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Google BigQuery VS Square

Compare Google BigQuery VS Square and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Google BigQuery logo Google BigQuery

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

Square logo Square

Square helps millions of sellers run their business-from secure credit card processing to point of sale solutions. Get paid faster with Square. Sign up today!
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • Square Homepage
    Homepage //
    2024-05-06

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.

Square features and specs

  • Ease of Use
    Square's platform is known for being user-friendly and easy to set up, making it accessible for small business owners with little technical expertise.
  • Transparent Pricing
    Square offers straightforward, flat-rate pricing with no hidden fees, which helps businesses understand their costs upfront.
  • Integrated Solutions
    Square provides a comprehensive suite of tools including POS systems, online store, invoicing, payroll, and more, enabling seamless business operations.
  • No Long-Term Contracts
    Square does not require long-term contracts or commitments, allowing businesses flexibility in choosing their service provider.
  • Omnichannel Capabilities
    Square supports sales across various channels, including in-person, online, and mobile, offering versatility for different business models.
  • Next-Day Deposits
    Square offers next-day deposits, ensuring that businesses have quick access to their funds, which is critical for cash flow management.

Possible disadvantages of Square

  • Processing Fees
    While the pricing is transparent, the fees per transaction can add up, especially for businesses with high sales volumes or low margins.
  • Account Stability
    Some users have reported sudden holds or terminations of their Square accounts, which can disrupt business operations.
  • Limited Customer Support
    Square's customer support can be limited, particularly for smaller businesses or during high-demand periods, which can affect issue resolution time.
  • Additional Costs for Advanced Features
    Some advanced features and integrations may incur additional costs, making it more expensive for businesses that need these functionalities.
  • Geographic Limitations
    Square is primarily available in certain countries, which may be restrictive for businesses with international operations or customers.

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

Analysis of Square

Overall verdict

  • Yes, Square is generally considered a good choice for businesses looking for an all-in-one payment and business management solution. It is particularly praised for its user-friendly interface, competitive pricing, and reliable customer support.

Why this product is good

  • Square, known for its point of sale solutions, has built a strong reputation for its ease of use, transparent pricing, and comprehensive features suited for small to medium-sized businesses. It offers seamless integration with various hardware, software, and payment processing services, which are particularly appreciated by users who want a straightforward setup. The platform also provides useful analytics, invoicing, and inventory management features that help businesses efficiently manage their operations.

Recommended for

    Square is recommended for small to medium-sized businesses, especially in the retail, food and beverage, and service industries, who need a versatile and scalable payment processing and business management solution. It is particularly beneficial for those who prefer a cloud-based service with seamless integration across multiple devices.

Google BigQuery videos

+ Add

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

Square videos

+ Add

Square vs PayPal 2020: A Side by Side Comparison

More videos:

  • Demo - Square Mobile Credit Card Reader Review | Squareup Demo | Pros & Cons
  • Review - I switched from Square to Paymentech. IMO, Squareup merchant services is garbage.
  • Review - What is Square - Square Review - Square Pricing Plans Explained
  • Review - 6 days left to dump Square merchant services before they begin screwing small businesses
  • Review - Square Eftpos Terminal Review 2023
  • Review - Square Review | Is It the BEST POS System for Online Payments & Invoicing?
  • Review - Square For Small Business: Is Square Right For You? [Square Explained]

Category Popularity

0-100% (relative to Google BigQuery and Square)

Google BigQuery

Square

Data Dashboard
100 100%
Data Dashboard
0% 0
Payments Processing
0 0%
Payments Processing
100% 100
Big Data
100 100%
Big Data
0% 0
Payment Platform
0 0%
Payment Platform
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 Square

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...
Source: www.shipyardapp.com
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

Square Reviews

The 8 Best Payment Processing Systems
If your business needs to process payments in person, Square has handy point-of-sale features like a contactless chip reader, magstripe reader, and convertible stand. All these components let you take payments directly from your smartphone. The system connects with your online business presence as well for seamless transactions. Card payments will always be more expensive,...
Source: gocardless.com
11 Alternatives to QuickBooks in 2024
If your business mainly processes card payments in-person in a retail setting, needs a few basic business tools like inventory tracking and sales reports, and is looking for something that seamlessly integrates with an ecommerce presence, Square is for you. Itโ€™s built for small retail and ecommerce businesses that are just starting out and looking for a lost-cost, low-risk,...
Source: www.bench.co
What to Use Instead of PayPal? 10 Best PayPal Alternatives
Square is another big name in retail payments and for a good reason. The easy-to-use platform lets you accept payments online or in-store. There are also useful available features such as invoices, contactless payments, point of sale, and eCommerce. Any extra features you add will be accessed via the same dashboard, letting you stay organised. Additionally, Square is...
Source: www.podium.com.au
The 6 best online payment processing services in 2024
Most of Square's features are free to use, but if you want to unlock more for your store and checkout experience, there are two subscription plans available. The highest one, Premium ($79/month), even lowers the transaction fee to 2.6% + $0.30 (from 2.9% + $0.30), so if you end up setting up shop with Square and start selling a lot, it may make sense to upgrade.
Source: zapier.com
POS: Best Point of Sale System Software for Small businesses
It may be used on tablets, smartphones, and Apple and Android devices. It is applicable to all business types, including bakeries. The business offers Square POS support around-the-clock.
Source: qpe.co.in

Social recommendations and mentions

Google BigQuery might be a bit more popular than Square. We know about 47 links to it since March 2021 and only 41 links to Square. 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 / 5 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 / 7 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 / 9 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

Square mentions (41)

  • Advertisement - Help Finding a Global Entry Appointment
    This is an advertisement and I want to provide all the details.. I am a software developer and avid traveler. I own this website and am the sole developer who wrote the entire software! This idea came about when I signed up for Global Entry and then couldn't get an enrollment interview. I offer a 100% Money Back Guarantee (https://globalentrytextalerts.com/moneyBack) if someone doesn't feel satisfied. The website... Source: about 3 years ago
  • How common is card/contactless payment?
    And now with Square it's dirt simple to accept credit card transactions, and the software even integrates into the NFC transceiver in modern iPhones--so even street vendors and local artists accept contactless payment cards. Source: over 3 years ago
  • FREE GAME ๐Ÿ’ณ๐Ÿ’ฐ๐Ÿ’ฐ
    Https://squareup.com/us/en - Better with aged account and/or verified business. Do custom amount charges on phone and type in card info manually. Source: over 3 years ago
  • Art Market Question: $$$
    I've seen this one quite a bit here: https://squareup.com/us/en. Source: almost 4 years ago
  • Squarespace Tutorial: Learn How to Build a Squarespace Website in 2022
    Squarespace supports several payment gateways, including Stripe, PayPal Business, and Square (for US point of sale transactions). - Source: dev.to / almost 4 years ago
View more

What are some alternatives?

When comparing Google BigQuery and Square, 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?

Lightspeed - Retail point-of-sale, inventory management, and omnichannel payment processing systems.

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.

Toast - Built to make restaurants better. Toast gives your restaurant the technology you need to succeed in today's fast-paced environment.

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.

Odoo - An all-integrated business app suite to unleash your growth potential.

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