Software Alternatives, Accelerators & Startups

DataBloom AI VS Jasmine

Compare DataBloom AI VS Jasmine and see what are their differences

DataBloom AI logo DataBloom AI

Empowering Data, Elevating Decisions: Blossom Sky.

Jasmine logo Jasmine

Behavior-Driven JavaScript
  • 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.

  • Jasmine Landing page
    Landing page //
    2023-06-17

DataBloom AI

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

Jasmine

Pricing URL
-
$ Details
Platforms
-
Release Date
-

DataBloom AI features and specs

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

Jasmine features and specs

No features have been listed yet.

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?

Jasmine videos

Blue Jasmine - Movie Review by Chris Stuckmann

More videos:

  • Review - Blue Jasmine -- Movie Review
  • Review - Was Jasmine Ever Speechless? [Aladdin 2019 Review]

Category Popularity

0-100% (relative to DataBloom AI and Jasmine)
Data Science And Machine Learning
Automated Testing
0 0%
100% 100
Developer Tools
13 13%
87% 87
Testing
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare DataBloom AI and Jasmine

DataBloom AI Reviews

We have no reviews of DataBloom AI yet.
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Jasmine Reviews

20 Best JavaScript Frameworks For 2023
In the State of JS ranking, Cypress has already surpassed some previously leading best testing frameworks, such as Jasmine, and is now ranked fourth for testing, with 35.8% of testers citing Cypress as their preferred testing framework, which is nearly identical to Mocha.

Social recommendations and mentions

Based on our record, Jasmine should be more popular than DataBloom AI. It has been mentiond 28 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.

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

Jasmine mentions (28)

  • Migrating from Jest to Vitest for your React Application
    Vitest makes it effortless to migrate from Jest. It supports the same Jasmine like API. - Source: dev.to / 5 months ago
  • Using Node.js for Automated Testing with Headless Browsers
    To execute your tests, you can create test scripts using popular testing frameworks like Mocha, Jasmine, or Jest. These frameworks provide a structured way to organize and run your tests, report results, and handle assertions. - Source: dev.to / 8 months ago
  • Road Map To Become a Web Developer
    Testing frameworks like Jest, Mocha, and Jasmine are crucial for software development, ensuring code reliability and correctness. They offer features like test suites, test cases, assertions, and asynchronous testing support. - Source: dev.to / 10 months ago
  • Naming Unit Tests Function
    The test framework used does matter for naming, because in some frameworks you'd use different naming conventions (i.e. The fluent naming used with https://jasmine.github.io/). Source: 11 months ago
  • Common Pitfalls in Angular Component Testing
    Learn more about Jasmine and Karma. - Source: dev.to / over 1 year ago
View more

What are some alternatives?

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

Xata - The data platform for modern web applications

Mocha - Sponsors. Use Mocha at Work? Ask your manager or marketing team if they'd help support our project. Your company's logo will also be displayed on npmjs. com and our GitHub repository.

AnswerDock - Data analytics made easy 📊

WebdriverIO - Webdriver module for Node.js. that makes it easier to write Selenium tests

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.

QUnit - What is QUnit? QUnit is a powerful, easy-to-use JavaScript unit testing framework. It's used by the jQuery, jQuery UI and jQuery Mobile projects and is capable of testing any generic JavaScript code, including itself!