AI Proof Pricing Book a demo Scan your code free

Hard sources — not covered by free tools

Also parsed — certify what free tools miss

Targets

DatabricksSAS and mainframe batch

Warehouses

Runtimes

After migration

AtlasLineage and signed evidence

Atlas

Prove where every number came from. On the date the regulator asks about.

Atlas is column-level lineage for the whole estate that keeps history and signs the evidence. Query the graph as it stood on the incident date, across every platform, including the SAS and COBOL behind the warehouse. Hand risk, audit, or the examiner a pack they can verify. Sold on its own; no migration required.

Book a 30-minute demo Atlas alone, or with MigryX

Built for the people who have to sign

CDO / Head of Data

Close the lineage finding with evidence, not a diagram. One graph from source to report, independent of any single cloud catalog, and history that survives staff turnover.

Risk, audit, model risk

BCBS 239, SOX, and model-validation traceability that cites the line of code behind each column. Snapshot dates, diffs, and a signed pack for the binder.

Platform and architecture

Blast radius before you change a Gold table. Suspect changes, with the actor and the before/after state, after a report breaks.

What Unity Catalog, Cortex, and Dataplex do not do

Platform lineage is free and worth using. It stops at four places a regulated buyer cannot.

Capability	Platform-native lineage	Atlas
Scope	One platform: what that warehouse ran	Every source on one graph: Oracle, SQL Server, Teradata, Snowflake, Databricks, BigQuery, Python, and the SAS, COBOL, and ETL code behind them
History	Today's graph	The graph as of any date. "What did this look like on March 12?" is a query, not a war-room screenshot
Evidence	A screen to look at	A signed, verifiable pack: lineage slice, mappings with expressions and code references, parity scorecard
Independence	Tied to the platform and its migration tool	Runs on-prem or air-gapped. Outlives Lakebridge, Cortex, or BQMS once the migration is done

Collibra, Alation, and Atlan govern names on objects a crawler saw. IBM MANTA maps the last crawl. Atlas parses the code, keeps the history, and signs the proof. It sits beside the catalog you already own.

What you get

Column-level lineage

Every edge carries the expression and a reference to the line of source that created it. Not "table A feeds table B."

As-of history

Atlas keeps every snapshot instead of overwriting. Compare two dates. Answer for the incident date, not last Tuesday.

Impact and investigation

Pick a table or column and get the downstream blast radius with severity. Bracket a break and get the suspect changes, with actor and diff.

Signed evidence pack

Lineage slice, source-to-target mappings, rules, parity scorecard, verifiable signature. Attach it to a change request or an exam response.

Also in the product: a governance inbox that flags classified Silver feeding unclassified Gold and missing mask intent; stable public ids you can paste into a ticket; target-schema design from the trace for teams that go on to modernize; Ask AI on your own model, or with AI off.

Keep the lineage you build during migration.

Getting to production means mapping every column across your legacy estate. That map is the most accurate picture of your data your organization has ever had — and it usually dies with the project. Atlas keeps it: column-level, versioned by date, and governed. It runs on what MigryX produces, or entirely on its own with no modernization involved.

Lineage with the expression

Column to column, and the statement that created the edge — not a table-level guess drawn from metadata. Every edge has an id you can paste into a ticket.

The graph as it was

Query any date to see what fed a report last quarter, and check blast radius before a change instead of explaining it afterwards.

Governance as work, not a dashboard

An inbox of what actually needs a decision, with the same form for every connector. Warehouses enforce; the graph finds the gaps.

Design the target, then prove it

Describe the schema you want rather than cloning the old one, then show the same data still feeds it — with an evidence pack nobody can quietly alter.

Use Atlas to keep source-to-report dependencies available for impact analysis after migration, including non-SQL code parsed by MigryX. Annual subscription, on-premise or air-gapped. Buy it on its own, or alongside a modernization.

Whole estate, one graph

Atlas on its own

SQL dialects: Oracle and PL/SQL, T-SQL, Teradata, DB2, Netezza, Postgres, Snowflake, Databricks, BigQuery, Redshift, Hive.
Python, PySpark, dbt, and SQLMesh projects.
Connectors to eleven warehouses pull DDL and query history. Git commits become lineage snapshots.
OpenLineage events and lineage JSON from any engine you already run.

