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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

    MongoDB

    Score8.8 out of 10
    N/AMongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.

    $0.10

    million reads

    PostgreSQL

    Score8.8 out of 10
    N/APostgreSQL (alternately Postgres) is a free and open source object-relational database system boasting over 30 years of active development, reliability, feature robustness, and performance. It supports SQL and is designed to support various workloads flexibly.N/A
    Pricing
    Google Cloud SQLMongoDBPostgreSQL
    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
    Shared
    $0
    per month
    Serverless
    $0.10million reads
    million reads
    Dedicated
    $57
    per month
    No answers on this topic
    Offerings
    Pricing Offerings
    Google Cloud SQLMongoDBPostgreSQL
    Free Trial
    YesYesNo
    Free/Freemium Version
    NoYesNo
    Premium Consulting/Integration Services
    NoNoNo
    Entry-level Setup FeeNo 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.Fully managed, global cloud database on AWS, Azure, and GCP—
    More Pricing Information
    Community Pulse
    Google Cloud SQLMongoDBPostgreSQL
    Considered Multiple Products
    Google
    Chose Google Cloud SQL
    Given this is a hosted solution, database a service it helps in removing the effort of maintaining these databases manually. Eases out the pain of upgrading, applying security patches and keeping things running without having to worry about missed changes. The database can be …
    Incentivized
    Chose Google Cloud SQL
    Easier learning, simple features and settings with a very user-friendly application environment and flexible prices make Google Cloud [SQL] a pioneering option over competitors
    Incentivized
    Chose Google Cloud SQL
    Google Cloud SQL is very similar to other cloud provider options. AWS and DigitalOcean are direct competitors, While Azure is focusing on their own products. At cloud provider level, it's a matter of choosing the provider, and this product will not play a significant role on …
    Incentivized
    MongoDB
    Chose MongoDB
    Looking into PostgreSQL happened post move to Mongo. Had we considered both options at the time we likely would have went with PostgreSQL. We may migrate at some point in the future but currently it doesn't make sense.
    Incentivized
    Chose MongoDB
    We wanted to try something which is not a relation DB and has more of distributed architecture. MongoDB turned out to be a great choice.
    Incentivized
    Chose MongoDB
    We have [measured] the speed in reading/write operations in high load and finally select the winner = MongoDBWe have [not] too much data but in case there will be 10 [times] more we need Cassandra. Cassandra's storage engine provides constant-time writes no matter how big your …
    Incentivized
    Chose MongoDB
    Both Couchbase and MongoDB are document-oriented NoSQL databases, so they have very similar features. While they do have some fundamental differences in terms of how they scale, shard, etc. the one key reason why we went with MongoDB is its availability and support from the …
    Incentivized
    Chose MongoDB
    The flexible structure underlying MongoDB's construction is not found in other competitors; the ability to easily change the structure without affecting other stored documents. It is very ideal for projects that you cannot predict that the structure will change this way. Of …
    Incentivized
    Chose MongoDB
    MongoDB is the most reliable and fastest for storing document-based data. It has a place among the most popular DB's these days.
    Incentivized
    Chose MongoDB
    MongoDB is our go-to database solution for any project, and the more we work with it the more we love it. Some say that NoSQL is pointless... Our developers wholeheartedly disagree, because they love working with it. Though both NoSQL and SQL have their purposes, in most …
    Incentivized
    Chose MongoDB
    Your default choice should not be MongoDB in my opinion. Most user-facing systems are relational by nature so a well known and reliable SQL database would be easier to maintain and simpler to develop long term. If you highly value speed of development go with Firebase. If you …
    Incentivized
    Chose MongoDB
    It does not belong to certain cloud platforms. MongoDB is an independent program that works with any cloud platform including Amazon Web Services and the Google Cloud Platform. For companies who want to maintain a cloud agnostic structure, MongoDB is a great choice for NoSQL …
    Incentivized
    Chose MongoDB
    We tend to choose MongoDB when we're faced with a particular situation: we know that we need a NoSQL database in general, and want an open-source implementation that allows us to prevent against platform lock-in. Amazon's new DocumentDB product even allows us to choose to use …
    Incentivized
    Chose MongoDB
    MongoDB is the best NoSQL database out there. There are others, but Mongo has the largest community, is very easy to set up, and is extremely performant. Compared to a relational DB (like MySQL or Postgres) is like comparing apples and oranges. One isn't better or worse than …
    Incentivized
    Chose MongoDB
    MongoDB is very easy to use and the best advantage is the NoSQL database. No concept of the relational database.
