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Google BigQuery VS Amazon

Compare Google BigQuery VS Amazon and see what are their differences

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Google BigQuery logo Google BigQuery

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

Amazon logo Amazon

Online shopping from the earth's biggest selection of books, magazines, music, DVDs, videos, electronics, computers, software, apparel & accessories, shoes, jewelry, tools & hardware, housewares, furniture, sporting goods, beauty & much more
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • Amazon Landing page
    Landing page //
    2023-07-20

Google BigQuery features and specs

  • Scalability
    BigQuery can effortlessly scale to handle large volumes of data due to its serverless architecture, thereby reducing the operational overhead of managing infrastructure.
  • Speed
    It leverages Google's infrastructure to provide high-speed data processing, making it possible to run complex queries on massive datasets in a matter of seconds.
  • Integrations
    BigQuery easily integrates with various Google Cloud Platform services, as well as other popular data tools like Looker, Tableau, and Power BI.
  • Automatic Optimization
    Features like automatic data partitioning and clustering help to optimize query performance without requiring manual tuning.
  • Security
    BigQuery provides robust security features including IAM roles, customer-managed encryption keys, and detailed audit logging.
  • Cost Efficiency
    The pricing model is based on the amount of data processed, which can be cost-effective for many use cases when compared to traditional data warehouses.
  • Managed Service
    Being fully managed, BigQuery takes care of database administration tasks such as scaling, backups, and patch management, allowing users to focus on their data and queries.

Possible disadvantages of Google BigQuery

  • Cost Predictability
    While the pay-per-use model can be cost-efficient, it can also make cost forecasting difficult. Unexpected large queries could lead to higher-than-anticipated costs.
  • Complexity
    The learning curve can be steep for those who are not already familiar with SQL or Google Cloud Platform, potentially requiring training and education.
  • Limited Updates
    BigQuery is optimized for read-heavy operations, and it can be less efficient for scenarios that require frequent updates or deletions of data.
  • Query Pricing
    Costs are based on the amount of data processed by each query, which may not be suitable for use cases that require frequent analysis of large datasets.
  • Data Transfer Costs
    While internal data movement within Google Cloud can be cost-effective, transferring data to or from other services or on-premises systems can incur additional costs.
  • Dependency on Google Cloud
    Organizations heavily invested in multi-cloud or hybrid-cloud strategies may find the dependency on Google Cloud limiting.
  • Cold Data Performance
    Query performance might be slower for so-called 'cold data,' or data that has not been queried recently, affecting the responsiveness for some workloads.

Amazon features and specs

  • Wide Product Variety
    Amazon offers a vast range of products, from electronics and books to clothing and household items, making it a one-stop-shop for many consumers.
  • Convenience
    Users can shop from the comfort of their homes at any time of the day, avoiding the need to visit physical stores.
  • Customer Reviews
    Amazon features extensive customer reviews, providing valuable insights and helping buyers make informed purchasing decisions.
  • Fast Shipping
    With services like Amazon Prime, customers can enjoy expedited shipping options, often receiving their orders within one or two days.
  • Reliable Return Policy
    Amazon's straightforward return process allows customers to return products if they are unsatisfied, enhancing the overall shopping experience.

Possible disadvantages of Amazon

  • Market Dominance
    Amazon's significant market presence can stifle competition, potentially harming small retailers and leading to a less diverse market.
  • Labor Practices
    Amazon has faced criticism over working conditions in its warehouses, raising ethical concerns about labor practices.
  • Data Privacy
    The vast amount of customer data Amazon collects can raise privacy concerns, especially if the data is misused or inadequately protected.
  • Counterfeit Products
    Despite efforts to combat this issue, counterfeit products can sometimes be found on Amazon, leading to dissatisfaction and loss of trust among consumers.
  • Environmental Impact
    The packaging waste and carbon footprint associated with Amazon's extensive delivery network can have negative environmental effects.

Analysis of Google BigQuery

Overall verdict

  • Google BigQuery is a powerful and flexible data warehouse solution that suits a wide range of data analytics needs. Its ability to handle large volumes of data quickly makes it a preferred choice for organizations looking to leverage their data effectively.

Why this product is good

  • Google BigQuery is a fully-managed data warehouse that simplifies the analysis of large datasets. It is known for its scalability, speed, and integration with other Google Cloud services. It supports standard SQL, has built-in machine learning capabilities, and allows for seamless data integration from various sources. The serverless architecture means that users don't need to worry about infrastructure management, and its pay-as-you-go model provides cost efficiency.

