Feature image Google Cloud Platform's NoSQL Database_ An Overview

Google Cloud Platform's NoSQL Database: An Overview

By Laurent Mauer · October 6, 2022 · 8 min read

NoSQL databases are a type of database that does not use the traditional table-based relational database model.

Google Cloud Platform offers a number of different NoSQL database options, each with its own benefits and drawbacks.

In this article, we’ll take a look at what a NoSQL database is, the benefits and drawbacks of using one, and the different NoSQL database options offered by Google Cloud Platform.

We’ll also touch on pricing and support for Google Cloud Platform’s NoSQL databases.

By the end of this article, you should have a good understanding of whether or not a NoSQL database is right for your needs, and if so, which Google Cloud Platform NoSQL database option is best for you.

What is a NoSQL Database?

NoSQL databases are often better suited for handling large amounts of data that are not structured in a traditional way.

For example, a NoSQL database might be a better choice for storing data from social media applications, where the data is constantly changing and is not easily structured into traditional rows and columns.

NoSQL databases can also be a good choice for applications that need to be able to scale quickly and easily, as they can be horizontally scaled much more easily than relational databases.

Benefits of NoSQL Databases

There are a number of benefits to using a NoSQL database instead of a traditional relational database.

  • NoSQL databases are often much easier to scale than relational databases

This is because NoSQL databases can be horizontally scaled, meaning that you can add more machines to the system to handle more traffic, without having to rewrite the entire database.

This is in contrast to relational databases, which can only be vertically scaled, meaning that you can only add more powerful machines, and at some point you will reach the limit of what the database can handle.

  • NoSQL databases are often much better at handling unstructured data than relational databases

This is because NoSQL databases do not require the data to be structured in a specific way in order to be stored, whereas relational databases do.

This means that NoSQL databases can be a better choice for applications where the data is constantly changing and is not easily structured into traditional rows and columns.

Drawbacks of NoSQL Databases

There are also some drawbacks to using a NoSQL database.

  • They can be more difficult to query than relational databases, because NoSQL databases do not use the traditional table-based relational model. This means that if you need to run complex queries against your data, a NoSQL database might not be the best choice.
  • They can be more difficult to administer than relational databases, because NoSQL databases are often designed to be horizontally scalable, they can be more difficult to administer than relational databases. This is because each machine in the system needs to be configured correctly in order for the system to work correctly.
  • They can be more expensive than relational databases, because NoSQL databases are often designed to handle large amounts of unstructured data. This is because you need to purchase more powerful machines in order to store and process the data.
  • They can be more difficult to backup than relational databases, because NoSQL databases are often designed to be horizontally scalable. This is because each machine in the system needs to be backed up separately. Fifth, because NoSQL databases are often designed to be horizontally scalable, they can be more difficult to replicate than relational databases. This is because each machine in the system needs to be configured correctly in order for the replication to work correctly.

Google Cloud Platform’s NoSQL Database Options

Google Cloud Platform offers a number of different NoSQL database options, each with its own benefits and drawbacks.

In this section, we’ll take a look at the different NoSQL database options offered by Google Cloud Platform.

1. Cloud Datastore

Cloud Datastore is a fully managed NoSQL database service offered by Google Cloud Platform.

In addition, Cloud Datastore is designed to be easy to use, scalable, and reliable.

Cloud Datastore is a good choice for applications that need high performance and availability.

See pricing here

2. Cloud Firestore

Cloud Firestore is a document-oriented database storing key-value pairs.

Cloud Firestore is designed to be easy to use, scalable, and reliable.

In short, Cloud Firestore is a good choice for applications that need high performance and availability.

Finally, Cloud Firestore is also a good choice for applications that need to be able to scale quickly and easily.

See pricing here

3. Cloud Bigtable

Cloud Bigtable is an alternative to HBase, a columnar database system executing on HDFS.

Cloud Bigtable is designed to be fast, scalable, and reliable.

Cloud Bigtable is a good choice for applications that need high performance and availability.

See pricing here

4. Cloud Spanner

Cloud Spanner is designed to be scalable, reliable, and ACID-compliant.

This is a good choice for applications that need high performance and availability.

In short, Cloud Spanner is also a good choice for applications that need ACID compliance.

See pricing here

Pricing and Support for Google Cloud Platform’s NoSQL Databases

Google Cloud Platform offers a number of different pricing options for its NoSQL databases.

For most applications, the pay-as-you-go pricing model will be the best option. Under this pricing model, you pay for the resources that you use.

This means that you only pay for what you use, and you don’t have to worry about overage charges. 

Google Cloud Platform also offers a flat-rate pricing model for its NoSQL databases. Under this pricing model, you pay a fixed monthly fee for a certain amount of resources.

This means that you don’t have to worry about overage charges, but you may end up paying more than you need to if you don’t use all of the resources that you’re paying for.

Google Cloud Platform offers support for its NoSQL databases through its online support portal and provides a number of resources to help you get started with its NoSQL databases, including tutorials, documentation, and community forums.

Conclusion

If you’re interested in using a NoSQL database on Google Cloud Platform, we recommend that you start by familiarizing yourself with the different options that are available.

Once you’ve done that, you can start exploring the documentation and tutorials to see which option is best for your needs.

If you have any questions, you can always reach out to Google Support for help.

If you’re interested in starting with connecting all your favorite tools, check out the RestApp website or try it for free with a sample dataset.

Discover the next-gen end-to-end data pipeline platform with our built-in No Code SQL, Python and NoSQL functions. Data modeling has never been easier and safer thanks to the No Code revolution, so you can simply create your data pipelines with drag-and-drop functions and stop wasting your time by coding what can now be done in minutes! 

Play Video about Analytics Engineers - Data Pipeline Feature - #1

Discover Data modeling without code with our 14-day free trial!

Category

Share

Subscribe to our newsletter

Laurent Mauer
Laurent Mauer
Laurent is the head of engineer at RestApp. He is a multi-disciplinary engineer with experience across many industries, technologies and responsibilities. Laurent is at the heart of our data platform.

Related articles

Build better data pipelines

With RestApp, be your team’s data hero by activating insights from raw data sources.