Software Alternatives, Accelerators & Startups

Bugout VS DataBloom AI

Compare Bugout VS DataBloom AI and see what are their differences

Bugout logo Bugout

Mixpanel for developer tools

DataBloom AI logo DataBloom AI

Empowering Data, Elevating Decisions: Blossom Sky.
  • Bugout Landing page
    Landing page //
    2022-01-18
  • DataBloom AI Landing page
    Landing page //
    2023-08-14

DataBloom AI is a leading contributor to Apache Wayang, developing "Blossom Sky," an AI-focused virtual data lakehouse platform that enables federated data access on the edge in order to train AI models directly at the source, uniquely combining the advantages of data lakes with data meshes.

Bugout

Website
bugout.dev
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

DataBloom AI

$ Details
freemium €89.0 / Monthly (10 Users)
Platforms
Cross Platform Cloud AWS Azure GCP Alibaba IBM Cloud
Release Date
2022 February

Bugout features and specs

No features have been listed yet.

DataBloom AI features and specs

  • Data Access: Yes
  • Federated Data Processing: Yes
  • Data Regulation Management: Yes
  • Freemium: Yes
  • Open Source: Yes

Bugout videos

I Was WRONG About The Benchmade Bugout - 6 Year Later Review

More videos:

  • Review - Benchmade Bugout Long Term Review!
  • Review - The Benchmade Bugout Pocketknife: The Full Nick Shabazz Review

DataBloom AI videos

Revolutionizing Financial Data Flow: Blossom Sky's Solution to Data Silos.

More videos:

  • Review - What is the Blossom Sky Virtual Data Lakehouse?

Category Popularity

0-100% (relative to Bugout and DataBloom AI)
Developer Tools
77 77%
23% 23
Project Management
0 0%
100% 100
Productivity
100 100%
0% 0
SaaS
0 0%
100% 100

User comments

Share your experience with using Bugout and DataBloom AI. For example, how are they different and which one is better?
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Social recommendations and mentions

Bugout might be a bit more popular than DataBloom AI. We know about 4 links to it since March 2021 and only 3 links to DataBloom AI. 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.

Bugout mentions (4)

  • Serverless file storage with AWS Lambda
    To avoid adding an extra table to the database, which we would need for storing which image belongs to which entry, we will use resources from Bugout.dev. This approach is used to simplify our infrastructure, but, if required, this step can be substituted for creating a new table in your database and writing an API for creating, modifying, and deleting data about the stored images. Bugout.dev is open source and... - Source: dev.to / over 2 years ago
  • See the errors your users are experiencing. From your IDE. Live.
    Once you set up an integration and instrument your code, you can access your user reports at https://bugout.dev. This gives you a live view of what your users are experiencing:. - Source: dev.to / about 3 years ago
  • Crash reports and usage metrics for JavaScript libraries
    At Bugout.dev (https://bugout.dev/) we've built a product that helps maintainers of APIs, libraries, and command line tools understand:. - Source: dev.to / about 3 years ago
  • Feedback on Bugout.dev: Mixpanel for developer tools
    Hi guys, we’ve built Bugout.dev (https://bugout.dev/) for maintains of an API, a library, or a command line tool. Bugout collects usage metrics and crash reports to help you understand what your users experience when they use your software. Source: about 3 years ago

DataBloom AI mentions (3)

  • Python interface in beta
    Databloom.ai has released a dev environment: https://github.com/databloom-ai/BDE/blob/main/readme.md. Source: about 2 years ago
  • The Missing Piece in ML-based Query Optimization
    Blogpost via databloom.ai: Https://engineering.databloom.ai/2022/03/the-missing-piece-in-ml-based-query.html. Source: about 2 years ago
  • Challenges and opportunities towards AI solutions adoption
    Artificial intelligence solutions have been revolutionizing the industry continuously in the last decades. The benefits delivered by these technologies are numerous and diverse; among others you can find: capacity to improve work efficiency, capacity to analyze big datasets, automate infrastructure for easy escalation, enhance customer experience, etc. Nowadays companies are challenging themselves to obtain... Source: about 2 years ago

What are some alternatives?

When comparing Bugout and DataBloom AI, you can also consider the following products

LaunchKit - Open Source - A popular suite of developer tools, now 100% open source.

Xata - The data platform for modern web applications

SmallDevTools - Handy developer tools with a delightful interface

Leanbe.ai - Data-driven smart roadmap generation platform

GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.

AnswerDock - Data analytics made easy 📊