Input Tables

Merge Past Data with Future Possibilities

Break through the Data-to-Warehouse Barrier

With Input Tables, your teams can effortlessly incorporate human context into their analysis by bringing their own data directly into the warehouse, all without writing any code. With Input Tables, both your analytics and business teams can remove data roadblocks, reduce repetitive analytics tasks, and make more impactful decisions faster.

Learn how Input Tables WorkWatch Webinar on Input Tables

Reinvent How Your Company Runs on Data

Create detailed forecasts from historical data and future projections, build internal data auditing tools, perform rapid data prototyping with external sources, or build detailed models that can be managed with just a few inputs.

Spreadsheet-Style Controls With Warehouse Superpowers

Common interactions and spreadsheet behaviors

Use the normal data controls like undo/redo, type-ahead, column protection, data validation, keyboard shortcuts, sorts, filters and column types. Ensuring your business teams know exactly how to use input tables from day one.

Direct data entry into the warehouse

Create and enter data into tables like you would in a traditional spreadsheet, then mirror them as system tables directly in your warehouse. Bringing a single source of truth to your data ecosystem.

Contextualize existing analysis with human inputs

Extend your existing analysis to incorporate human data alongside warehouse sources. Add clickable dropdowns that can be used to match against production data. Letting you collect data and context across the entire organization.

Additional Resources

Announcing Input Tables: Your Warehouse, Now with Your Data

The reality is that every company using data to make decisions in 2023 still runs on spreadsheets. Whether it’s the familiarity, the simplicity, or the need to make contextual edits, companies are still operating with tools built decades ago—missing out on all of the scale, speed, and governance provided by the cloud data warehouse. Shouldn’t there be a better way?

Learn more

How to Use Input Tables, A Practical Guide to Dynamic Calculations and Scenario Modeling

Input Tables are a powerful new feature in Sigma that enable direct access to your cloud data warehouse via Sigma-managed warehouse tables.

Learn more

The Core Use Cases For Sigma’s Input Tables

Input Tables create an entirely new paradigm for working with your warehoused data and reimagine how data analytics and business teams leverage external human context with live production data to achieve their goals faster at massive scale.

Learn more

Workato Turns to Sigma’s Input Tables to Drive its Business Forward

Learn how Workato leveraged Sigma to improve efficiency, create visualizations, build predictive models and conduct scenario modeling.

Learn more

See our Partner, phData's Take on Input Tables!

This blog explores how Sigma Computing’s Input Tables can help users overcome common data management challenges.

Learn more

Drive Data Warehouse Flexibility with Sigma

Users can add editable tables or columns to add data when it’s missing, iterate on it to explore what/ifs, or to capture context across the organization. All edits are secure, auditable, and accessible from the warehouse to be leveraged downstream.

Learn more

Sigma’s Input Tables enable our employees who use spreadsheets to efficiently create and analyze large data sets in Snowflake, without needing our data engineers to rebuild the entire data pipeline.

Han Zhang

Senior Vice President, Blackstone

We are Sigma.

Sigma is a cloud-native analytics platform that uses a familiar spreadsheet interface to give business users instant access to explore and get insights from their cloud data warehouse. It requires no code or special training to explore billions of rows, augment with new data, or perform “what if” analysis on all data in real⁠-⁠time.