Recommended for

  • Businesses requiring fast processing of large datasets
  • Organizations that already utilize Google Cloud services
  • Companies looking for a cost-effective, scalable analytics solution
  • Teams interested in using SQL for data analysis
  • Data scientists integrating machine learning with their data workflows

Google BigQuery videos

Cloud Dataprep Tutorial - Getting Started 101

More videos:

  • Review - Advanced Data Cleanup Techniques using Cloud Dataprep (Cloud Next '19)
  • Demo - Google Cloud Dataprep Premium product demo

Amazon videos

10 Best TOP-RATED Amazon Products YOU NEED!

More videos:

  • Review - I Bought 10 Products With The FUNNIEST Amazon Reviews!
  • Review - AMAZON REVIEWS
  • Review - The Disturbing Case of the Amazon Review Killer
  • Review - The Amazon Review Scandal
  • Review - The Wildest Amazon Reviews Ever Written

Category Popularity

0-100% (relative to Google BigQuery and Amazon)
Data Dashboard
100 100%
0% 0
eCommerce
0 0%
100% 100
Big Data
100 100%
0% 0
eCommerce Platform
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

Google BigQuery Reviews

Database for Data Analytics
Processing typeDescriptionUse casesCommon databasesProcessing typesProcesses data in scheduled intervals (hours, days). High-latency but cost-efficient for large datasets.Financial reporting, trend analysis, historical analyticsSnowflake, Amazon Redshift, Google BigQueryContinuously ingests and processes data with minimal latency for real-time decision-making.Fraud...
Source: blog.devart.com
Data Warehouse Tools
Google BigQuery: Similar to Snowflake, BigQuery offers a pay-per-use model with separate charges for storage and queries. Storage costs start around $0.01 per GB per month, while on-demand queries are billed at $5 per TB processed.
Source: peliqan.io
Top 6 Cloud Data Warehouses in 2023
You can also use BigQueryโ€™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 โ€œheavyโ€ queries that operate using a large set of data. This means itโ€™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

Amazon Reviews

  1. CatherineColins
    ยท HR at CODESY ยท
    Just a okay experience

    Registration process is really hectic though once registered everything is smooth as expected. Huge collection of products but the shipping fees are high and taxes. Amazon should definitely change their UX its getting dull now. Customer support is on point but the sellers should be accounted for as i have been getting wrong products and seller starts ghosting, amazon helped me a lot anyways. I hope these will be heard

    ๐Ÿ‘ Pros:    Best customer service
    ๐Ÿ‘Ž Cons:    Reseller features
  2. I will like it and I also recommend others to follow this platform. But there is no direct relationship with customers, high operating costs and no control over the refund policy

    ๐Ÿ Competitors: eBay
    ๐Ÿ‘ Pros:    Best customer support|best ui experience|easy to order and tracking
  3. Mohit Gupta
    ยท Small Business Owner at SmokeHub ยท
    Nice shopping experience with Amazon

    Amazon has best shopping experience with us. Everything in this platform is very nice. It provides best shopping experience in India, has provides biggest selections of products, books, software reach and shows best movies, latest podcasts music and everything is nice for us. I like Amazon and also refer others to follow that platform. But there is no direct customer relationship, has high operations cost and there is no control over return policies.

    ๐Ÿ Competitors: Flipkart, Myntra, Alibaba, eBay
    ๐Ÿ‘ Pros:    Best online shopping app in india|Best customer support|Best ui experience|Easy to order and tracking
    ๐Ÿ‘Ž Cons:    No control over return policies|No direct customer relationship|High operation costs|No opportunity for branding

