OrcaSheets
AI-powered data analytics
Mac
Version 26.2.4
macOS 10.13 ou version supérieure
243.6 MB
1 langues
Handling massive datasets usually means waiting for cloud uploads or struggling with complex SQL queries. If you just want answers without the lag or the privacy risks of third-party servers, meet OrcaSheets. It’s a local-first analytics engine that processes billions of rows directly on your Mac. The app combines the speed of a high-performance database with a simple chat interface, so you can query your data as easily as sending a Slack message.
Analyze billions of rows in seconds
Chat with your data using plain English
Automate workflows with smart recipes
Keep all sensitive data 100% offline
Fonctionnalités de OrcaSheets
Process massive datasets locally
Stop waiting for dashboards to load. OrcaSheets can process up to a billion rows directly on your machine in seconds. Filters, pivots, and statistical analysis run smoothly without lag because everything happens on your hardware, not on remote servers.
Generate data transformations in plain English
You don’t need SQL, Python, or complex macros. With Connector + OrcAI, you can describe what you want in simple language and OrcaSheets will generate the columns or transformations for you.
Chat with your data
Instead of manually digging through tables, use built-in AI chat to explore your dataset. Ask questions, validate trends, or request summaries. OrcaSheets treats your spreadsheet like a live knowledge base and responds with context-aware insights in seconds.
Use ready-made analytics recipes
Speed up recurring workflows with prebuilt analytics recipes such as customer cohort analysis, sales performance dashboards, and marketing attribution models. Customize them to fit your data and skip rebuilding the same structure every time.
Work offline with full privacy
Your data never leaves your device. OrcaSheets operates with a local-first architecture, meaning no servers, no shadow copies, and no background tracking. It works offline and ensures that every calculation and insight stays entirely under your control.
Avis et commentaires
OrcaSheets
•
20 classements
Archiee
Hier
Version de l'application : 26.2.3
This tool is extremely helpful for data analysis. It generates accurate SQL queries very quickly, which is impressive.
Guillermo Siliceo
26 févr. 2026
Version de l'application : 26.2.2
I gave it a 70k rows csv file and the stats said that it was 6k rows. I thought that maybe it was a UI issue, but as I filtered my data the results kept coming wrong. So that confirmed that was not only the UI the program was working with a subset of the data. Suffice to say I found it useless. It can’t do basic counting.
Réponse du développeur
27 févr. 2026
Hi Guillermo, We're truly sorry about this. One of OrcaSheets' core principles is that we run compute on your full dataset locally, not a sampled subset. Unlike most LLM-based tools that work on partial data and risk hallucinating results, we process every single row. So hearing that your 70k-row file was reduced to 6k is deeply concerning to us. We've already reached out to you personally via email because we want to get to the bottom of this. We're treating it as a priority and will do everything we can to make sure your experience with OrcaSheets changes completely. Thank you for flagging this. Feedback like yours is how we get better.
Brandon
21 févr. 2026
Version de l'application : 26.2.2
No documentation overall and snowflake connector template is basically worthless. Waste of time
Réponse du développeur
25 févr. 2026
Hey Brandon, thanks for the honest feedback! We hear you on the documentation front, and we've been working on it. You can check out our onboarding guide here: https://orcasheets.ai/docs/onboarding-guide/ for a quick start. As for the Snowflake connector, we've just shipped a production-ready version along with sample connection configs for most connectors to make testing a breeze. Give it another spin when you get a chance, and if you hit any snags, we're right here. We'd love to change that 'waste of time' to a 'worth my time' 😊
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AI-powered data analytics