Local-first spreadsheet analytics that processes billions of rows on your PC and adds AI insights while keeping sensitive data under your control.
OrcaSheets is a spreadsheet-based analytics tool that connects to warehouses, databases, flat files, and APIs, letting users query and analyze data using either plain English or SQL. It supports connectors including XLSX, CSV, TSV, Arrow, Parquet, JSON, Polars, Pandas, SQL Server, PostgreSQL, MySQL, Oracle, MongoDB, Snowflake, Elasticsearch, Databricks, AWS S3, GCP, and Azure. Queries run locally on the user's own hardware and servers rather than in the cloud, with data encrypted in transit.
The product is aimed at finance, operations, and growth teams that need to unify data from multiple tools into a single workspace, as well as data teams, enterprises, and developers. Listed use cases include month-end close and reconciliations, inventory and logistics tracking, funnel and cohort analysis, and querying large ERP datasets. Workflows built with plain-English or SQL queries can be saved as templates for teams to rerun without writing queries themselves.
OrcaSheets connects to warehouses, databases, files, and APIs including PostgreSQL, MySQL, Oracle, MongoDB, Snowflake, Databricks, AWS S3, GCP, and Azure, among 20+ connectors.
No, you can ask questions in plain English when exploring, or drop to SQL for full control when needed.
OrcaSheets is local-first, keeping raw data on your own infrastructure with queries run on your servers and desktops and data encrypted in transit.
It is used by finance, ops, and growth teams as well as enterprise and manufacturing organizations, including startups, logistics, retail, pharma, and AI companies.
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