Does.qa
DogQ.io
Testpine
Cypress.io
TestSprite
Octomind.run
TestMu AI (Formerly LambdaTest)
ACCELQ
Databricks
Google BigQuery
Jupyter
Looker
Presto DB
Rakam
Informatica
Concurrent
DoesQA is Codeless test automation that's more powerful than code! Any team member can create complex automation tests easily, enabling QA to keep pace with development and build coverage while reducing costs.
DoesQA doesn't just make the easy stuff easier; our codeless test automation tool also supports API integrations, Visual Regression, Pa11y, Lighthouse, and many more.
You'll be able to create tests in minutes which would have taken months in code.
Does.qa DatabricksDoes.qa's answer
DoesQA simplifies test creation and improves reliability while keeping the tester in control. With unlimited concurrency as standard there's no faster way to create or run your tests.
Does.qa's answer
DoesQA is the only solution which supports branching tests, API requests and Lighthouse Audits. DoesQA was built by experienced SDETs to make testing simpler, faster and more cost-effective while allowing all the power which comes with a traditional code-based solution.
Does.qa's answer
Engineering teams who want powerful web end-to-end automation tests without the costs typically associated with building a test framework and running tests remotely.
Does.qa's answer
Everyone's endlessly wasting money building their own test framework.
Based on our record, Databricks seems to be a lot more popular than Does.qa. While we know about 18 links to Databricks, we've tracked only 1 mention of Does.qa. 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.
Hey, DoesQA here, we have a compatible set of steps as WebdriverIO but as a codeless test automation tool. Source: about 3 years ago
Vendors like Confluent, Snowflake, Databricks, and dbt are improving the developer experience with more automation and integrations, but they often operate independently. This fragmentation makes standardizing multi-directional integrations across identity and access management, data governance, security, and cost control even more challenging. Developing a standardized, secure, and scalable solution for... - Source: dev.to / almost 2 years ago
Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAIโs Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 3 years ago
Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / almost 4 years ago
Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / about 4 years ago
Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 4 years ago
DogQ.io - No-code tests in cloud for web developers with all skill levels
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Testpine - No Code Test Automation for Web & Mobile and Test Management
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Cypress.io - Slow, difficult and unreliable testing for anything that runs in a browser. Install Cypress in seconds and take the pain out of front-end testing.
Looker - Looker makes it easy for analysts to create and curate custom data experiencesโso everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
