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data-diff
Efficiently diff data in or across relational databases
Open source data-diff keeps getting better! 💫 In our latest release: ⏱ Faster diffing 🦆 DuckDB support! ✨ Store diff results ➕ and more! Check out the full release notes here: https://github.com/datafold/data-diff/releases/tag/v0.3.0
About data-diff on Product Hunt
“Efficiently diff data in or across relational databases”
data-diff was submitted on Product Hunt and earned 10 upvotes and 2 comments, placing #68 on the daily leaderboard. Open source data-diff keeps getting better! 💫 In our latest release: ⏱ Faster diffing 🦆 DuckDB support! ✨ Store diff results ➕ and more! Check out the full release notes here: https://github.com/datafold/data-diff/releases/tag/v0.3.0
On the analytics side, data-diff competes within GitHub, Data & Analytics, Data and Database — topics that collectively have 51.1k followers on Product Hunt. The dashboard above tracks how data-diff performed against the three products that launched closest to it on the same day.
Who hunted data-diff?
data-diff was hunted by matthew david. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of data-diff including community comment highlights and product details, visit the product overview.