Leanbe.ai
productboard
Roadmap
Canny
Poda
Waymark
AnnounceKit
ProductFlare
Databricks
Google BigQuery
Jupyter
Looker
Presto DB
Informatica
Rakam
Concurrent
Have you ever built a product feature that simply didn't meet your users' expectations or real needs? We have, too. That's why we created Leanbe. It is a smart tool covering all the 3 steps in the product development cycle: feedback collection, roadmap generation and user notification. Thus the full loop of data collection, analysis and planning the future actions is based on a data-driven and user-oriented approach. Leanbe is a platform that helps collect feedback & feature requests, generate a roadmap & notify users about releases and updates.
Leanbe.ai DatabricksNo features have been listed yet.
Based on our record, Databricks should be more popular than Leanbe.ai. It has been mentiond 17 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.
A lot of times here in this subreddit we talked about Beupify and finally me, with the team worked on your feedback and we would have absolutely different and new website just in 2 weeks. I am here to ask you again for feedback as there is left not that much time so we can implement other suggestions as well. For the ones who are not familiar with the tool, I would love to mention that it was only a tool to... Source: about 3 years ago
If it's not against the tools of the subreddit - you can check the website and give me some advice if possible. Source: about 3 years ago
Guys, you were writing me about the startup - here is it https://beupify.com/. Source: about 3 years ago
You can check out the tool, and ping me if you have any questions! Source: about 3 years ago
Here are some tips that helped us to scale our business. P.S The tool is Beupify which is an all-in-one solution for the release notes :). Source: over 3 years ago
Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s 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 1 year 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 2 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 2 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 2 years ago
I am considering Hex, Deepnote, and possibly Databricks. Does anyone have any experience using the first 2 (i have worked with Databricks in the past) and have thoughts they can share? The company isn't doing any fancy data science so far so I mostly want it for deep product analytics which I can turn into reports that are easily shareable across the org. That being said, I do want to get into statistical... Source: about 2 years ago
productboard - Beautiful and powerful product management.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Roadmap - Collision avoidance for projects and people
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.
Canny - Canny helps you collect and organize feature requests to better understand customer needs and prioritize your roadmap.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.