A blind spot in one system breaks the chain. If your lineage stops at the modern tools, you cannot prove where regulated data came from, predict what a change will break, or protect the data feeding your reporting and AI. Solidatus reaches deep into modern platforms and into the legacy, mainframe, and hard-to-instrument systems other tools leave out. That completeness turns a static metadata record into lineage you can use for impact analysis.
Solidatus integrations pull rich detail from each system, including metadata, transformations, and column-level lineage with stored-procedure parsing. They extract more than most tools, so you can trust what the map shows and trace an issue to its root.
Ingest metadata, lineage, and transformations from each system into a model, reference model, or properties, via API or file. Solidatus integrations extract deeper detail than most tools, so you can trust your data.
Beyond a system’s structure, Solidatus captures column-level lineage and parses stored procedures, so you can trace an issue to the exact field and see what it touches.
Solidatus integrations don’t require support to run. We still recommend a consultative, hands-on rollout with the Solidatus team so your first integration succeeds.
Some systems need discovery, planning, and expertise to connect. A Solidatus Solution pairs a deployable integration with services for technologies such as the mainframe, Microsoft Purview, and Microsoft Fabric.
Deployable integrations paired with the services that connect harder technologies.
Two-way integration with Microsoft Purview Data Governance.
End-to-end lineage for data products across Fabric.
Two-way integration with your mainframe systems.
Ingest automated lineage events from Spark, Airflow, and dbt.
Reaching every system shows up in the numbers. At HSBC, two people modeled the entire wholesale credit and lending book in under six months, spanning 2,000 source tables, 80,000+ fields, and 45 source systems on one unified model. BCBS 239 and DORA reporting demand exactly this breadth of coverage.
“Only Solidatus gives you this level of control.” — Former Head of Wholesale Credit and Lending Data, HSBC
01.
Solidatus integrates with cloud and on-premises data platforms, warehouses, BI tools, ETL, and catalogs, including Snowflake, Databricks, Google BigQuery, Amazon Redshift, Oracle, SAP, Salesforce, Tableau, Informatica, and Collibra. It also supports the OpenLineage standard and reaches legacy and mainframe systems that scan-only tools miss.
02.
Yes. Solidatus ingests OpenLineage events from tools like Spark, Airflow, and dbt, at runtime or before deployment, then stitches them into a governed, version-controlled lineage model with business context and point-in-time audit history.
03.
Yes. Beyond modern platforms, Solidatus reaches mainframe, legacy, and hard-to-instrument systems through deployable integrations paired with expert services, so your lineage runs end to end from cloud to mainframe rather than stopping at the first system a scanner cannot read.
04.
An Integration is a deployable connector that extracts metadata, lineage, and transformations from a system. A Solution pairs that technology with services, including discovery, expertise, implementation, and ongoing support, for technologies that need more configuration, such as mainframe, Microsoft Purview, and Microsoft Fabric.