Software Alternatives, Accelerators & Startups

Firestore VS Google Cloud SQL

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

Firestore logo Firestore

Easily develop rich applications using a fully managed, scalable, and serverless document database.

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.
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  • Google Cloud SQL Landing page
    Landing page //
    2023-09-18

Firestore features and specs

No features have been listed yet.

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.

Firestore videos

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Google Cloud SQL videos

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

Category Popularity

0-100% (relative to Firestore and Google Cloud SQL)
Databases
18 18%
82% 82
NoSQL Databases
30 30%
70% 70
Relational Databases
23 23%
77% 77
Graph Databases
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Google Cloud SQL should be more popular than Firestore. It has been mentiond 19 times since March 2021. 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.

Firestore mentions (2)

Google Cloud SQL mentions (19)

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What are some alternatives?

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

RxDB - A fast, offline-first, reactive Database for JavaScript Applications

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

PouchDB - Open-source JavaScript database inspired by Apache CouchDB that's designed to run well within the browser

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.

SignalDB - SignalDB is a reactive, local-first JavaScript database designed for modern web applications. It combines signal-based reactivity with powerful local data management and real-time synchronization capabilities.