[Interactive demo]
Walk the pipeline yourself.
Sample data, in your browser. A faithful simulation of the real flow. Approve or reject at step four and watch the score change.
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DataHub is a full-featured catalog with no license cost, and the reason more teams do not run it is that standing it up and keeping it fed is work. This agent does that work: authoring ingestion recipes, managing domains, tags and ownership, and keeping the catalog current.
Sample data, in your browser. A faithful simulation of the real flow. Approve or reject at step four and watch the score change.
Eight dimensions across every column, five of them shown here. Nothing is written; this is a read.
4,812 rows · 8 columns · 2 columns flagged · 2 for review
Table and column descriptions written from the profile and the column context. Every one is a draft until a steward accepts it.
1 table + 4 columns described · awaiting steward
Seven rules proposed from the profile. Each carries the proof that produced it, so approval is a judgment call rather than a leap of faith.
customer_id, Must not be null
Completeness
0.0% null across 4,812 rows. Already clean, worth enforcing as a hard constraint before it drifts.
customer_id, Must be unique
Uniqueness
4,812 distinct values across 4,812 rows. Uniqueness holds today; the rule locks it.
tax_id, Must match the tax ID format
Validity
97.2% of non-null values match the pattern. 118 do not, mostly nine-digit strings missing the hyphen.
tax_id, Null rate must stay under 5%
Completeness
12.2% null against a 5% domain threshold. 587 rows. This is the largest single rule failure in the table.
email, Must be a parseable email address
Validity
4,359 of 4,422 non-null values parse. 63 do not: trailing semicolons and two addresses in one field.
status, Must be one of the accepted values
Validity
Exactly 4 distinct values observed, all within the expected set. Cardinality of 4 on 4,812 rows reads as a controlled vocabulary.
country_code, Must exist in the country reference set
Consistency
47 distinct codes. Two (XK, AN) are absent from ref.country, affecting 12 rows. Neither is a current ISO 3166-1 code.
7 rules · 4 quality dimensions
Nothing reaches production without this step. Uncheck anything you would not stand behind. In the real product, the SQL is editable too.
customer_id, Must not be null
Completeness
0.0% null across 4,812 rows. Already clean, worth enforcing as a hard constraint before it drifts.
customer_id, Must be unique
Uniqueness
4,812 distinct values across 4,812 rows. Uniqueness holds today; the rule locks it.
tax_id, Must match the tax ID format
Validity
97.2% of non-null values match the pattern. 118 do not, mostly nine-digit strings missing the hyphen.
tax_id, Null rate must stay under 5%
Completeness
12.2% null against a 5% domain threshold. 587 rows. This is the largest single rule failure in the table.
email, Must be a parseable email address
Validity
4,359 of 4,422 non-null values parse. 63 do not: trailing semicolons and two addresses in one field.
status, Must be one of the accepted values
Validity
Exactly 4 distinct values observed, all within the expected set. Cardinality of 4 on 4,812 rows reads as a controlled vocabulary.
country_code, Must exist in the country reference set
Consistency
47 distinct codes. Two (XK, AN) are absent from ref.country, affecting 12 rows. Neither is a current ISO 3166-1 code.
7 of 7 approved, nothing will run
Approve at least one rule
Approved rules run against the table. Failures produce downloadable rejected records; scores register to the catalog.
97.7%
Overall score
93.9%
Completeness
100.0%
Uniqueness
98.7%
Validity
99.8%
Consistency
No rules approved, so nothing ran.
Back to approval7 rules executed · 780 rejected rows · scores registered to the catalog
No rules executed · nothing registered to the catalog
Often the fastest route to a working catalog for an organization with no governance budget and no appetite for a suite.
Runs governance natively inside Databricks Unity Catalog, no external suite in the loop.
Operates Microsoft Purview and Fabric governance from a conversational interface.
Governs the AWS Glue Data Catalog and Lake Formation without a third-party catalog.
Runs the day-to-day work of your catalog whenever you ask in plain language.
One command takes a new dataset from unknown to governed.
Discovery is read-only, takes five days, and costs nothing. We assess your environment and tell you honestly whether this agent is worth your time.
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