Getting Started

What is Datavine?

Datavine is an enterprise-grade data analytics platform built on top of Google BigQuery. It gives data engineers, analysts, and business users a unified workspace to query, visualize, monitor, and understand their data — with AI assistance throughout.

🔍

SQL Editor

Write and run BigQuery SQL with AI assistance, multi-tab editing, and query history.

📊

Dashboard Builder

Build drag-and-drop interactive dashboards and share them across your team.

🔗

Data Lineage

See exactly where your data comes from and what it feeds — column by column.

🤖

AI Features

Gemini-powered SQL generation, data chat, anomaly explanation, and pipeline agents.

⚠️

Anomaly Detection

Monitor tables for freshness, volume, null rates, and schema drift automatically.

💰

Cost Optimizer

See what your BigQuery queries cost and get AI recommendations to reduce spend.

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Data Chat

Ask questions about your data in plain English. Get charts and answers automatically.

🎫

Issue Boards

Track data quality incidents with Kanban boards, SLA tracking, and AI analysis.

Who is Datavine for?

Datavine is built for data teams of any size — from solo analysts querying data in a personal workspace, to large engineering organizations collaborating across teams.

Data Engineers

Monitor pipelines, track lineage, detect anomalies, and manage data quality at scale.

Data Analysts

Write SQL, build dashboards, explore the data catalog, and ask questions in plain English.

Engineering Managers

Track costs, view team usage analytics, and manage issue boards for data incidents.

Business Users

View dashboards, browse the data catalog, and ask questions about data without writing SQL.

How it works

Datavine connects to your Google Cloud Platform project using a service account with BigQuery access. All queries run directly against your BigQuery project — Datavine never stores your data. Metadata (saved queries, lineage information, anomaly records, dashboards) is stored in Datavine's database.

Datavine uses Google Vertex AI (Gemini) for AI features like SQL generation, anomaly analysis, and cost optimization recommendations. Vertex AI calls are made using your connected GCP project credentials.

Personal vs Organization workspaces

Datavine supports two workspace types. A personal workspace is for individual use — your queries, dashboards, and projects are private to you. An organization workspace unlocks team features: shared queries, collaborative dashboards, issue boards, documentation, activity feeds, and role-based access control.

How it compares

Feature	Datavine	BigQuery Console	Metabase	Monte Carlo
AI SQL generation	✓	✗	✗	✗
AI Data Chat	✓	✗	✗	✗
Column-level lineage	✓	✗	✗	✓
Anomaly detection	✓	✗	✗	✓
AI root cause analysis	✓	✗	✗	✓
Dashboard builder	✓	Limited	✓	✗
Cost optimizer	✓	Limited	✗	✗
Pipeline monitoring	✓	✓	✗	✓
Issue boards	✓	✗	✗	✓
Team collaboration	✓	✗	✓	✓
SSO / RBAC	✓	✓	✓	✓
Query caching	✓	✓	✓	✗

Quickstart