25 Best Sites Like eBay To Sell and Buy Stuff in 2022
If you choose FBA, you send your products to an Amazon fulfillment center, and they take care of the rest: picking, packing, shipping, and customer service.
Top 5 Trusted B2B Marketplaces of India in 2022
Amazon established Amazon Business in 2015; This marketplace is targeting to enterprises in education, healthcare, hospitality, and various other industries to fulfil their wholesale buying requirements. It offers purchasing solutions for any size of a registered business.
Best eBay Alternatives for You to Consider in 2022
Being known as one of the worldโ€™s most visited websites, Amazon has massively expanded its products, from selling books only to providing millions of items across a wide range of product categories. Similar to eBay, Amazon has accumulated a massive customer base as the wide product range has attracted millions of visitors to this site every day. However, remember that this...
15+ Best eBay Alternatives to Try in 2022
Amazon provides a massive customer base which can turn out to be a boon for your business. But remember that the unmatched customer base also warrants higher fees and fierce competition. Unlike eBay, Amazon is fully retail setup, which plays an essential role in expediting sales with fixed prices.
Running Out of Room in Dropbox? Here are 11 Dropbox Alternatives That Offer WAY More Free Cloud Storage
One nice feature of Amazon cloud is that pictures that are taken with a phone can be saved there and can still be accessed once the picture is deleted from the phone. Amazon Cloud also has an automatic back-up feature that saves pictures in the cloud so they are safe even if the phone is lost or damaged.

Social recommendations and mentions

Based on our record, Amazon seems to be a lot more popular than Google BigQuery. While we know about 2907 links to Amazon, we've tracked only 47 mentions of Google BigQuery. 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 (47)

  • Ruby on Rails Performance: 7 Lessons from Scaling FirstPromoter
    We migrated the analytics layer to Google BigQuery. Same queries that timed out in PostgreSQL now run in under 2 seconds. But not everything belongs in BigQuery โ€” we initially moved too aggressively and actually reverted some queries back when the added complexity wasn't justified. Our rule of thumb: if a query scans hundreds of thousands of rows or involves complex time-series aggregations, BigQuery. Everything... - Source: dev.to / 4 months ago
  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Google BigQuery - For large-scale data processing and SQL-based analysis. - Source: dev.to / 5 months ago
  • What if ML pipelines had a lock file?
    Data Pipelines usually read from tables that change over time. Most of these tables are stored in a data warehouse like Amazon Redshift or Google BigQuery. Rows are added or removed. Backfills happen. A column gets renamed or its meaning changes. Even when teams snapshot data, those snapshots are often implicit, not recorded as part of the pipeline run itself. - Source: dev.to / 6 months ago
  • Best SQL Courses with Certificates for 2026
    SQL endures because it's the non-negotiable interface for relational data. Enterprise data storage still relies heavily on relational databases despite new alternatives. What makes SQL valuable for learners is transferabilityโ€”while dialects differ across PostgreSQL, SQL Server, and BigQuery, the fundamentals stay consistent. - Source: dev.to / 8 months ago
  • Why Your Snowflake Bill is High and How to Fix It with a Hybrid Approach
    Within classic cloud data warehouses, Google BigQuery presents a different pricing model. Its on-demand, per-terabyte-scanned pricing can be cost-effective for sporadic forensic queries. But it carries the risk of a runaway query where a single mistake leads to a massive bill. - Source: dev.to / 9 months ago
View more

Amazon mentions (2907)

  • I solved a 5 year old bug
    To reproduce the bug locally, I had to visit https://amazon.com multiple times (up to 20 times) on my local PC so that I can get amazon.com to show up naturally on my New Tab page. - Source: dev.to / 19 days ago
  • Why Your Browser Can't Use Multicast (And What Would Have to Change)
    Suppose one million users visit https://amazon.com at the same moment. Each of them gets:. - Source: dev.to / 27 days ago
  • AWS Waddles: What the Duck?
    For over a decade, there's been a tiny ASCII duck hiding in plain sight. Open the page source for amazon.com, scroll all the way to the bottom, and there it is, surfing the web and quietly meowing at anyone who looks. - Source: dev.to / 3 months ago
  • Selenium - A heart hunter technology along with python framework
    Test Scripts written by us write a program say for example: -Open chrome browser -Enter url https://amazon.com -Navigate to login page -Enter UserName. - Source: dev.to / 9 months ago
  • Major AWS Outage Happening
    Can't log into https://amazon.com either after logging out; so many downstream issues. - Source: Hacker News / 10 months ago
View more

What are some alternatives?

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

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

eBay - Buy and sell electronics, cars, fashion apparel, collectibles, sporting goods, digital cameras, baby items, coupons, and everything else on eBay, the world's online marketplace

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

Walmart - Find quality products at unbeatable prices at home, in our stores or on the go.

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.

Etsy - Buy and sell handmade or vintage items, art and supplies on Etsy, the worlds most vibrant handmade...