Software Alternatives & Reviews

Roboflow Universe VS Qubole

Compare Roboflow Universe VS Qubole and see what are their differences

Roboflow Universe logo Roboflow Universe

You no longer need to collect and label images or train a ML model to add computer vision to your project.

Qubole logo Qubole

Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
  • Roboflow Universe Landing page
    Landing page //
    2022-12-11
  • Qubole Landing page
    Landing page //
    2023-06-22

Roboflow Universe videos

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Qubole videos

Fast and Cost Effective Machine Learning Deployment with S3, Qubole, and Spark

More videos:

  • Review - Migrating Big Data to the Cloud: WANdisco, GigaOM and Qubole
  • Review - Democratizing Data with Qubole

Category Popularity

0-100% (relative to Roboflow Universe and Qubole)
Developer Tools
100 100%
0% 0
Data Dashboard
0 0%
100% 100
AI
100 100%
0% 0
Big Data
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Roboflow Universe seems to be more popular. It has been mentiond 18 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.

Roboflow Universe mentions (18)

  • Show HN: Pip install inference, open source computer vision deployment
    It’s an easy to use inference server for computer vision models. The end result is a Docker container that serves a standardized API as a microservice that your application uses to get predictions from computer vision models (though there is also a native Python interface). It’s backed by a bunch of component pieces: * a server (so you don’t have to reimplement things like image processing & prediction... - Source: Hacker News / 8 months ago
  • Open discussion and useful links people trying to do Object Detection
    * Most of the time I find Roboflow extremely handy, I used it to merge datasets, augmentate, read tutorials and that kind of thing. Basically you just create your dataset with roboflow and focus on other aspects. Source: about 1 year ago
  • TensorFlow Datasets (TFDS): a collection of ready-to-use datasets
    For computer vision, there are 100k+ open source classification, object detection, and segmentation datasets available on Roboflow Universe: https://universe.roboflow.com. - Source: Hacker News / over 1 year ago
  • Ask HN: Who is hiring? (December 2022)
    Roboflow | Multiple Roles | Full-time (Remote) | https://roboflow.com/careers?ref=whoishiring1222 Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform[1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment. Over 100k engineers (including engineers from 2/3... - Source: Hacker News / over 1 year ago
  • Please suggest resources to learn how to work with pre-trained CV models
    Solid website and app overall for learning more about computer vision, discovering datasets, and keeping up with advancements in the field: * https://roboflow.com/learn * https://universe.roboflow.com (datasets) | https://blog.roboflow.com/computer-vision-datasets-and-apis/ * https://blog.roboflow.com. Source: over 1 year ago
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Qubole mentions (0)

We have not tracked any mentions of Qubole yet. Tracking of Qubole recommendations started around Mar 2021.

What are some alternatives?

When comparing Roboflow Universe and Qubole, you can also consider the following products

TensorFlow Lite - Low-latency inference of on-device ML models

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

Apple Core ML - Integrate a broad variety of ML model types into your app

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

Aquarium - Improve ML models by improving datasets they’re trained on

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.