Arcwise vs Columns AI (formerly Columns)

Arcwise flags meaningful KPI shifts in your warehouse data and explains what is driving them before they show up in weekly reviews. It connects to Snowflake, BigQuery, and Databricks, then delivers spreadsheet-ready answers traced to your SQL, tables, and business documentation inside the Google and Microsoft docs your team already uses.

Most analytics stacks stop at dashboards or untraceable chat answers. Arcwise is built around decision-ready output with auditable SQL behind every explanation. It separates signal from noise, names the operational drivers behind a metric move, and saves validated explanations as institutional memory your team can reuse next quarter without filing another analyst ticket.

Operations, finance, and growth leaders at logistics firms, airlines, manufacturers, and other data-heavy businesses use Arcwise to turn metric changes into specific next steps. Industry pages cover margin loss in TMS data, MBR preparation, and white-labeled customer analytics tied to billing and execution systems.

Arcwise is SOC 2 Type II certified, processes only metadata and queries rather than storing sensitive business data, and lets enterprises bring their own LLM API keys through Azure OpenAI or internal models.

Columns AI takes messy files and live data sources through ingestion, automation, and chart publishing without making you stitch together separate tools. Drive ingests CSV, Excel, PDF, and images with OCR, Flow connects warehouses and apps with plain-language transformations, and Graph publishes brand-matched visuals you can embed or export.

Most BI tools assume your data is already clean and your team knows SQL. Columns splits the problem into three steps on purpose: structure files in Drive, automate sync and transforms in Flow, then ship client-ready charts from Graph without opening a separate design tool. You pay per row processed, and the Basic plan has no monthly base fee.

The site lists 12,000+ users across business operators, consultants, marketing and RevOps teams, analysts, and freelancers. Founder Shawn Cao previously built data infrastructure at Microsoft, Facebook, and Pinterest.