Spin up populated test databases in seconds
We are building Tonic Ephemeral - a purpose built test database that is easy and fast to spin up (or down) based on your dev and test requirements. As engineers who worked on data at Palantir and Tableau, we've seen developers struggle to get isolated test databases when needed. We faced the same problem while we were building our core product at Tonic. Based on this, we decided to build something for ourselves and then realized some of our customers loved it too. Today, we are sharing Tonic Ephemeral with the world. Briefly, Tonic Ephemeral manages test data infrastructure. In my…
Spin up populated test databases in seconds launched on May 16, 2024 with 70 votes, #599 of 4,539 launches that month and more than 90% of that year's launches. The site was not reachable when checked in September 2026.
In plain words
Tonic Ephemeral is a test database tool designed to quickly provision and tear down isolated databases for development and automated testing. Built by engineers from Palantir and Tableau who encountered the challenge of accessing test databases during development, it addresses the infrastructure needs for short-lived testing environments. The tool focuses on speed and cost efficiency, allowing teams to spin up populated test databases on demand rather than managing persistent instances.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
We are building Tonic Ephemeral - a purpose built test database that is easy and fast to spin up (or down) based on your dev and test requirements. As engineers who worked on data at Palantir and Tableau, we've seen developers struggle to get isolated test databases when needed. We faced the same problem while we…
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Get your unstructured data AI-ready in minutes2024 · tonic.ai · ▲38Hey HN! We're excited to announce the launch of Tonic Textual, the secure data lakehouse for LLMs. Simply stated, Tonic Textual allows you to build generative AI systems on your own unstructured data without having to spend time extracting and standardizing your data. In minutes you can build automated, scalable unstructured data pipelines that extract, centralize, standardize, and enrich data from your documents into an AI-optimized format ready for embedding, fine-tuning, and ingesting into a vector database. While in-flight, we also scan for sensitive information and protect it via…
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Source: Show HN post ↗ · launch text quoted in part
