What is arcodash?

arcodash is a BI and data-observability platform. It connects to the databases and warehouses you already run, lets your team write SQL against them — or ask a question in plain English and review the SQL it drafts — turns results into charts and dashboards, and — unlike most BI tools — watches the data itself for signs of trouble.

What you can do with it

• Connect to 19 connectors today — PostgreSQL, MySQL, BigQuery, Snowflake, Amazon Athena, Redshift, ClickHouse, MongoDB, and more — plus a Query Results meta-source for joining across the results of your other saved queries.
• Query with a SQL editor that supports parameters, reusable snippets, scheduled refresh, and full version history with draft/publish so you can iterate without breaking what’s live.
• Ask with AI — describe what you want in plain language and get a SQL draft to review, have AI pick a visualization for a result, or have it propose data-quality checks from a connector’s schema. See AI-assisted SQL generation.
• Visualize results as tables, line/bar/area/pie/scatter charts, counters, and funnels.
• Dashboard those visualizations onto a grid layout, with dashboard-level parameters that filter every widget at once.
• Alert on thresholds — a query result crossing a value notifies email, Slack, webhook, PagerDuty, Mattermost, Teams, Discord, Google Chat, or Datadog.
• Monitor data observability directly — freshness, row count, null rate, and duplicate checks that catch a broken pipeline before a stakeholder does.
• Share dashboards and queries with per-object access control, public secret-token links, or iframe embeds.
• Administer with users, groups (each scoped to specific connectors), and an audit log.

[!NOTE] The AI features are optional and off until an admin configures a provider key (Gemini, OpenAI, or Anthropic — see AI provider configuration). They’re schema-aware, not data-aware: only table and column names are sent to the provider — never row data. Data handling & privacy states exactly what each feature sends.

Where to go next

• Quickstart (Cloud) — sign up and run your first query.
• Core concepts — the vocabulary the rest of the docs use.
• Connecting data — the full connector list.