Software Alternatives, Accelerators & Startups

productboard VS DataBloom AI

Compare productboard VS DataBloom AI and see what are their differences

productboard logo productboard

Beautiful and powerful product management.

DataBloom AI logo DataBloom AI

Empowering Data, Elevating Decisions: Blossom Sky.
  • productboard Landing page
    Landing page //
    2023-05-05
  • 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.

productboard 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

productboard videos

ProductBoard Review | Project Management Tool | Pearl Lemon Review

More videos:

  • Review - Welcome to productboard!
  • Review - ProductBoard Helps You Make the Right Thing at Disrupt SF Startup Battlefield

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 productboard and DataBloom AI)
Project Management
100 100%
0% 0
Developer Tools
0 0%
100% 100
Customer Feedback
100 100%
0% 0
Data Science And Machine Learning

User comments

Share your experience with using productboard and DataBloom AI. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

productboard 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.

productboard mentions (4)

  • Do you use an additional tool aside from JIRA?
    Admittedly, this is an issue with organization and can be solved with thorough cleanups, but I suspect that may disrupt the usual flow of non-PM people more. I am thinking of using a separate tool like craft.io or productboard.com to highlight strategies, roadmaps, cross-team initiatives, discoveries, etc. With a possible link to JIRA somehow. Has anyone ever tried this? Source: about 2 years ago
  • Think twice before using AGE in PotgreSQL
    Recently my friend at Productboard noticed an interesting bug in one of our services. For some reason our code responsible for calculating how many days our customers' features spend in certain states (Idea, Discovery, Delivery, etc) in some cases would give us wrong results. - Source: dev.to / about 2 years ago
  • Which tools you use in your role of PM?
    ProductboardProductboard helps us capture user feedback from email, Slack, Zendesk, our public-facing product portal etc. And see what users need the most. We also use it for prioritizing product objectives, release planning, roadmapping…. Source: over 2 years ago
  • Ask HN: What software do you use to gather requirements?
    I use ProductBoard. It's fairly expensive but pretty great. I gather requirements into PB and use the inbuilt editor to flesh them out. When a story is ready I push a button and it ends up in Trello (but you can add your own integrations; there's one for github for example). The integrations aren't perfect but I love it. Used it in my last job and brought it in at my current job. https://productboard.com. - Source: Hacker News / almost 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 productboard and DataBloom AI, you can also consider the following products

Aha - Aha! is the new way to create visual product roadmaps. Web-based product management tools and roadmapping software for agile product managers.

Xata - The data platform for modern web applications

Canny - Canny helps you collect and organize feature requests to better understand customer needs and prioritize your roadmap.

AnswerDock - Data analytics made easy 📊

ProdPad - ProdPad helps your team gather ideas, surface the best ones and turn them into product specs, and then put it all on a product roadmap.

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.