
Databricks
Looker
Jupyter
Presto DB
Amazon EMR
Google Cloud Dataflow
Rakam
A fully managed data warehouse for large-scale data analytics.

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

Which is more popular?
Based on our record, Google BigQuery seems to be more popular. It has been mentioned 47 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | cloud.google.com | createfilesplus.com |
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| Company | — | Startup from the United States · 1 - 9 employees · 2026 |
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In their own words, as submitted to SaaSHub.


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...
What each product offers, as listed by its team.


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


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Cloud Dataprep Tutorial - Getting Started 101
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Google BigQuery and CreateFiles+.
CreateFiles+'s answer:
Xcode and Swift
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.
CreateFiles+'s answer:
I am not familiar with any competitors doing this today.
CreateFiles+'s answer:
Power Users, Developers, Productivity focused users, students, teachers, creators.
CreateFiles+'s answer:
Its brand new so that is yet to be determined.
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.
Share your experience with using Google BigQuery and CreateFiles+. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Processing typeDescriptionUse casesCommon databasesProcessing typesProcesses data in scheduled intervals (hours, days). High-latency but cost-efficient for large datasets.Financial reporting, trend analysis,...
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...
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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Recommendations tracked on public social media and blogs since March 2021.


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 — we initially moved too aggressively and actually reverted some queries... - Source: dev.to / 6 months ago
Google BigQuery - For large-scale data processing and SQL-based analysis. - Source: dev.to / 7 months ago
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... - Source: dev.to / 8 months ago
Tracking CreateFiles+ since Jun 2026.
When comparing Google BigQuery and CreateFiles+, you can also consider the following products.

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
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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.
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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.
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Distributed SQL Query Engine for Big Data (by Facebook)
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Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Compare Amazon EMR to Google BigQuery or CreateFiles+:

Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Compare Google Cloud Dataflow to Google BigQuery or CreateFiles+: