Databoto Platform

AI Data Workbench for collaborative, predictable data operations.

Databoto helps teams collaborate on data with AI across SQL, metrics, and continuous monitoring in a predictable, reviewable workflow.

Built for teams that need both AI velocity and operational reliability.

Collaborative by design

Move from ad-hoc queries to shared, team-aligned data workflows.

Predictable AI involvement

Replace black-box generation with guided steps and explicit validation.

Continuous monitoring and self-iteration

Keep metrics operational through scheduled runs, reruns, and transparent runtime history for continuous improvement.

Product

AI Data Workbench

Databoto is an AI Data Workbench for end-to-end data operations: understand datasource context, generate SQL, draft metrics, and operate continuous monitoring.

Who It's For

Teams that need speed without sacrificing trust

Analytics Engineers

Standardize continuous data insight workflows with AI support while keeping definitions explicit and testable.

Data/Product Analysts

Move faster from questions to validated insights with structured AI support.

Data Platform Teams

Operate ongoing monitoring workflows and make AI behavior easier to govern.

What We Solve

Common issues with ad-hoc AI data tooling

Unpredictable AI

AI can produce inconsistent outputs and hidden assumptions. Databoto introduces a structured, reviewable workflow so teams can validate outcomes and trust what reaches production.

Disconnected metric workflows

We connect SQL outputs to metric workflows so teams can operationalize and iterate in one loop.

Workflow

Opinionated workflow for predictable outcomes

1. Connect and profile datasources

Start with schema context and table awareness as the foundation.
2. Generate and Operate Metric Collection with AI assistance.

Use AI-assisted SQL and context to define repeatable collection-ready metrics with clear scheduling and runtime expectations.
3. Draft / review metrics from validated context.

Review validated SQL context, refine metric definitions, and approve final configuration before production monitoring.
4. Monitor, rerun, and collaborate continuously

Keep a repeatable loop with transparent runtime behavior.
5. Share data knowledge and MAGIC across the team

Capture team data magic from legacy rules and tribal knowledge that cannot be inferred from schema or raw data alone, so everyone can consistently apply the same business logic with AI-assisted collaboration.

Core Features

Built for operational data collaboration

SQL Assistant

Generate, run, rerun, and inspect SQL with context-aware AI support.

Analyze SQL

Review SQL logic and metadata before operationalizing metrics.

Continuous Metric from Context

Convert SQL + analysis into metric definitions with explicit timestamp and scheduling metadata.

Datasource Scanning

Continuously discover and update schema, table, and column context.

Monitoring and Collection Loop

Run scheduled collection and track results over time.

Performance-Aware Collection

Improve collection efficiency with faster, more responsible query patterns that reduce unnecessary load on target datasources.

Choose your preferred AI provider

Use OpenAI, Gemini, and Anthropic in a consistent product workflow.

Deployment

On-Prem solution for secure data environments

Install Databoto in your own environment and connect datasources safely using your existing security controls.

Expected Outcomes

What teams can improve with Databoto

Reduce time from question to validated metric definition
Lower rework from ambiguous SQL and hidden AI assumptions
Collect data in a more efficient, quicker, and responsible way to improve performance
Improve confidence through repeatable, monitored data workflows
Make team collaboration stronger by sharing data knowledge across the team with AI's help

FAQ

Quick answers

Is this just another SQL generator?

No. Databoto covers the full workflow: generation, execution, validation, metric drafting, and continuous monitoring.

Why opinionated workflow?

Opinionated steps make AI behavior predictable and easier for teams to review, trust, and scale.

What LLM models does Databoto support?

Databoto supports OpenAI, Gemini, and Anthropic integrations.

Can we try Databoto early?

Yes. We are welcoming early users and would love to have you try Databoto with your team.