    Incentivized
    Chose MongoDB
    I recently tried out Firestore from the Google firebase family of development products. While it allows structuring of data similar to MongoDB, it handles things a little differently. MongoDB documents are incredibly flexible and can be structured really any way you can …
    Incentivized
    Chose MongoDB
    - Mongo had a query language
    - Mongo could be run easily on my laptop
    Incentivized
    Chose MongoDB
    We find MongoDB is an easily adoptable NoSQL database.
    Incentivized
    Chose MongoDB
    MongoDB is my only NoSQL database that I have used. I have used SQL databases and don't find them as enjoyable. I code in full stack JavaScript and it blends perfectly with this. I know that there are competitors in this space, and I need to take time to try them all out. I …
    Incentivized
    Chose MongoDB
    I selected MongoDB because it works for well with web interfaces. All of the RDBMS alternatives would have required a lot more time writing schemas and working around retrieving data and mapping it. That could have been somewhat mitigated with Entity Framework, but that again …
    Incentivized
    PostgreSQL Global Development Group
    Chose PostgreSQL
    MySQL is a popular open-source alternative to PostgreSQL, but in my experience it lacks the robustness, durability, and flexibility of PostgreSQL. It has also changed hands frequently, so support isn't the greatest. MongoDB and other NoSQL databases are helpful in certain …
    Incentivized
    Chose PostgreSQL
    Despite being all open source options, what ended up making us choose PostgreSQL was the robustness of its core, which allows the great workflow that can support timely and efficient response to the demand and demand for resources. In the case of MongoDB, it is a non-relational …
    Incentivized
    Chose PostgreSQL
    The features between these database are quite comparable - except for possibly MongoDB. MongoDB being a different type of database and geared towards big data - I don't compare it to PostgreSQL. The other two I have used and would say PostgreSQL does fairly well when compared …
    Incentivized
    Chose PostgreSQL
    First It's open source and it's cost-effective compared to other databases.PostgreSQL can be easily integrated with numerous platforms. It is well known and appreciated so relying on it as our system database can be easily accepted by our customers. And if your developing a …
    Incentivized
    Chose PostgreSQL
    When we were originally evaluating Redshift we ran into some issue with dates. Either way, Postgres is a better choice than Redshift because it avoids vendor lockin. We ended up choosing Postgres over MySQL because it was easier at the time to get a hosted Postgres cluster up …
    Incentivized
    Chose PostgreSQL
    Much more mature and stable when compared to MySQL with features such as MVCC, complex subquery plans, ORDBMS, and NoSQL support. With Oracle retaining rights to MySQL its future as an open database is less secure and is no longer in the hands of the community. PostgreSQL also …
    Incentivized
    Chose PostgreSQL
    PostgrPostgreSQL as a transaction db engine against oracle and sql server works well. TPM wise compared to MySQL and MariaDB, on an evan scale.
    SQL function supports, far outweighs compared to MySQL and MariaDB. PG Extensions allow for flexibiltity and scalability. Allows …
    Incentivized
    Chose PostgreSQL
    We selected PostgreSQL due to the number of employees who have used it in the past.
    The data consistency guarantees.
    The multiple transaction isolation levels support.
    Incentivized
    Chose PostgreSQL
    PostgreSQL outperforms every other option. It is faster, more flexible, more reliable, easier to maintain, and more consistent in behaviour than any of the other offerings.
    Incentivized
    Chose PostgreSQL
    It's a viable alternative, with a rich feature set and a reliable system. PostgreSQL is one of the best RDBMS's currently on the market in 2020, it serves just as well as a starter, PoC DB for any software idea as a final, highly valuable database solution for big systems.
