Software Alternatives, Accelerators & Startups
Register | Login

Google Cloud SQL VS CouchBase

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

Hive
Seamless project management and collaboration for your team. 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.

CouchBase logo CouchBase

Document-Oriented NoSQL Database
  • Google Cloud SQL Landing page
    Landing page //
    2023-09-18
  • CouchBase Landing page
    Landing page //
    2023-10-21

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.

CouchBase features and specs

  • Scalability
    Couchbase is designed to scale out by adding more nodes to distribute the load. It supports horizontal scaling easily which makes it suitable for growing applications.
  • High Performance
    Couchbase uses an in-memory caching layer which helps to deliver low-latency responses and high throughput, making it ideal for real-time operational applications.
  • Flexibility
    As a NoSQL database, Couchbase supports flexible data models including key-value, document, and rich querying capabilities with N1QL (SQL for JSON).
  • Multi-Model Support
    Couchbase supports multiple data models such as JSON documents, key-value pairs, and even full-text search, allowing for a versatile data platform.
  • Cross Data Center Replication (XDCR)
    Couchbase offers cross data center replication, ensuring data is synchronized across multiple data centers which helps in disaster recovery and geo-distributed applications.
  • Mobile Support
    Couchbase Mobile provides a robust solution for synchronizing data between mobile devices and the backend server, enhancing offline functionality and data consistency.

Possible disadvantages of CouchBase

  • Complexity
    The architecture of Couchbase can be complex for new users to understand and manage efficiently, requiring a learning curve.
  • Resource Intensive
    Couchbase can be resource-intensive, requiring significant memory and storage especially when dealing with large datasets, potentially increasing infrastructure costs.
  • Licensing Cost
    The enterprise edition of Couchbase comes with significant licensing costs, which may not be affordable for startups or small businesses.
  • Community Support
    While Couchbase has a supportive community, it is not as large as some other NoSQL databases like MongoDB, which might limit access to community-driven solutions and shared knowledge.
  • Secondary Indexing Performance
    Secondary indexing in Couchbase can sometimes introduce performance overhead, especially when dealing with large volumes of data and complex queries.

Google Cloud SQL videos

+ Add

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

CouchBase videos

+ Add

Couchbase on Why Every Enterprise Should Be Looking to Leverage Database Technologies

More videos:

  • Review - 2019 Year In Review of Couchbase

Category Popularity

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

Google Cloud SQL

CouchBase

Databases
22 22%
Databases
78% 78
Relational Databases
100 100%
Relational Databases
0% 0
NoSQL Databases
11 11%
NoSQL Databases
89% 89
Development
0 0%
Development
100% 100

User comments

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

Reviews

These are some of the external sources and on-site user reviews we've used to compare Google Cloud SQL and CouchBase

Google Cloud SQL Reviews

We have no reviews of Google Cloud SQL yet.
Be the first one to post

CouchBase Reviews

10 Best Open Source Firebase Alternatives
Couchbase is an open source, NoSQL document-oriented engagement database, and distributed server that’s designed to support today’s mission-critical apps. The open-source platform runs natively on-device and manages synchronization to the server for mobile and IoT environments.
Source: rigorousthemes.com
7 Best NoSQL APIs
The Couchbase APIs use JSON based schemas, peer-to-peer cloud syncing, and distributed ACID transactions. With geo-aware clustering and a distributed cloud-to-edge architecture, Couchbase provides reliable and consistent performance. What’s more, the database easily scales and comes with Kubernetes capabilities, making Couchbase a favorite amongst developers.
Source: www.programmableweb.com
20+ MongoDB Alternatives You Should Know About
CouchBase is another database engine to consider. While being a document based database, CouchBase offers the N1QL language which has SQL look and feel.
Source: www.percona.com

Social recommendations and mentions

Based on our record, Google Cloud SQL should be more popular than CouchBase. It has been mentiond 18 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.

Google Cloud SQL mentions (18)

View more

CouchBase mentions (2)

  • Document your Open Source library with a Free AI chatbot
    It is therefor with great satisfaction we hereby announce that we might sponsor your Open Source project with your own custom AI chatbot built on top of ChatGPT and our AI chatbot technology. To show you an example of how this might look like, consider the following chatbot we've created for CouchBase. - Source: dev.to / almost 2 years ago
  • Couchbase Capella Hosted Database Free Trial Available
    I think the URL is linked from https://couchbase.com/ or cloud.couchbase.com. Source: over 3 years ago

What are some alternatives?

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

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

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

MySQL - The world's most popular open source database

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

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

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

Loading...