Software Alternatives, Accelerators & Startups
Register | Login

Google Cloud SQL VS Google Cloud Spanner

Compare Google Cloud SQL VS Google Cloud Spanner and see what are their differences

EcholoN
Holistic service management: service, support + customer care. From Ticketing to Helpdesk, Service Desk, ITSM to Enterprise Service Management, Service Technician and Field Service Management (FSM)... featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Google Cloud SQL logo Google Cloud SQL

Google Cloud SQL is a fully-managed database service that makes it easy to set-up, maintain, manage and administer your MySQL database.

Google Cloud Spanner logo Google Cloud Spanner

Google Cloud Spanner is a horizontally scalable, globally consistent, relational database service.
  • Google Cloud SQL Landing page
    Landing page //
    2023-09-18
  • Google Cloud Spanner Landing page
    Landing page //
    2023-09-17

Google Cloud SQL features and specs

  • Fully Managed Service
    Google Cloud SQL handles maintenance, backups, and updates, allowing developers to focus on application development rather than database management tasks.
  • Scalability
    Easily scale vertically by upgrading to more powerful machine types or horizontally to handle increased workload without manual intervention.
  • High Availability
    Google Cloud SQL offers automatic failover, replication, and backup, ensuring minimal downtime and data preservation in case of failures.
  • Security
    Provides multiple layers of security including encryption at rest and in transit, along with built-in firewall rules and IAM policies for robust access control.
  • Integration
    Seamlessly integrates with other Google Cloud services like BigQuery, Compute Engine, and Google Kubernetes Engine, supporting complex architectures and workflows.

Possible disadvantages of Google Cloud SQL

  • Cost
    It can be more expensive than self-managed solutions, especially as the need for additional resources and scaling arises.
  • Vendor Lock-in
    Relying on Google Cloud SQL could create dependency on the Google Cloud ecosystem, which might complicate future migration to other platforms.
  • Customization Limitations
    Being a managed service, it has constraints on certain configurations and customizations that might be essential for specific use cases.
  • Latency
    There might be increased latency compared to on-premises solutions, particularly for applications requiring very low-latency data access.
  • Compliance
    While Google Cloud SQL complies with many regulatory standards, some industries with highly specific requirements may find it unsuitable.

Google Cloud Spanner features and specs

  • Scalability
    Google Cloud Spanner can automatically scale horizontally, providing robust support for large-scale applications. It can handle petabytes of data across millions of instances with ease.
  • Global Distribution
    Spanner enables globally distributed databases with strong consistency and low-latency reads, allowing applications to deliver seamless performance across the globe.
  • Strong Consistency
    Unlike many other distributed databases, Cloud Spanner offers strong transactional consistency, using Google's TrueTime API to ensure precise timestamp ordering that supports ACID transactions.
  • Fully Managed
    Cloud Spanner is a fully managed service, which means Google handles maintenance tasks such as updates, scaling, and provisioning, reducing the operational overhead for users.
  • SQL Support
    It provides support for SQL queries, making it easier for developers and teams familiar with SQL to integrate and manage their data workloads without needing to learn new paradigms.
  • High Availability
    Cloud Spanner is designed for high availability, with built-in redundancy and failover capabilities that ensure continuous operation even in the face of regional outages.

Possible disadvantages of Google Cloud Spanner

  • Cost
    Google Cloud Spanner can be expensive compared to other database solutions, especially for smaller applications or startups with limited budgets.
  • Limited Ecosystem
    While growing, Spanner's ecosystem is not as mature as more established relational or NoSQL databases, which might lead to fewer third-party tools and integrations.
  • Complexity in Migration
    Migrating existing applications and data to Cloud Spanner can be complex and time-consuming, particularly for those coming from non-relational database systems.
  • Limited NoSQL Features
    For applications that require specific NoSQL features, such as unstructured data handling and schema flexibility, Cloud Spanner may not be the best fit compared to other NoSQL databases.
  • Regional Lock-in
    Although it offers global distribution, data residency and compliance requirements might limit some organizations to specific regions, which can affect the strategic deployment of an application.

Google Cloud SQL videos

+ Add

GCP | Google Cloud SQL | Cloud SQL Features , Read Replicas & High Availability | DEMO

Google Cloud Spanner videos

+ Add

Build with Google Cloud Spanner

Category Popularity

0-100% (relative to Google Cloud SQL and Google Cloud Spanner)

Google Cloud SQL

Google Cloud Spanner

Databases
45 45%
Databases
55% 55
Relational Databases
33 33%
Relational Databases
67% 67
NoSQL Databases
39 39%
NoSQL Databases
61% 61
Cloud Computing
100 100%
Cloud Computing
0% 0

User comments

Share your experience with using Google Cloud SQL and Google Cloud Spanner. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Google Cloud SQL might be a bit more popular than Google Cloud Spanner. We know about 18 links to it since March 2021 and only 17 links to Google Cloud Spanner. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Google Cloud SQL mentions (18)

View more

Google Cloud Spanner mentions (17)

  • Golden Ticket To Explore Google Cloud
    Multiregion is possible in Google Cloud using Cloud Spanner, which allows you to replicate the database not only in multiple zones but also in multiple regions as defined in the instance configuration. The replicas allow you to read data with low latency from multiple locations that are close to or within the region in the configuration. - Source: dev.to / almost 2 years ago
  • /u/ryuuthecat wonders how a feature of google maps works. Engineer who programmed the feature responds with the answer
    Basically everything I touch is in-house, but a majority of it is available publicly. For instance: https://cloud.google.com/spanner/. Source: over 2 years ago
  • How Do Companies (Like Evernote) Handle So Many Notes?
    An application that needs to handle a lot of data can use a distributed database like Cloud Spanner. Unlimited scale and you don't have to split your database into multiple tables. Source: over 2 years ago
  • One of my favorite topics in DE is CAP Theorem. Has anyone managed to accomplish all 3 at once yet or is it truly impossible like the theorem states.
    Look at the architecture and performance of Google's Cloud Spanner, a CP system with 99.999% availability... https://cloud.google.com/spanner. Source: over 2 years ago
  • Vaultree and AlloyDB: the world's first Fully Homomorphic and Searchable Cloud Encryption Solution
    In my opinion, Google has built some fantastic database services like Bigtable and Spanner, which literally changed the industry for good, and I am eager to see how they will build upon this new service. With AlloyDB's disaggregated architecture, the dystopian world where I only pay for SQL databases per query and the stored data on GCP seems closer than ever. - Source: dev.to / over 2 years ago
View more

What are some alternatives?

When comparing Google Cloud SQL and Google Cloud Spanner, you can also consider the following products

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

MySQL - The world's most popular open source database

Oracle DBaaS - See how Oracle Database 12c enables businesses to plug into the cloud and power the real-time enterprise.

Amazon Aurora - MySQL and PostgreSQL-compatible relational database built for the cloud. Performance and availability of commercial-grade databases at 1/10th the cost.

Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

SQLite - SQLite Home Page

Loading...