    Incentivized
    Chose PostgreSQL
    PostgreSQL is the proper tool when data consistency matters and other BASE or document-based databases are simply improper. I think PostgreSQL has a fantastic system of slony replication, triggers, and other data maintenance functionality that other databases generally don't …
    Incentivized
    Chose PostgreSQL
    I found PostgreSQL to be better compared to MySQL. The community support is very good. Some features that I feel are not present in MySQL are:
    • No referential integrity.
    • No constraints (CHECK).
    Incentivized
    Chose PostgreSQL
    Compared to MySQL, it works well if you need to extend to your use case
    Compared to Spark, it works better w.r.t development time in a central database setting
    Like Redis, it cannot be used for caching and quick access of non-structured data
    Incentivized
    Chose PostgreSQL
    As I said, Postgres and MySQL are open source which is important for small start ups. Oracle is EXPENSIVE :)
    Postgres is faster than MySQL (Big factor)
    MySQL supports replication which makes it more scalable.
    Incentivized
    Chose PostgreSQL
    I am currently using MySQL and it is difficult to notice much of a difference at all. For free relational databases, there hasn't been enough for me to choose a clear winner. If you're already using a free solution, there would be no reason to change. In terms of comparing to a …
    Incentivized
    Key User Insights
    Would buy again
    100%
    Would buy again
    32 Answers
    100%
    Would buy again
    12 Answers
    100%
    Would buy again
    32 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    32 Answers
    100%
    Delivers good value for the price
    12 Answers
    100%
    Delivers good value for the price
    32 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    32 Answers
    100%
    Happy with the feature set
    12 Answers
    100%
    Happy with the feature set
    32 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
    9 Answers
    100%
    Lived up to sales and marketing promises
    25 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    29 Answers
    100%
    Implementation went as expected
    12 Answers
    100%
    Implementation went as expected
    31 Answers
    Features
    Google Cloud SQLMongoDBPostgreSQL
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google Cloud SQL and MongoDB and PostgreSQL
    Feature
    Google Cloud SQL
    8.9
    35 Ratings
    5% above category average
    MongoDB
    -
    Ratings
    PostgreSQL
    -
    Ratings
    Automatic software patching9.612 Ratings00 Ratings00 Ratings
    Database scalability8.635 Ratings00 Ratings00 Ratings
    Automated backups8.735 Ratings00 Ratings00 Ratings
    Database security provisions8.635 Ratings00 Ratings00 Ratings
    Monitoring and metrics9.034 Ratings00 Ratings00 Ratings
    Automatic host deployment9.012 Ratings00 Ratings00 Ratings
    NoSQL Databases
    Comparison of NoSQL Databases features of Google Cloud SQL and MongoDB and PostgreSQL
    Feature
    Google Cloud SQL
    -
    Ratings
    MongoDB
    10.0
    39 Ratings
    16% above category average
    PostgreSQL
    -
    Ratings
    Performance00 Ratings10.039 Ratings00 Ratings
    Availability00 Ratings10.039 Ratings00 Ratings
    Concurrency00 Ratings10.039 Ratings00 Ratings
    Security00 Ratings10.039 Ratings00 Ratings
    Scalability00 Ratings10.039 Ratings00 Ratings
    Data model flexibility00 Ratings10.039 Ratings00 Ratings
    Deployment model flexibility00 Ratings10.038 Ratings00 Ratings
    Best Alternatives
    Google Cloud SQLMongoDBPostgreSQL
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    IBM Cloudant
    Score7.4 out of 10
    MariaDB Platform
    Score9.1 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    IBM Cloudant
    Score7.4 out of 10
    MySQL
    Score8.5 out of 10
    Enterprises
    Google BigQuery
    Score8.8 out of 10
    IBM Cloudant
    Score7.4 out of 10
    SQLite
    Score8 out of 10
    All AlternativesView all alternativesView all alternativesView all alternatives
    User Ratings
    Google Cloud SQLMongoDBPostgreSQL
    Likelihood to Recommend
    8.4
    (35 ratings)
    10.0
    (79 ratings)
    8.3
    (56 ratings)
    Likelihood to Renew
    9.1
    (2 ratings)
    10.0
    (67 ratings)
    9.0
    (1 ratings)
    Usability
    8.6
    (17 ratings)
    10.0
    (15 ratings)
    8.3
    (9 ratings)
    Availability
    -
    (0 ratings)
