Columns

Columns is a data automation and visualization platform for spreadsheet users. It combines data collection, transformation, analysis, visualization, and communication in one workflow through Columns Drive, Flow, and Graph.

What it does

Columns is designed to move data from source to insight without requiring separate tools for each step. Drive collects or uploads data, Flow organizes and transforms it, and Graph turns results into charts and presentation-ready stories. The platform describes itself as supporting automated data flows and plain-language instructions for building flow logic.

Notable capabilities

• Connects to or imports CSV and TSV files, Google Sheets, Excel, Notion, Airtable, SQL sources, and HTTP API endpoints through Drive, according to the official documentation.
• Extracts data from images, screenshots, text files, spreadsheets, and PDFs, with extracted content compiled into CSV datasets for further processing.
• Builds visual pipelines for cleaning, transforming, analyzing, aggregating, joining, and unioning data in Flow.
• Provides automatic chart suggestions and chart-building controls based on dimensions, metrics, and filters in Graph.
• Supports alerts for data events or anomalies, plus publishing by link, embedding, Slack sharing, and export for reports and presentations.

Who it helps

The website positions Columns for business operators, consultants, marketing teams, RevOps teams, data analysts, business analysts, and freelancers. It is most relevant to people who regularly move data between spreadsheets or business systems and need to produce recurring analysis, dashboards, or briefings without manually repeating each step.

How it fits a workflow

A typical workflow can begin by uploading a file or connecting a supported source in Drive. Flow can then apply cleaning, transformations, joins, aggregations, or other analysis steps. Users can describe some operations in plain language, while scheduled automation keeps flows and resulting insights updated. Graph provides the presentation layer, with controls for charts, annotations, images, shapes, arrows, typography, spacing, and other visual elements. Finished stories can be shared or embedded outside the platform.

This structure makes Columns suitable for recurring reporting and data storytelling workflows where the same inputs need to be processed and communicated repeatedly. Its stated notification features can also surface spikes, drops, threshold crossings, or other configured data events without requiring users to check continuously.

Strengths and limits

Columns brings ingestion, data preparation, visualization, and distribution into a single product family, which can reduce the need to switch between separate spreadsheet, automation, and presentation tools. Its visual flow builder, plain-language operation descriptions, document extraction, and branded presentation controls are notable workflow features.

The official pages cited here do not provide sufficiently accessible current pricing details or explicit product usage limits. Prospective users should therefore evaluate plan costs, limits, and the exact behavior of required data connections before adopting it for a larger workflow.