Software Alternatives, Accelerators & Startups

Design Tokens Extractor for Figma VS DataBloom AI

Compare Design Tokens Extractor for Figma VS DataBloom AI and see what are their differences

Design Tokens Extractor for Figma logo Design Tokens Extractor for Figma

An API for extracting Design Tokens from your Figma document

DataBloom AI logo DataBloom AI

Empowering Data, Elevating Decisions: Blossom Sky.
  • Design Tokens Extractor for Figma Landing page
    Landing page //
    2023-07-07
  • 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.

DataBloom AI

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

Design Tokens Extractor for Figma 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

Design Tokens Extractor for Figma videos

No Design Tokens Extractor for Figma videos yet. You could help us improve this page by suggesting one.

+ Add video

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 Design Tokens Extractor for Figma and DataBloom AI)
Design Tools
100 100%
0% 0
Data Science And Machine Learning
Productivity
100 100%
0% 0
Big Data
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, DataBloom AI seems to be more popular. It has been mentiond 3 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.

Design Tokens Extractor for Figma mentions (0)

We have not tracked any mentions of Design Tokens Extractor for Figma yet. Tracking of Design Tokens Extractor for Figma recommendations started around Apr 2023.

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 Design Tokens Extractor for Figma and DataBloom AI, you can also consider the following products

Specify App - Specify is the Design Data Platform for your design & dev teams:🎨 Collect your design tokens and assets from Figma🤖 Store them in a single source of truth⚡️ Distribute your brand with custom delivery pipelinesGet started for free → specifyapp.com

Xata - The data platform for modern web applications

Figma Design Tokens - Making design tokens a single source of truth for Figma.

AnswerDock - Data analytics made easy 📊

GitNews Web - Trending repositories from GitHub, HackerNews & Reddit

Statwing - Simply upload your spreadsheet or dataset, then select the relationships you want to explore. Statwing was built by and for analysts, so you can clean data, explore relationships, and create charts in minutes instead of hours.