    9.0
    (1 ratings)
    9.0
    (1 ratings)
    Performance
    -
    (0 ratings)
    -
    (0 ratings)
    7.0
    (1 ratings)
    Support Rating
    9.1
    (5 ratings)
    9.6
    (13 ratings)
    9.3
    (7 ratings)
    Implementation Rating
    9.1
    (1 ratings)
    8.4
    (2 ratings)
    9.0
    (1 ratings)
    Ease of integration
    9.3
    (12 ratings)
    -
    (0 ratings)
    -
    (0 ratings)
    Product Scalability
    -
    (0 ratings)
    -
    (0 ratings)
    8.0
    (1 ratings)
    User Testimonials
    Google Cloud SQLMongoDBPostgreSQL
    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
    MongoDB
    If asked by a colleague I would highly recommend MongoDB. MongoDB provides incredible flexibility and is quick and easy to set up. It also provides extensive documentation which is very useful for someone new to the tool. Though I've used it for years and still referenced the docs often. From my experience and the use cases I've worked on, I'd suggest using it anywhere that needs a fast, efficient storage space for non-relational data. If a relational database is needed then another tool would be more apt.
    Incentivized
    Read full review
    PostgreSQL Global Development Group
    PostgreSQL is best used for structured data, and best when following relational database design principles. I would not use PostgreSQL for large unstructured data such as video, images, sound files, xml documents, web-pages, especially if these files have their own highly variable, internal structure.
    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
    MongoDB
    • Being a JSON language optimizes the response time of a query, you can directly build a query logic from the same service
    • You can install a local, database-based environment rather than the non-relational real-time bases such a firebase does not allow, the local environment is paramount since you can work without relying on the internet.
    • Forming collections in Mango is relatively simple, you do not need to know of query to work with it, since it has a simple graphic environment that allows you to manage databases for those who are not experts in console management.
    Incentivized
    Read full review
    PostgreSQL Global Development Group
    • It works well with external data sources and runs on platforms with stable performance.
    • Clients can rest assured that their personal information will be safe and secure.
    • Many forums discuss setup and usage, and most are free.
    • Adding tooling applications to a computer is unlimited.
    • PostgreSQL runs on many OS platforms and supports ANSI SQL, stored procedures, and triggers.
    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
    MongoDB
    • An aggregate pipeline can be a bit overwhelming as a newcomer.
    • There's still no real concept of joins with references/foreign keys, although the aggregate framework has a feature that is close.
    • Database management/dev ops can still be time-consuming if rolling your own deployments. (Thankfully there are plenty of providers like Compose or even MongoDB's own Atlas that helps take care of the nitty-gritty.
    Incentivized
    Read full review
    PostgreSQL Global Development Group
    • Clearer indications on what is the query plan, to optimize the query
    • More out of the box, Postgres specific, SQL functions
    • It would be nice to have a more visual aid of the relationship between all tables, but possibly this depend more on the UI used
    Incentivized
    Read full review
    Likelihood to Renew
    Google
    It fits the current needs and bandwith of out lean organization.
    Incentivized
    Read full review
    MongoDB
    I am looking forward to increasing our SaaS subscriptions such that I get to experience global replica sets, working in reads from secondaries, and what not. Can't wait to be able to exploit some of the power that the "Big Boys" use MongoDB for.
    Incentivized
    Read full review
    PostgreSQL Global Development Group
    As a needed software for day to day development activities
    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
    MongoDB
    NoSQL database systems such as MongoDB lack graphical interfaces by default and therefore to improve usability it is necessary to install third-party applications to see more visually the schemas and stored documents. In addition, these tools also allow us to visualize the commands to be executed for each operation.
