Version control for data and ETL pipelines. Rollback mistakes in minutes, not weeks.
| date | total_revenue | customers |
|---|---|---|
| 2025-01-01 | $45,230 | 128 |
| 2025-01-02 | $52,180 | 142 |
| 2025-01-03 | $58,920 | 156 |
Every data team faces these expensive, time-consuming challenges
When mistakes happen, data teams face 2-3 week backfill campaigns costing $50K-200K per incident. Recovery requires manual intervention and tribal knowledge. One bad query can corrupt your entire pipeline.
Analysts waste 30-40% of their time asking "Where is the data?" Manual dataset discovery from outdated spreadsheets and tribal knowledge creates duplicate work, inconsistent analysis, and slow time-to-insight.
Tables depend on other tables, but tracking these relationships manually is error-prone. One delayed upstream job breaks everything downstream. No lineage means debugging becomes a nightmare.
Companies have zero visibility into data spending and waste 60-80% of budgets on redundant datasets, inefficient queries, and over-provisioned infrastructure. Bills keep growing with no way to optimize.
Bring Git-like superpowers to your data pipelines. Branch, version, and rollback with confidence.
95% faster incident response. One-click rollback with automatic downstream DAG cascade. Select any point in time, click rollback, and the entire dependency tree cascades automatically. 3 weeks → 5 minutes.
ROLLBACK TO VERSION 122
Complete audit trail. Every query, transformation, and schema change is automatically versioned. Git-like branching for data and schema with 60%+ storage reduction vs table copies.
SELECT * FROM sales VERSION AS OF 123
Lineage captured at authoring time. Automatically track table dependencies at the partition level. Jobs run in the right order. Enables discovery, operations monitoring, and change impact assessment.
DEPENDS ON sales.date = YESTERDAY
Hours → seconds. AI agents understand schemas and lineage. Ask "Show me sales by region for last month" in natural language—get instant SQL generation and query execution.
"Show me sales by region last month"
Production-ready features with serverless simplicity
Lineage captured at authoring time—not reverse-engineered from logs. Enables discovery, operations monitoring, and change impact assessment across the entire pipeline.
Git-like branching for data and schema. 60%+ storage reduction vs table copies. Safe schema testing with complete isolation.
Single platform for analysts and engineers. No more tool fragmentation—unified version control, dependency tracking, and rollback for both SQL and Python.
Install to your AWS account in under 5 minutes. Start querying within 60 seconds. Serverless architecture means no servers to manage, no ops expertise required.
Connect any tool (Spark, Trino, Presto, Dremio). Import from S3, Glue, or paste data directly. Never locked in—built on Apache Iceberg open standard.
Spin up private data lakes per team, share across departments, manage centrally. Organizational flexibility with data accessibility.
Modern React interface for browsing catalogs, building queries, and managing versions. No SQL required—intuitive IDE experience for all skill levels.
Serverless architecture built on modern cloud infrastructure. No servers to manage, infinite scalability. Deploys to your cloud account in under 5 minutes.
Download the Data Version desktop application for Windows, macOS, or Linux
Free for individual use • AWS account required for deployment
We're here to help you get started with Data Version