
    -
    Ratings
    Automatic software patching9.612 Ratings00 Ratings
    Database scalability8.635 Ratings00 Ratings
    Automated backups8.735 Ratings00 Ratings
    Database security provisions8.535 Ratings00 Ratings
    Monitoring and metrics9.034 Ratings00 Ratings
    Automatic host deployment9.012 Ratings00 Ratings
    Best Alternatives
    Google Cloud SQLOracle Autonomous Data Warehouse
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    No answers on this topic
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    Cloudera Enterprise Data Hub
    Score9 out of 10
    Enterprises
    Google BigQuery
    Score8.8 out of 10
    Oracle Exadata
    Score9.8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google Cloud SQLOracle Autonomous Data Warehouse
    Likelihood to Recommend
    8.4
    (35 ratings)
    8.9
    (32 ratings)
    Likelihood to Renew
    9.1
    (2 ratings)
    8.0
    (1 ratings)
    Usability
    8.6
    (17 ratings)
    -
    (0 ratings)
    Support Rating
    9.1
    (5 ratings)
    -
    (0 ratings)
    Implementation Rating
    9.1
    (1 ratings)
    9.0
    (1 ratings)
    Ease of integration
    9.3
    (12 ratings)
    -
    (0 ratings)
    User Testimonials
    Google Cloud SQLOracle Autonomous Data Warehouse
    Likelihood to Recommend
    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
    Oracle
    II would recommend Oracle Autonomous Data Warehouse to someone looking to fully automate the transferring of data especially in a warehouse scenario though I can see the elasticity of the suite that is offered and can see it is applicable in other scenarios not just warehouses.
    Incentivized
    Read full review
    Pros
    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
    Oracle
    • Very easy and fast to load data into the Oracle Autonomous Data Warehouse
    • Exceptionally fast retrieval of data joining 100 million row table with a billion row table plus the size of the database was reduced by a factor of 10 due to how Oracle store[s] and organise[s] data and indexes.
    • Flexibility with scaling up and down CPU on the fly when needed, and just stop it when not needed so you don't get charged when it is not running.
    • It is always patched and always available and you can add storage dynamically as you need it.
    Read full review
    Cons
    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
    Oracle
    • It is very expensive product. But not to mention, there's good reasons why it is expensive.
    • The product should support more cloud based services. When we made the decision to buy the product (which was 20 years ago,) there was no such thing to consider, but moving to a cloud based data warehouse may promise more scalability, agility, and cost reduction. The new version of Data Warehouse came out on the way, but it looks a bit behind compared to other competitors.
    • Our healthcare data consists of 30% coded data (such as ICD 10 / SNOMED C,T) but the rests is narrative (such as clinical notes.). Oracle is the best for warehousing standardized data, but not a good choice when considering unstructured data, or a mix of the two.
    Incentivized
    Read full review
    Likelihood to Renew
    Google
    It fits the current needs and bandwith of out lean organization.
    Incentivized
    Read full review
    Oracle
    Because
    • It is really simple to provision and configure.
    • Does not require continous attention from the DBA, autonomous features allows the database to perform most of the regular admin tasks without need for human intervention.
    • Allows to integrate multiple data sources on a central data warehouse, and explode the information stored with different analytic and reporting tools.
    Incentivized
    Read full review
    Usability
    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
    Oracle
    No answers on this topic
    Support Rating
    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
    Oracle
    No answers on this topic
    Implementation Rating
    Google
    No answers on this topic
    Oracle
    Understanding Oracle Cloud Infrastructure is really simple, and Autonomous databases are even more. Using shared or dedicated infrastructure is one of the few things you need to consider at the moment of starting provisioning your Oracle Autonomous Data Warehouse.
    Incentivized
    Read full review
    Alternatives Considered
    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
    Oracle
    As I mentioned, I have also worked with Amazon Redshift, but it is not as versatile as Oracle Autonomous Data Warehouse and does not provide a large variety of products. Oracle Autonomous Data Warehouse is also more reliable than Amazon Redshift, hence why I have chosen it
    Incentivized
    Read full review
    Return on Investment
    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
    Oracle
    • Overall the business objective of all of our clients have been met positively with Oracle Data Warehouse. All of the required analysis the users were able to successfully carry out using the warehouse data.
    • Using a 3-tier architecture with the Oracle Data Warehouse at the back end the mid-tier has been integrated well. This is big plus in providing the necessary tools for end users of the data warehouse to carry out their analysis.
    • All of the various BI products (OBIEE, Cognos, etc.) are able to use and exploit the various analytic built-in functionalities of the Oracle Data Warehouse.
    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.