Google Cloud Bigtable vs Google Cloud Storage

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Google Cloud Bigtable vs Google Cloud Storage: What are the differences?


In this article, we will compare the key differences between Google Cloud Bigtable and Google Cloud Storage. Both services are part of Google Cloud Platform and provide different capabilities for storing and accessing data.

  1. Scalability and Data Model: Google Cloud Bigtable is a NoSQL, wide-column database that can handle large amounts of data and scale horizontally. It is designed for high throughput and low latency, making it suitable for applications that require fast data access. On the other hand, Google Cloud Storage is an object storage service that allows you to store and retrieve any amount of data. It provides a simpler data model compared to Bigtable, making it suitable for storing files and large objects.

  2. Structure and Querying: Bigtable is a key-value store that organizes data into tables composed of rows and columns. It does not support SQL-like querying out of the box but provides a wide range of client libraries for data manipulation. On the other hand, Cloud Storage does not offer a traditional structured data model but provides powerful querying capabilities through its integration with Google Cloud Platform's BigQuery service. BigQuery allows you to run complex SQL queries on data stored in Cloud Storage.

  3. Storage Cost: Bigtable's pricing is based on a combination of storage size and operations performed on the data, such as reads and writes. It offers a more granular pricing model but can be more expensive for high-traffic workloads. Cloud Storage, on the other hand, offers a more affordable storage cost compared to Bigtable and it is billed based on the amount of data stored without any additional charges for operations.

  4. Data Durability and Availability: Both Bigtable and Cloud Storage offer durability by storing data redundantly within a region or across multiple regions. However, Bigtable provides higher availability and lower latency compared to Cloud Storage, making it a better choice for applications that require real-time data access.

  5. Data Access Control: Bigtable offers fine-grained access control through Identity and Access Management (IAM) roles. You can define custom roles and assign them to specific users or service accounts, allowing you to control who can read or modify the data in Bigtable. Cloud Storage also provides access control mechanisms through IAM, but it offers additional options such as bucket policies and signed URLs for granting access to specific objects.

  6. Data Transfer and Integration: Bigtable integrates well with other Google Cloud Platform services, such as Pub/Sub, Dataflow, and BigQuery, allowing you to ingest, process, and analyze data seamlessly. Cloud Storage also provides integration with these services but offers broader compatibility with external systems through its RESTful APIs.

In Summary, Google Cloud Bigtable is a scalable NoSQL database with a wide-column data model, while Google Cloud Storage is an object storage service for storing and retrieving files and large objects. Bigtable offers high throughput and low latency, custom access control, and seamless integration with other Google Cloud services. Cloud Storage provides simpler storage, powerful querying capabilities through BigQuery, more affordable storage costs, and broader compatibility with external systems.

Decisions about Google Cloud Bigtable and Google Cloud Storage

We choose Backblaze B2 because it makes more sense for storing static assets.

We admire Backblaze's customer service & transparency, plus, we trust them to maintain fair business practices - including not raising prices in the future.

Lower storage costs means we can keep more data for longer, and lower bandwidth means cache misses don't cost a ton.

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Gabriel Pa

We offer our customer HIPAA compliant storage. After analyzing the market, we decided to go with Google Storage. The Nodejs API is ok, still not ES6 and can be very confusing to use. For each new customer, we created a different bucket so they can have individual data and not have to worry about data loss. After 1000+ customers we started seeing many problems with the creation of new buckets, with saving or retrieving a new file. Many false positive: the Promise returned ok, but in reality, it failed.

That's why we switched to S3 that just works.

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Pros of Google Cloud Bigtable
Pros of Google Cloud Storage
  • 11
    High performance
  • 9
    Fully managed
  • 5
    High scalability
  • 28
  • 19
  • 14
  • 9
  • 3
  • 1
    More praticlal and easy

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What is Google Cloud Bigtable?

Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail.

What is Google Cloud Storage?

Google Cloud Storage allows world-wide storing and retrieval of any amount of data and at any time. It provides a simple programming interface which enables developers to take advantage of Google's own reliable and fast networking infrastructure to perform data operations in a secure and cost effective manner. If expansion needs arise, developers can benefit from the scalability provided by Google's infrastructure.

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What companies use Google Cloud Bigtable?
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See which teams inside your own company are using Google Cloud Bigtable or Google Cloud Storage.
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What tools integrate with Google Cloud Bigtable?
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What are some alternatives to Google Cloud Bigtable and Google Cloud Storage?
Google Cloud Datastore
Use a managed, NoSQL, schemaless database for storing non-relational data. Cloud Datastore automatically scales as you need it and supports transactions as well as robust, SQL-like queries.
Microsoft Access
It is an easy-to-use tool for creating business applications, from templates or from scratch. With its rich and intuitive design tools, it can help you create appealing and highly functional applications in a minimal amount of time.
Google Cloud Spanner
It is a globally distributed database service that gives developers a production-ready storage solution. It provides key features such as global transactions, strongly consistent reads, and automatic multi-site replication and failover.
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Google Cloud SQL
Run the same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management.
See all alternatives