Columns
Transform data into engaging visual stories with AI-enhanced, customizable, and embeddable insights.
Key Takeaways
- What it is
- Transform data into engaging visual stories with AI-enhanced, customizable, and embeddable insights.
- Pricing
- $79
- Best for
- Data Storytelling Canvas
- Diverse Data Integration
- Embeddable Stories
- Rating
- 4.6/5
What is Columns?
Columns emerges as a powerful tool in the realm of data visualization, offering a unique approach to transforming raw data into compelling visual narratives. With a focus on storytelling and user-centric design, Columns revolutionizes the way users interact with and present data from various sources like Notion, Airtable, Google Sheets, and SQL databases.
Columns stands out with its emphasis on storytelling, offering a novel approach to data visualization. It goes beyond generating graphs to craft narratives that make data digestible and engaging. This unique selling point is particularly valuable for presentations and reports where storytelling enhances the impact of data.
Columns excels in transforming complex datasets into engaging visual stories that resonate with diverse audiences. Its design-centric interface, coupled with robust AI capabilities, makes it an indispensable tool for effectively communicating data insights. Whether for business leaders, content creators, or developers, Columns offers a unique blend of functionality and creativity, setting it apart as a leading tool in data visualization and storytelling.
Who is Using Columns?
Content Creators
Crafting data-driven stories to captivate audiences and convey insights effectively.
Developers
Visualizing project metrics and progress in an engaging and interactive format.
Influencers
Sharing data-rich content with followers in a visually appealing manner to drive engagement.
Business Leaders
Communicating insights and strategies based on data analysis to stakeholders and teams.
Uncommon Use Cases
Non-profits reporting on impact; educators incorporating data visualization into curriculum for enhanced learning.
Key Features
Rating Breakdown
Pricing Plans
Lifetime Deal
$79
- Premium access on Columns
Which Columns plan should you pick?
Start with Free to evaluate Columns; upgrade to Premium or Platinum for higher usage, and choose Enterprise for custom controls and support.
Free
Good for individuals exploring Columns with limited usage and core data visualization features.
Premium
Good for regular users who need more processing capacity and broader access to the platform.
Platinum
Good for high-volume users who need lower usage rates and expanded limits.
Enterprise
Good for organizations needing custom pricing, advanced controls, and dedicated support.
Columns Use Cases
Extract data from files
Upload screenshots, receipts, invoices, bank statements, and similar files for structured extraction.
Outcome: Analysis-ready datasets.
Build data workflows
Connect sources, describe transformations, preview outputs, and approve multi-step processing flows.
Outcome: Repeatable transformation pipelines.
Create visual data stories
Query datasets and customize charts, annotations, images, shapes, widgets, typography, and layout.
Outcome: Presentation-quality visual stories.
Monitor data with alerts
Define conditions such as sales thresholds and deliver notifications by email, Slack, or webhook.
Outcome: Faster response to unexpected changes.
Share and embed insights
Publish stories with links, embed them externally, share to Slack, and export assets.
Outcome: Insights accessible to teams and audiences.
Workflow Ideas with Columns
Transform a source into a visual
- 1Create or open a flow from an input node
- 2Connect and sync a data source
- 3Describe, preview, and approve the transformation
- 4Visualize the resulting node
Join two datasets for reporting
- 1Connect separate input nodes to source datasets
- 2Add a merge node and choose join, lookup, union, or except
- 3Add a transformation for the desired metric
- 4Open graph view to confirm the result
Create a monitored data workflow
- 1Connect sources and define the transformation flow
- 2Schedule the flow to run automatically
- 3Configure an alert condition on a node
- 4Deliver alerts by email, Slack, or webhook
How Columns fits into your stack
Slack Integration
Direct integration with Slack for seamless collaboration on projects.
Wide Range of Data Formats
Supports multiple data formats for enhanced compatibility.
Rest API
Offers integration capabilities for developers to connect with other services and customize workflows.
Auto-Updatable Embeds
Ensures embedded stories remain up-to-date with the latest data for enhanced accuracy.
Pros
- +User-Centric Design Tools: Intuitive interface allows for personalization of every visual element, enhancing user experience.
- +Versatility: Compatible with most used data formats, increasing its utility across different platforms and workflows.
- +Collaboration-Friendly: Integrates seamlessly with communication tools like Slack, fostering teamwork and collaboration.
- +Lifetime Access: Offers a one-time purchase option for lifetime access to the premium AI plan, ensuring long-term value.
Cons
- −Learning Curve: New users may require time to fully explore and leverage the tool's storytelling capabilities.
- −Feature Overload: Extensive feature set might overwhelm users seeking simplicity in data visualization tools.
- −Niche Focus: May not cater to users who require traditional BI tool functionalities, limiting its applicability in certain contexts.
Limitations & when to consider alternatives
Known limitations
- Limited upload formats. Direct dataset uploads currently support CSV, TSV, and gzip-compressed CSV/TSV.
- Public links are enabled by default for Drive files. Each uploaded Drive file receives a unique public link unless you turn it off.
- Google Sheets refresh is on demand. After changing a connected sheet, you must trigger sync to refresh the dataset.
- Notion refresh is on demand. After changing Notion data, you must trigger sync to refresh the connected dataset.
Look elsewhere when
- You need native mobile apps.
- You need a documented developer API.
- You need direct PDF or spreadsheet uploads for analysis.
How to Use Columns
- 1
Columns provides a comprehensive range of tutorials to assist users from setup to advanced feature utilization, ensuring users can maximize their data storytelling experience.
Who is Columns For?
Analysts
Connect, transform, query, and visualize datasets for faster analysis.
Operators
Build repeatable data workflows, schedules, and alerts.
Founders
Move quickly from raw data to shareable insights and decisions.
Teams
Collaborate in shared workspaces and distribute stories through links, embeds, Slack, and exports.
Frequently Asked Questions
Can I connect to a database?
Yes. Columns supports database connections in addition to spreadsheet sources.
Can I choose a different tab when connecting Google Sheets?
Yes. Columns supports selecting a specific sheet tab directly from a sheet URL.
Can I customize charts?
Yes. Columns provides an interactive canvas for customizing nearly every visual element.
Can I save preferred styles?
Yes. You can save default colors, fonts, and style preferences from your profile.
Does Columns support team features?
Yes. Team features include SSO via SAML, multi-seat teams, member management, and team workspaces.
Community reviews
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