Powerful tools to address your most pressing data quality needs
Time travel capabilities let you roll back to any point in time, recover from errors, and audit all changes with detailed commit logs
Automated anomaly detection identifies data quality problems before they reach downstream systems and affect business decisions
Track schema evolution automatically, validate changes on write, and prevent breaking changes from disrupting your pipelines
Identify bottlenecks with partition intelligence, get optimization hints, and improve query performance with data-driven recommendations
Visualize data dependencies, assess impact before making changes, and trace data through your entire ecosystem
Generate professional HTML/PDF quality reports with just one command, perfect for sharing with stakeholders and team members
Feature tiers designed for different team needs
Built for performance, reliability, and efficiency
Harmoniously connect with your existing data ecosystem
Seamlessly work with Databricks Unity Catalog and Delta Lake tables for comprehensive data quality management.
Opt-in dbt plugin for data quality and profiling, execute Nessi.dev data quality rules against dbt models, enhanced model selection with dbt syntax, generate data profiles for Delta tables associated with dbt models, and automatic mapping between dbt models and Delta tables.
Seamless integration with Delta Lake on AWS S3, Azure Blob Storage, and GCP Cloud Storage for multi-cloud management.
Apache Airflow operators and sensors for Nessi.dev tasks, Prefect tasks and flows integration, Dagster ops and resources integration, Kubernetes operators for Nessi.dev jobs, workflow status monitoring and callbacks, and pipeline-aware data quality checks.
Join our growing community and access comprehensive resources
Full CLI reference, configuration guides, schema documentation, and best practices.
Browse DocsJoin our Slack/Discord community to connect with other users and the Nessi team.
Join CommunityExperience Nessi.dev today and transform your Delta Lake management.