Software Alternatives, Accelerators & Startups

Google BigQuery VS Simple Scraper

Compare Google BigQuery VS Simple Scraper 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.

Simple Scraper logo Simple Scraper

Extract data from any website in seconds โ€” download instantly, scrape in the cloud, or create an API.
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • Simple Scraper Landing page
    Landing page //
    2023-08-29

Simple scraper is the easiest way to scrape the web โ€” turn any website into an API in seconds and use ready-made scraping recipes to scrape popular sites with ease.

Simple Scraper

$ Details
freemium $30.0 / Monthly (6,000 credits)
Release Date
2019 November

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.

Simple Scraper features and specs

  • Ease of Use
    SimpleScraper offers a user-friendly interface that allows even those without technical knowledge to easily extract data from websites.
  • Speed
    The tool allows for fast data extraction, reducing the time needed to gather information manually.
  • Automation
    Users can set up automated scraping tasks to run at regular intervals, which is useful for keeping data up-to-date without manual intervention.
  • API Access
    SimpleScraper provides API access, allowing developers to integrate scraping functionality into their own applications seamlessly.
  • Browser Extension
    The tool offers a browser extension, making it convenient to set up scraping tasks directly from the browser.

Possible disadvantages of Simple Scraper

  • Cost
    Advanced features and higher usage limits come with a subscription fee, which may not be feasible for all users.
  • Website Restrictions
    Some websites employ measures to prevent scraping, which may limit the effectiveness of SimpleScraper on such sites.
  • Data Quality
    Automated scraping can sometimes result in incomplete or inaccurate data, requiring manual verification.
  • Learning Curve
    Though designed to be user-friendly, there can still be a learning curve for those completely new to web scraping.
  • Resource Intensive
    Running multiple or complex scraping tasks can be resource-intensive and may affect the performance of your system.

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 Simple Scraper

Overall verdict

  • Overall, Simple Scraper is a reliable and effective web scraping tool that balances ease of use with powerful features. It is well-suited for both beginners and experienced users seeking a quick and straightforward solution for extracting data from the web.

Why this product is good

  • Simple Scraper is considered a good tool primarily due to its combination of user-friendly design and robust functionality. It allows users without extensive technical skills to easily scrape data from websites with its visual point-and-click interface. Additionally, it offers features like scheduling, API access, and integration options that cater to more advanced use cases. The platform's flexibility and efficiency make it a suitable choice for many data scraping projects.

Recommended for

  • Individuals or businesses looking for a no-code solution to web scraping.
  • Marketers and researchers needing to extract and analyze web data.
  • Developers who want an API-accessible scraping solution.
  • Users who require scheduling capabilities to automate the data collection process.

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

Simple Scraper videos

Super Simple Scraper Review

More videos:

  • Review - Super Simple Scraper RevieW
  • Review - Scraping with Simple Scraper in under 30 seconds

Category Popularity

0-100% (relative to Google BigQuery and Simple Scraper)
Data Dashboard
100 100%
0% 0
Web Scraping
0 0%
100% 100
Big Data
100 100%
0% 0
Data Extraction
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 Simple Scraper

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

Simple Scraper Reviews

We have no reviews of Simple Scraper yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Google BigQuery should be more popular than Simple Scraper. It has been mentiond 47 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 (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

Simple Scraper mentions (22)

  • Ask HN: What Are You Working On? (March 2026)
    Data extraction: https://simplescraper.io A project that I launched on HN that became a business. Simplescraper rode the no-code wave of a few years back ('instant structured data without parsing html'). Now working on increasing the surface area for AI agents: MCP support, screenshots API, and (experimentally) x402^ ^ https://simplescraper.io/blog/x402-payment-protocol/. - Source: Hacker News / 5 months ago
  • Scraperr โ€“ A Self Hosted Webscraper
    1. Clicking the box programmatically โ€“ possible but inconsistent 2. Outsourcing the task to one of the many CAPTCHA-solving services (2Captcha etc) โ€“ better 3. Using a pool of reliable IP addresses so you don't encounter checkboxes or turnstiles โ€“ best I run a web scraping startup (https://simplescraper.io) and this is usually the approach. It has become more difficult, and I think a lot of the AI crawlers are... - Source: Hacker News / about 1 year ago
  • Ask HN: What Are You Working On? (October 2024)
    Making my data extraction Saas (https://simplescraper.io) more LLM friendly. Markdown extraction, improved Google search, workflows - search for this terms, visit the first N links, summarize etc. Big demand for (or rather, expectation of) this lately. - Source: Hacker News / almost 2 years ago
  • The Architecture Behind a One-Person Tech Startup
    Things are much easier for one-person startups these daysโ€”it's a gift. I remember building a todo app as my first SaaS project, and choosing something called Stormpath for authentication. It subsequently shut down, forcing me to do a last-minute migration from a hostel in Japan using Nitrous Cloud IDE (which also shut down). Just pain upon pain.[1] Now, you can just pick a full-stack cloud service and run with it.... - Source: Hacker News / about 2 years ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Simplescraper โ€” Trigger your webhook after each operation. The free plan includes 100 cloud scrape credits. - Source: dev.to / over 2 years ago
View more

What are some alternatives?

When comparing Google BigQuery and Simple Scraper, 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?

Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.

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.

Diggernaut - Web scraping is just became easy. Extract any website content and turn it into datasets. No programming skills required.

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.

Scraper API - Scale Data Collection with a Simple API.