Software Alternatives & Reviews

Google BigQuery VS Amazon S3

Compare Google BigQuery VS Amazon S3 and see what are their differences

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.

Amazon S3 logo Amazon S3

Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • Amazon S3 Landing page
    Landing page //
    2021-11-01

Amazon S3 (Amazon Simple Storage Service) is the storage platform by Amazon Web Services (AWS) that provides an object storage with high availability, low latency and high durability. S3 can store any type of object and can serve as storage for internet applications, backups, disaster recovery, data archives, big data sets and multimedia.

Google BigQuery videos

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Amazon S3 videos

Introduction to Amazon S3

More videos:

  • Review - Getting Started with Amazon S3 - AWS Online Tech Talks

Category Popularity

0-100% (relative to Google BigQuery and Amazon S3)
Data Dashboard
100 100%
0% 0
Cloud Hosting
0 0%
100% 100
Big Data
100 100%
0% 0
Cloud Computing
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Google BigQuery and Amazon S3

Google BigQuery Reviews

Top 6 Cloud Data Warehouses in 2023
You can also use BigQuery’s columnar and ANSI SQL databases to analyze petabytes of data at a fast speed. Its capabilities extend enough to accommodate spatial analysis using SQL and BigQuery GIS. Also, you can quickly create and run machine learning (ML) models on semi or large-scale structured data using simple SQL and BigQuery ML. Also, enjoy a real-time interactive...
Source: geekflare.com
Top 5 Cloud Data Warehouses in 2023
Google BigQuery is an incredible platform for enterprises that want to run complex analytical queries or “heavy” queries that operate using a large set of data. This means it’s not ideal for running queries that are doing simple filtering or aggregation. So if your cloud data warehousing needs lightning-fast performance on a big set of data, Google BigQuery might be a great...
Top 5 BigQuery Alternatives: A Challenge of Complexity
BigQuery's emergence as an attractive analytics and data warehouse platform was a significant win, helping to drive a 45% increase in Google Cloud revenue in the last quarter. The company plans to maintain this momentum by focusing on a multi-cloud future where BigQuery advances the cause of democratized analytics.
Source: blog.panoply.io
16 Top Big Data Analytics Tools You Should Know About
Google BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a Platform as a Service that supports querying using ANSI SQL. It also has built-in machine learning capabilities.

Amazon S3 Reviews

Top 10 Netlify Alternatives
Amazon S3 is referred to as Amazon Simple Storage Service. It is basically a cloud storage service that was initially released in 2006. This product of Amazon Web Services (AWS) handles big data analytics, provides online data backups and helps in web-scale computing.
What are the alternatives to S3?
Sometimes Amazon S3 might not be serving you as you need and need some features or want to move out of the big 3 providers due to charges of which you’re not using much of their services. There are many alternatives to object storage that you can use at a far lower cost than what you pay on Amazon S3. And storing data traditionally can become complicated sometimes, whereby...
Source: www.w6d.io
Wasabi, Storj, Backblaze et al, are promising 80%+ savings compared to Amazon S3... What's the catch?
When you use a Big 3 provider, like Azure Blob Storage or Amazon S3, you’re often paying for reliable storage that a vast swath of enterprises with low-risk tolerance can bet the farm on. Azure has a wide range of options for replication (which has a considerable impact on the reliability of your storage), including LRS (Low Redundancy Storage) if you want to save some cost....
Source: dev.to
16 Top Big Data Analytics Tools You Should Know About
The collected data can be easily integrated with the Amazon family of big data services in storage (Amazon S3), Amazon DynamoDB (the No-SQL database for unstructured data), and Amazon RedShift (data warehouse product).

Social recommendations and mentions

Based on our record, Amazon S3 should be more popular than Google BigQuery. It has been mentiond 170 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 BigQuery mentions (35)

  • Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌
    Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / 8 months ago
  • Modern data stack: scaling people and technology at FINN
    Data Transformations: This phase involves modifying and integrating tables to generate new tables optimized for analytical use. Consider this example: you want to understand the purchasing behavior of customers aged between 20-30 in your online shop. This means you'll need to join product, customer, and transaction data to create a unified table for analytics. These data preparation tasks (e.g., joining... - Source: dev.to / 8 months ago
  • Running Transformations on BigQuery using dbt Cloud: step by step
    Introduction In today's data-driven world, transforming raw data into valuable insights is crucial. This process, however, often involves complex tasks that demand efficiency, scalability, and reliability. Enter dbt Cloud—a powerful tool that simplifies data transformations on Google BigQuery. In this article, we'll take you through a step-by-step guide on how to run BigQuery transformations using dbt Cloud.... - Source: dev.to / 9 months ago
  • Do I need a cloud computing–based data cloud company
    You'll want to evaluate what BigQuery has to offer and see if it makes sense for you to move over. Source: 10 months ago
  • I used ChatGPT to get an Internship
    Watch the introductory videos on BigQuery on the Google Cloud Platform website (https://cloud.google.com/bigquery). Source: 10 months ago
View more

Amazon S3 mentions (170)

  • Mastering File Upload Security: DoS and Antivirus
    You can find a guide on the AWS blog, detailing how to integrate Amazon S3 Malware Scanning into your web App. Amazon Simple Storage Service (Amazon S3) is a highly scalable object storage service that allows file storage. Currently, when a file is uploaded to an S3 Bucket, two scanning engines are available: Sophos and ClamAV, to detect malicious ones. Additionally, both engines can be used together for an even... - Source: dev.to / about 2 months ago
  • How to Upload Files to Amazon S3 with React and AWS SDK
    Amazon S3 (Simple Storage Service) provides a robust and scalable solution for storing and managing various file types. - Source: dev.to / 2 months ago
  • How to Get Preview Environments for Every Pull Request
    Preevy includes built-in support for saving profiles on AWS S3 and Google Cloud Storage. You can also store the profile on the local filesystem and copy it manually before running Preevy - we won't show this method here. - Source: dev.to / 5 months ago
  • Testing Serverless Applications on AWS
    For context; the web application is built with React and TypeScript which makes calls to an AppSync API that makes use of the Lambda and DynamoDB datasources. We use Step Functions to orchestrate the flow of events for complex processing like purchasing and renewing policies, and we use S3 and SQS to process document workloads. - Source: dev.to / 6 months ago
  • Programmatically reacting to S3 bucket external access exposures
    Zelkova supports multiple AWS services. For example, when we make an S3 bucket public, a red warning badge will appear at the top of the page. This warning comes from Zelkova. - Source: dev.to / 9 months ago
View more

What are some alternatives?

When comparing Google BigQuery and Amazon S3, you can also consider the following products

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

AWS Lambda - Automatic, event-driven compute service

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Minio - Minio is an open-source minimal cloud storage server.