Software Alternatives & Startups

Google Cloud Dataflow VS CreateFiles+

Compare Google Cloud Dataflow VS CreateFiles+ and see what are their differences

Google Cloud Dataflow

Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Rating
0 reviews
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 Cloud Dataflow seems to be more popular. It has been mentioned 14 times since March 2021.

social mentions
14 vs 0
Big Data popularity
100% vs 0%

Base details

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

Google Cloud Dataflow
CreateFiles+
Website cloud.google.com createfilesplus.com
Pricing —
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 Cloud Dataflow and CreateFiles+

In their own words, as submitted to SaaSHub.

Google Cloud Dataflow
CreateFiles+

No description of Google Cloud Dataflow 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 Cloud Dataflow 8 features
CreateFiles+ 4 features
  • Scalability
    Google Cloud Dataflow can automatically scale up or down depending on your data processing needs, handling massive datasets with ease.
  • Fully Managed
    Dataflow is a fully managed service, which means you don't have to worry about managing the underlying infrastructure.
  • Unified Programming Model
    It provides a single programming model for both batch and streaming data processing using Apache Beam, simplifying the development process.
  • Integration
    Seamlessly integrates with other Google Cloud services like BigQuery, Cloud Storage, and Bigtable.
  • Real-time Analytics
    Supports real-time data processing, enabling quicker insights and facilitating faster decision-making.
  • Cost Efficiency
    Pay-as-you-go pricing model ensures you only pay for resources you actually use, which can be cost-effective.
  • Global Availability
    Cloud Dataflow is available globally, which allows for regionalized data processing.
  • Fault Tolerance
    Built-in fault tolerance mechanisms help ensure uninterrupted data processing.

Possible disadvantages

  • Steep Learning Curve
    The complexity of using Apache Beam and understanding its model can be challenging for beginners.
  • Debugging Difficulties
    Debugging data processing pipelines can be complex and time-consuming, especially for large-scale data flows.
  • Cost Management
    While it can be cost-efficient, the costs can rise quickly if not monitored properly, particularly with real-time data processing.
  • Vendor Lock-in
    Using Google Cloud Dataflow can lead to vendor lock-in, making it challenging to migrate to another cloud provider.
  • Limited Support for Non-Google Services
    While it integrates well within Google Cloud, support for non-Google services may not be as robust.
  • Latency
    There can be some latency in data processing, especially when dealing with high volumes of data.
  • Complexity in Pipeline Design
    Designing pipelines to be efficient and cost-effective can be complex, requiring significant expertise.
  • 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 Cloud Dataflow
CreateFiles+

Overall verdict

  • Google Cloud Dataflow is a strong choice for users who need a flexible and scalable data processing solution. It is particularly well-suited for real-time and large-scale data processing tasks. However, the best choice ultimately depends on your specific requirements, including cost considerations, existing infrastructure, and technical skills.

Why this product is good

  • Google Cloud Dataflow is a fully managed service for stream and batch data processing. It is based on the Apache Beam model, allowing for a unified data processing approach. It is highly scalable, offers robust integration with other Google Cloud services, and provides powerful data processing capabilities. Its serverless nature means that users do not have to worry about infrastructure management, and it dynamically allocates resources based on the data processing needs.

Recommended for

  • Organizations that require real-time data processing.
  • Projects involving complex data transformations.
  • Users who already utilize Google Cloud Platform and need seamless integration with other Google services.
  • Developers and data engineers familiar with Apache Beam or those willing to learn.

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 Cloud Dataflow 3 videos + Add
CreateFiles+ 1 video + Add

Introduction to Google Cloud Dataflow - Course Introduction

More videos

  • - Serverless data processing with Google Cloud Dataflow (Google Cloud Next '17)
  • - Apache Beam and Google Cloud Dataflow

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 Cloud Dataflow
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 Cloud Dataflow 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 Cloud Dataflow 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 Cloud Dataflow no reviews yet
CreateFiles+ no reviews yet
  • Top 8 Apache Airflow Alternatives in 2024
    blog.skyvia.com · Jul 2023

    Google Cloud Dataflow is highly focused on real-time streaming data and batch data processing from web resources, IoT devices, etc. Data gets cleansed and filtered as Dataflow implements Apache Beam to simplify...

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 Cloud Dataflow 14 mentions
CreateFiles+ 0 mentions
  • How do you implement CDC in your organization
    Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if... Source: over 3 years ago
  • Here’s a playlist of 7 hours of music I use to focus when I’m coding/developing. Post yours as well if you also have one!
    This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: almost 4 years ago
  • How are view/listen counts rolled up on something like Spotify/YouTube?
    I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: about 4 years ago

View more

Tracking CreateFiles+ since Jun 2026.

Alternatives to Google Cloud Dataflow and CreateFiles+

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