Databench by Alkera
Open-source workspace from Alkera AI where data teams and AI agents share notebooks and chat, run on remote compute, and keep code and data changes traceable.
About this launch
Databench is an open-source workspace from Alkera AI, Inc. in which data teams and AI agents work in the same notebooks and conversation, run code on remote compute and keep a trace of which code and data produced each result. Alkera’s wider platform, as its site describes it, adds a shared knowledge base, column-level lineage, automated maintenance of data pipelines and more than 25 integrations with data tools. The Product Hunt page describes the company as backed by Y Combinator; its location is not stated. The site offers a free tier and a demo for enterprise customers but publishes no paid prices. Databench reached Product Hunt’s daily leaderboard on 7 October 2026. Buyers should check the repository’s licence before building on it, where agent-run code executes and what it can reach, and how lineage is captured when work moves outside the workspace.
Not yet independently verified: The launch date is the Product Hunt day (7 October 2026); no dated post from the maker was found. Every detail comes from the maker’s own site and Product Hunt page; the repository licence and paid prices were not read, and no independent report was found. We will update this when it can be confirmed, and remove this note.
Discussion
Questions & answers about Databench by Alkera.
No questions yet. Be the first to ask about Databench by Alkera.
More on TrustList
Everything here links back to the same verified catalogue. Pick your next stop.
- All launchesToday's board, this week's and the all-time archive.
- Databench by Alkera on TrustListReviews, pricing, features and alternatives.
- CompaniesAgencies, consultancies and IT service providers, ranked by verified reviews.
- ProductsSoftware and SaaS with pricing, features, integrations and alternatives.
- ArticlesGuides, comparisons and research from the editorial desk and the community.
- AwardsAnnual recognition decided by verified reviews and an independent jury.
- AI ModelsBenchmark scores and community ratings for every major model.
- RequestsBuyers describe what they need; vendors respond directly.
- PeopleReviewers, authors and makers with public profiles.
- ComparePut up to four listings side by side before you shortlist.