With the MigryX add-on

SAS Base, macros, PROC SQL.
COBOL, copybooks, JCL.
DataStage, Informatica, Alteryx, Talend, Qlik.
The column a SAS DATA step kept lands next to the warehouse hop it feeds. If you later modernize, MigryX builds from the pack Atlas signs.

Bare SQL files ingest with no preparation. A pilot starts the same week, not after a metadata project.

On-prem and air-gapped

Same product behind the firewall. No cloud egress required. .

AI on your terms

Bedrock, Cortex, Gemini, OpenAI, or a private endpoint. No public-LLM default. Parsers, graph, and packs work with AI off.

Warehouses enforce

Atlas never runs masks, grants access, or pushes tags without a preview you approve. It defines and proves the gap; a person decides.

Annual subscription. Atlas alone, or attached.

Licensed to your enterprise directly, including on SI-led programs.

Atlas

Standalone, for CDO, risk, and audit teams with a lineage finding. No modernization required.

Column-level lineage, as-of history, impact and investigation.
Signed evidence packs and governance inbox.
SQL, Python, dbt, SQLMesh, OpenLineage, Git, eleven warehouse connectors.

Atlas + MigryX

When attached to a MigryX conversion license, the lineage your migration produces does not die at go-live.

Everything in Atlas.
SAS, COBOL, DataStage, Informatica, Alteryx, Talend, and Qlik on the same graph.
The lineage your migration produces does not die at go-live.

Already converting with Lakebridge, Cortex, or BigQuery Migration Service? Certify that output and keep Atlas afterwards. ·

The 30-minute demo

No slides. Bring the ugliest pipeline you have: a SQL repo, a notebook, a warehouse schema, or a SAS job if MigryX is in scope.

0:00

Ingest your sample, or a bank-style pack that looks like it.

0:10

Follow one report column to its source expression. Set the date back and watch the graph change.

0:18

Run impact on a Gold table. Open the inbox on that path.

0:25

Download the signed pack. You decide: Atlas alone, or attached.

Book the 30 minutes See the pilots

Questions buyers ask

Is Atlas the same as MongoDB Atlas?

No. MigryX Atlas (Automated Trace, Lineage & Schema) is data lineage and evidence software for regulated data estates. It is not MongoDB Atlas, the cloud database service.

Does Atlas require MigryX?

No. Atlas is sold on its own. It parses SQL, Python, and PySpark, pulls metadata from eleven warehouses, and accepts dbt, SQLMesh, OpenLineage, Git, and lineage JSON. MigryX is an optional add-on that puts SAS, COBOL, DataStage, Informatica, Alteryx, Talend, and Qlik on the same graph.

How is Atlas different from Unity Catalog, Cortex, or Dataplex lineage?

Platform lineage shows today's graph, on that platform, for code that platform can read, with no signature. Atlas spans every platform, keeps history so you can query the graph as of any date, includes the SAS and COBOL behind the warehouse when MigryX is attached, and signs an evidence pack a risk committee can verify. It also runs air-gapped.

How is Atlas different from Collibra, Alation, or IBM MANTA?

Catalogs govern names on objects a crawler saw. Scanners map the last crawl. Atlas parses the code, keeps the history, and signs the proof. It sits beside the catalog you already own; it does not replace it.

What is in the signed evidence pack?

The lineage slice for the scope in question, source-to-target mappings with expressions and code references, the rules attached, a parity scorecard, and a verifiable signature. Attach it to a change request, an exam binder, or an audit response.

Can Atlas run on-premises or air-gapped?

Yes. Same product behind the firewall, no cloud egress required. AI runs on a model you approve, and its output goes through the same parity checks. The parsers, graph, and packs also work with AI turned off.

Can we get lineage from SAS, COBOL, DataStage, Informatica, Alteryx, and Talend?

Yes, with the MigryX add-on. MigryX parses those languages and platforms and Atlas places every column next to the Oracle, Snowflake, Databricks, or BigQuery hop it feeds. No catalog or scanner sells that coverage.