    Incentivized
    Read full review
    PostgreSQL Global Development Group
    Postgresql is the best tool out there for relational data so I have to give it a high rating when it comes to analytics, data availability and consistency, so on and so forth. SQL is also a relatively consistent language so when it comes to building new tables and loading data in from the OLTP database, there are enough tools where we can perform ETL on a scalable basis.
    Incentivized
    Read full review
    Reliability and Availability
    Google
    No answers on this topic
    MongoDB
    No answers on this topic
    PostgreSQL Global Development Group
    PostgreSQL's availability is top notch. Apart from connection time-out for an idle user, the database is super reliable.
    Incentivized
    Read full review
    Performance
    Google
    No answers on this topic
    MongoDB
    No answers on this topic
    PostgreSQL Global Development Group
    The data queries are relatively quick for a small to medium sized table. With complex joins, and a wide and deep table however, the performance of the query has room for improvement.
    Incentivized
    Read full review
    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
    MongoDB
    Finding support from local companies can be difficult. There were times when the local company could not find a solution and we reached a solution by getting support globally. If a good local company is found, it will overcome all your problems with its global support.
    Incentivized
    Read full review
    PostgreSQL Global Development Group
    There are several companies that you can contract for technical support, like EnterpriseDB or Percona, both first level in expertise and commitment to the software.
    But we do not have contracts with them, we have done all the way from googling to forums, and never have a problem that we cannot resolve or pass around. And for dozens of projects and more than 15 years now.
    Incentivized
    Read full review
    Online Training
    Google
    No answers on this topic
    MongoDB
    No answers on this topic
    PostgreSQL Global Development Group
    The online training is request based. Had there been recorded videos available online for potential users to benefit from, I could have rated it higher. The online documentation however is very helpful. The online documentation PDF is downloadable and allows users to pace their own learning. With examples and code snippets, the documentation is great starting point.
    Incentivized
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    MongoDB
    While the setup and configuration of MongoDB is pretty straight forward, having a vendor that performs automatic backups and scales the cluster automatically is very convenient. If you do not have a system administrator or DBA familiar with MongoDB on hand, it's a very good idea to use a 3rd party vendor that specializes in MongoDB hosting. The value is very well worth it over hosting it yourself since the cost is often reasonable among providers.
    Incentivized
    Read full review
    PostgreSQL Global Development Group
    The online documentation of the PostgreSQL product is elaborate and takes users step by step.
    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
    MongoDB
    We have [measured] the speed in reading/write operations in high load and finally select the winner = MongoDBWe have [not] too much data but in case there will be 10 [times] more we need Cassandra. Cassandra's storage engine provides constant-time writes no matter how big your data set grows. For analytics, MongoDB provides a custom map/reduce implementation; Cassandra provides native Hadoop support.
    Read full review
    PostgreSQL Global Development Group
    Although the competition between the different databases is increasingly aggressive in the sense that they provide many improvements, new functionalities, compatibility with complementary components or environments, in some cases it requires that it be followed within the same family of applications that performs the company that develops it and that is not all bad, but being able to adapt or configure different programs, applications or other environments developed by third parties apart is what gives PostgreSQL a certain advantage and this diversification in the components that can be joined with it, is the reason why it is a great option to choose.
    Incentivized
    Read full review
    Scalability
    Google
    No answers on this topic
    MongoDB
    No answers on this topic
    PostgreSQL Global Development Group
    The DB is reliable, scalable, easy to use and resolves most DB needs
    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
    MongoDB
    • Open Source w/ reasonable support costs have a direct, positive impact on the ROI (we moved away from large, monolithic, locked in licensing models)
    • You do have to balance the necessary level of HA & DR with the number of servers required to scale up and scale out. Servers cost money - so DR & HR doesn't come for free (even though it's built into the architecture of MongoDB
    Read full review
    PostgreSQL Global Development Group
    • Easy to administer so our DevOps team has only ever used minimal time to setup, tune, and maintain.
    • Easy to interface with so our Engineering team has only ever used minimal time to query or modify the database. Getting the data is straightforward, what we do with it is the bigger concern.
    • It's free. You can't beat that.
    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.

    MongoDB Screenshots

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