Open-source collaborative agentic workspace for data teams
Databench by Alkera is the open-source, multiplayer workspace for data science, analytics, and engineering. Collaborate live alongside teammates and agents in notebooks and chats, run any cell or agent on your laptop, another computer, or a GPU node and launch many agents in parallel to explore ideas. Every result traces back to the data and code behind it. Try it at https://alkera.ai with a generous free tier or host Databench yourself (https://github.com/AlkeraAI/Databench).
Hey Product Hunt! 👋 I'm Rick, co-founder of Alkera, building Databench with Andrew Tran and Tony Li. Before starting Alkera, we worked closely with data teams at places including TikTok, Ramp, and Hudson River Trading.
Alkera provides a unified platform for data engineering, data science, and data analytics work. We've noticed a significant need for an agent-native data science solution beyond traditional Jupyter notebooks.
❌ The Problem
While new agent-native interfaces such as ADEs have significantly increased software engineers' productivity, data teams are still stuck with the traditional Jupyter notebook, with little evolution or adaptation for agent-first, collaborative workflows. Another problem with agentic work for data is the lack of accountability, traceability, and reproducibility, which makes it hard to verify and reproduce agent-generated work.
This is why we built Databench, the open-source multiplayer workspace for data science, analytics, and engineering. Work alongside teammates and agents in notebooks and chats and run any cell or agent on your laptop or a remote computing node.
✅ What Databench provides:
Open-source subset of the Alkera product licensed under Apache 2.0
Multiplayer SQL and Python notebooks that you share live with teammates and agents
Connection to databases that are SQLAlchemy compatible (PostgreSQL, SQLite, MySQL, and many more)
Reactive notebooks based on marimo that rerun stale cells based on changes to SQL & Python
Fully web-based with rich file editors and notebook editing
Live collaboration with live cursors and edits from teammates and agents
Run chats and notebooks anywhere: your laptop, a remote compute node, or a GPU cluster
Declarative charting library for pretty graphs every time in your notebooks
If you have any questions or concerns, the team will be online all day to help!
About Databench by Alkera on Product Hunt
“Open-source collaborative agentic workspace for data teams”
Databench by Alkera launched on Product Hunt on October 7th, 2026 and earned 288 upvotes and 15 comments, placing #4 on the daily leaderboard. Databench by Alkera is the open-source, multiplayer workspace for data science, analytics, and engineering. Collaborate live alongside teammates and agents in notebooks and chats, run any cell or agent on your laptop, another computer, or a GPU node and launch many agents in parallel to explore ideas. Every result traces back to the data and code behind it. Try it at https://alkera.ai with a generous free tier or host Databench yourself (https://github.com/AlkeraAI/Databench).
On the analytics side, Databench by Alkera competes within Open Source, Artificial Intelligence and Data Science — topics that collectively have 553.9k followers on Product Hunt. The dashboard above tracks how Databench by Alkera performed against the three products that launched closest to it on the same day.
Who hunted Databench by Alkera?
Databench by Alkera was hunted by Ben Lang. 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 Databench by Alkera including community comment highlights and product details, visit the product overview.
Ben Lang
Hey Product Hunt! 👋 I'm Rick, co-founder of Alkera, building Databench with Andrew Tran and Tony Li. Before starting Alkera, we worked closely with data teams at places including TikTok, Ramp, and Hudson River Trading.
Alkera provides a unified platform for data engineering, data science, and data analytics work. We've noticed a significant need for an agent-native data science solution beyond traditional Jupyter notebooks.
❌ The Problem
While new agent-native interfaces such as ADEs have significantly increased software engineers' productivity, data teams are still stuck with the traditional Jupyter notebook, with little evolution or adaptation for agent-first, collaborative workflows. Another problem with agentic work for data is the lack of accountability, traceability, and reproducibility, which makes it hard to verify and reproduce agent-generated work.
This is why we built Databench, the open-source multiplayer workspace for data science, analytics, and engineering. Work alongside teammates and agents in notebooks and chats and run any cell or agent on your laptop or a remote computing node.
✅ What Databench provides:
Open-source subset of the Alkera product licensed under Apache 2.0
Multiplayer SQL and Python notebooks that you share live with teammates and agents
Connection to databases that are SQLAlchemy compatible (PostgreSQL, SQLite, MySQL, and many more)
Reactive notebooks based on marimo that rerun stale cells based on changes to SQL & Python
Fully web-based with rich file editors and notebook editing
Live collaboration with live cursors and edits from teammates and agents
Run chats and notebooks anywhere: your laptop, a remote compute node, or a GPU cluster
Declarative charting library for pretty graphs every time in your notebooks
Try it free at https://alkera.ai or self-host from GitHub: https://github.com/AlkeraAI/Databench
If you have any questions or concerns, the team will be online all day to help!