What is Columns?
You need an immediate pivot table showing conversion rates across three regional campaigns, but your data team is backed up for two weeks. Columns solves this by letting you type your request in plain English.
Built by Columns AI Ltd., Columns is an AI spreadsheet and data visualization tool designed for marketing managers and analysts. It operates like a prep cook in a commercial kitchen, chopping raw CSV files into organized tables and visual dashboards so you can plate the final report faster. The system converts text prompts into SQL queries in the background. Still, it requires clean source files to work correctly.
- Primary Use Case: Generating interactive dashboards from CSV uploads using natural language prompts.
- Ideal For: Marketing managers needing fast visual reports without writing SQL.
- Pricing: Starts at $0 (Freemium). The Pro tier starts at $29 per month.
Key Features and How Columns Works
Natural Language to Visuals
- Text-to-Chart Prompts: You type requests to generate bar, line, or pie charts automatically. This bypasses the need for manual pivot table construction, though complex wording misfires about 10 percent of the time.
- 40+ Chart Types: The interface includes drag and drop editing for heatmaps and visual formatting. This allows custom presentation styles, provided you stay within standard charting formats.
Data Handling and AI Models
- Large File Imports: The tool accepts CSV, Google Sheets, and Airtable files up to 1 million rows. Lags frequently occur when processing files over 500,000 rows without a Pro upgrade.
- Flexible LLM Selection: Users choose between GPT-4o or Claude 3.5 for data interpretation. You can also plug in your own custom API keys to control processing costs.
Team Collaboration and Exports
- Real-Time Editing: Workspaces support up to 10 users collaborating simultaneously. (I noticed the 30-day undo history viewer is a lifesaver when an editor accidentally deletes a filter).
- Interactive Embeds: The platform generates iframe codes to paste live charts directly into websites or wikis.
Columns Pros and Cons
Strengths
- Fast dashboard creation. Users frequently report building their first visual report in under five minutes.
- Cost effectiveness for small and medium businesses. Subscriptions cost roughly 80 percent less than Tableau for similar visualization features.
- High accuracy on clean data. Tests show a 95 percent query success rate when querying structured, properly formatted tables.
- No code required. The system automatically handles complex data joins without requiring SQL knowledge.
Limitations
- Strict free tier limits. The 500 query allowance depletes rapidly when exploring large datasets or adjusting prompts.
- Occasional AI hallucinations. The model misinterprets vaguely worded queries roughly 10 to 15 percent of the time.
- Export branding. The free plan forces a visible watermark on all PDF exports.
- Performance lags. Datasets exceeding 500,000 rows cause noticeable slowdowns on the free tier.
Who Should Use Columns?
- Time-Pressed Marketing Managers: This tool builds campaign dashboards from raw CSVs in minutes instead of hours.
- Junior Data Analysts: It provides an automated starting point for creating basic visualizations before writing custom code.
- Enterprise Data Engineers: This tool is not a good fit for this group. Heavy data integration requires native connections to Salesforce or Snowflake, which Columns lacks.
Columns Pricing and Plans
Columns uses a freemium pricing structure. The Free plan costs $0 per month and includes basic AI features and 500 queries per month. The catch: free tier exports include forced watermarks and limited model access.
The Pro plan is the cheapest paid option at $29 per month. It removes watermarks, increases the limit to 5,000 queries per month, and adds advanced AI models.
The Team plan costs $99 per month. It offers unlimited queries and collaboration features for up to 5 users.
Here is where it gets interesting.
The free tier is genuinely useful for one-off campaign reports.
How Columns Compares to Alternatives
Columns competes directly with Polymer. Polymer focuses heavily on turning spreadsheets into interactive web applications with superior filtering controls. Columns handles natural language generation better, but Polymer offers deeper formatting options for public-facing data.
Tableau is another major alternative. Tableau provides massive enterprise integrations with tools like Snowflake and Salesforce. Columns completely lacks these native enterprise connections. So, Tableau works better for large corporate data stacks, while Columns costs a fraction of the price for simple marketing datasets.
Excelmatic takes a different path. Excelmatic operates as a dedicated add-on inside the Microsoft interface. Columns lives in the browser as an independent platform. Which brings us to the final decision.
The Right Pick for Marketing Teams on a Budget
Columns delivers excellent value for marketing teams who need fast visual insights from CSV exports. The low price point and rapid natural language interface make it an easy choice for basic campaign reporting. Plus, the support team actually responds within 24 hours. On the flip side, large enterprise teams managing millions of rows across Snowflake and Salesforce will find the performance and integrations lacking. If you need deep enterprise connections, you should evaluate Tableau instead.