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Databricks might be a bit more popular than Sqitch. We know about 17 links to it since March 2021 and only 17 links to Sqitch. 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.
We use https://sqitch.org/ and we’re fairly happy with it. Sqitch manages the files to deploy which are applied fits to a local database. We use GitHub actions for deployment and database migrations are just one step of the pipeline. The step invokes sqitch deploy which runs all the pending migration files. Then, all the approval process is standard for the environment. We require approvals in pull requests... - Source: Hacker News / 2 months ago
I'm experimenting with it right now using Squitch [1] to make maintenance easier. It still feels like a hack and I also still have my doubts about the viability of this for real-world use. It's fun though and I'm learning about all kinds of advanced Postgres features. [1] https://sqitch.org/. - Source: Hacker News / 6 months ago
How does it compare with other SQL-based migration tools like Sqitch? Source: over 1 year ago
Yup, same. Last time I set this up I used Sqitch¹ for migrations, which encourages you to write tests for each migration; caught a lot of bugs early that way, all in a local-first dev environment. Worked especially well for Postgres since plpgsql makes it easy to write tests more imperatively. ¹: https://sqitch.org/. - Source: Hacker News / over 1 year ago
Sqitch. DB migrations for multiple data stores without a proprietary syntax for DB updates. Git-aware. Integrated unit testing. Https://sqitch.org/ Https://youtu.be/wF4PEe8HD7k. Source: over 1 year 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
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