The integrity layer for modern data platforms.
Dextovio is automated reconciliation and partition-level repair for production tables. It continuously compares each table with its source, isolates the partitions that differ, and restores them only after your team approves. Every repair is rehearsed on an isolated copy, verified with row counts and checksums, and recorded in a complete audit trail.
Supports SQL, dbt and Spark workloads. Currently available to a limited number of organisations.
Successful runs. Incorrect data.
Illustrative example.
Reconcile. Repair. Verify.
From first detection to a verified result, with a person approving every change to production data.
Reconcile
82,140 rows vs 41,070 in source
Plan repair
1 partition affected, rehearsed on a copy
Approve
1 approval required before any write
Verify
Row counts and checksums match
Automatic rollback if a repair does not complete.
Governance and security.
Runs in your environment
Data stays in your infrastructure.
Read-only by default
Write access per table, when granted.
Role-based approval
Separation of duties, size limits, kill switch.
Full audit trail
Who, when, what changed, how verified.
Supported platforms.
Databricks
Apache Airflow
dbt
Apache Spark
SQL
SnowflakeIn development
Google BigQueryIn developmentRequest a demonstration.
Available to a limited number of organisations.
Data engineering services.
Alongside the product, Dextovio delivers data engineering engagements for organisations building or modernising their data platforms. We design and implement production-grade pipelines, automate recurring data work, establish consistent metric definitions, and build reporting your teams can rely on, starting from the business problem rather than the technology.