Software Alternatives & Startups

Google BigQuery VS CreateFiles+

Compare Google BigQuery VS CreateFiles+ and see what are their differences

Google BigQuery

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

Rating
0 reviews
Pricing
Open source
CreateFiles+

Create blank files, custom file types, templates, whole batches, and reusable folder setups exactly where you are working on macOS.

Rating
0 reviews
Pricing
Paid Free trial $4.99 / One-off (2 mac licenses with purchase)
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Google BigQuery seems to be more popular. It has been mentioned 47 times since March 2021.

social mentions
47 vs 0
Data Dashboard popularity
100% vs 0%

Base details

Website, pricing, platforms and company facts side by side.

Google BigQuery
CreateFiles+
Website cloud.google.com createfilesplus.com
Pricing
Open source
Paid Free trial $4.99 / One-off (2 mac licenses with purchase) Official pricing
Platforms —
MacOS Mac OSX Mac
Company — Startup from the United States · 1 - 9 employees · 2026
Listed in

About Google BigQuery and CreateFiles+

In their own words, as submitted to SaaSHub.

Google BigQuery
CreateFiles+

No description of Google BigQuery yet.

CreateFiles+ adds the file creation workflow macOS should have had all along. Create a new file exactly where you are working, without opening TextEdit, saving-as, using Terminal, or dragging template files around. Use Finder right-click menus where macOS allows them, or fall back to the Finder...

Read more about CreateFiles+

Features and specs

What each product offers, as listed by its team.

Google BigQuery 7 features
CreateFiles+ 4 features
  • 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

  • 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.
  • Right-click on Finder
    Today finder does not let you create new files just folders. Our tool allows that in the Menu bar, Finder Menu, and in the body of any folder in macOS.
  • Quick file creation
    using the Flywheel to create new file types
  • Creating batch files
    Allows to create new files in batches up to 100 at a time
  • Folder packs
    Come with the app for different use cases and professions allowing the user to create commonly file types.

Analysis

An editorial look at what each product does well and who it suits.

Google BigQuery
CreateFiles+

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

Overall verdict

  • I don't have verified information about CreateFiles+ (createfilesplus.com), as I don't have reliable data on this specific product or service to assess its quality, features, or reputation.

Why this product is good

  • Unable to confirm the legitimacy, functionality, or user reviews of this specific website or tool
  • No verified data available on pricing, features, or customer satisfaction
  • Recommend researching independently through reviews, user forums, and checking domain history before use
  • Consider checking for security certificates, privacy policy, and company transparency

Recommended for

  • Users should conduct their own due diligence before using this service
  • Verify through independent review sites, trust indicators like BBB or Trustpilot if available
  • Check domain age and reputation using tools like WHOIS lookup

Videos

Walkthroughs and reviews on video.

Google BigQuery 3 videos + Add
CreateFiles+ 1 video + Add

Cloud Dataprep Tutorial - Getting Started 101

More videos

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

CreateFiles+ Demo

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Google BigQuery
CreateFiles+
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing Google BigQuery and CreateFiles+.

Which are the primary technologies used for building your product?

CreateFiles+'s answer:

Xcode and Swift

What makes your product unique?

CreateFiles+'s answer:

macOS should have created this feature out of the box but does not exist. Windows users have had this feature for over a decade. I created this to remove that gap for macOS users.

Why should a person choose your product over its competitors?

CreateFiles+'s answer:

I am not familiar with any competitors doing this today.

How would you describe the primary audience of your product?

CreateFiles+'s answer:

Power Users, Developers, Productivity focused users, students, teachers, creators.

Who are some of the biggest customers of your product?

CreateFiles+'s answer:

Its brand new so that is yet to be determined.

What's the story behind your product?

CreateFiles+'s answer:

I have struggled with not having this capability in Finder for years and decided I would fix the problem for me and then see if other users would want the same solution.

User comments

Share your experience with using Google BigQuery and CreateFiles+. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Google BigQuery no reviews yet
CreateFiles+ no reviews yet
  • Database for Data Analytics
    blog.devart.com · Mar 2026

    Processing typeDescriptionUse casesCommon databasesProcessing typesProcesses data in scheduled intervals (hours, days). High-latency but cost-efficient for large datasets.Financial reporting, trend analysis,...

  • Data Warehouse Tools
    peliqan.io · Sep 2024

    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...

  • Top 6 Cloud Data Warehouses in 2023
    geekflare.com · Apr 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...

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We have no reviews of CreateFiles+ yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Google BigQuery 47 mentions
CreateFiles+ 0 mentions

View more

Tracking CreateFiles+ since Jun 2026.

Alternatives to Google BigQuery and CreateFiles+

When comparing Google BigQuery and CreateFiles+, you can also consider the following products.