IBM Manta Data Lineage Alternative: Column-Level Lineage Without the Platform

What happened to Manta

Manta Software Inc. was a Prague-based company that spent a decade building the most thorough automated lineage parser in the industry. IBM acquired it outright on 24 October 2023. The announcement was written by Tarun Chopra, IBM Software's VP of Product Management for Data and AI, and its wording was unambiguous: "Today, IBM is announcing that it has acquired Manta Software Inc, a world-class data lineage platform, to complement its capabilities within watsonx.ai, watsonx.data and watsonx.governance." Financial terms were not disclosed.

The more useful fact for a buyer in 2026 is what has happened since, and it is not widely written up. The standalone IBM Manta Data Lineage product page no longer exists. Request ibm.com/products/manta-data-lineage today and you land on ibm.com/products/watsonx-data-intelligence/data-lineage, where the capability is presented as the "Data Lineage" pillar of watsonx.data intelligence alongside governance and catalog, data quality and data sharing. IBM's own page taxonomy still carries the ancestry in its breadcrumb metadata: Data Platform, Data Fabric, Data Intelligence, Manta.

Manta's own domain now tells the same story: manta.io redirects to that IBM page, and the old getmanta.com no longer resolves at all.

Budget an hour for the naming alone, because the same product answers to three different names depending on which document you are reading. Marketing calls it watsonx.data intelligence data lineage. Sales and support call it IBM Manta Data Lineage. And IBM's technical documentation, at ibm.com/docs/en/manta-data-lineage, titles the product "IBM Automatic Data Lineage". Those docs are actively maintained, carrying revision dates in May 2026, so this is an absorbed product rather than an abandoned one. What changed is the purchase. You are no longer buying a lineage tool from a lineage company. You are buying a capability inside IBM's data intelligence platform, with IBM's sales motion, contract structure and roadmap attached. For a large enterprise already standardized on IBM, that is a feature. For a data team that wanted a lineage product, it is the reason this page exists.

What IBM Manta genuinely does well

Manta earned its reputation on the hardest technical problem in lineage: reading the actual code rather than trusting documentation. It parses SQL scripts, stored procedures, ETL job definitions and BI report internals, then resolves the result down to individual columns with the transformation logic attached. IBM markets "over 50 technologies, programming languages, databases and modeling tools" and advertises "historical lineage at the column level," which is a genuinely rare combination.

The scanner list is where the moat sits, and it is unfashionable on purpose. IBM's scanner documentation covers IBM Cognos, IBM InfoSphere DataStage, Db2 and Db2 for z/OS, Netezza, Informatica PowerCenter, Microsoft SQL Server with SSIS, SSAS and SSRS, Oracle and Oracle Data Integrator, Teradata, Greenplum, SAS, SAP BusinessObjects BI, SAP PowerDesigner, erwin, ER/Studio, Qlik Sense, MicroStrategy and Talend, alongside modern targets like Snowflake, BigQuery, Redshift, Hive, Tableau and Power BI. There is an OpenLineage scanner too. Very few products can trace a column from a Cognos report back through a DataStage job into a Db2 for z/OS table, and Manta is one of them.

It is also built for scale. Manta's lineage graph runs on Neo4j, and IBM's customer story describes tens of millions of relationships between assets for large banking, insurance, manufacturing and government deployments. If your lineage problem is a thirty-year-old estate that nobody living fully understands, this is the right category of tool and Datatrail is not a substitute for it. Buy the right thing.

Why teams look for an IBM Manta alternative

Three reasons come up repeatedly, and only the first is about the acquisition.

• The stack does not match the tool. Manta's depth is in code parsing across legacy ETL, stored procedures and enterprise BI. If your data lands in Snowflake, BigQuery or Databricks, is transformed in dbt, and surfaces in Looker or Power BI, most of that scanner catalog is coverage you will never switch on, and you are paying for an engine built for a different decade of problems.
• It is bought, not tried. IBM publishes no pricing for it. The watsonx.data intelligence pricing URL redirects to the product overview rather than a price list, and the route in is a free trial or a demo request that leads to a scoping conversation. Deployment is an enterprise project, historically on Cloud Pak for Data, not a Tuesday afternoon.
• Platform gravity. A focused tool that becomes one pillar of a platform gets sold, priced and roadmapped as part of that platform. Teams who wanted lineage rather than a data fabric relationship tend to start looking again at renewal.

There is a scope difference worth naming plainly too. Manta is a lineage and metadata engine. It is not a data reliability product: continuous freshness checks, volume anomaly detection and schema-drift alerting are not what it was built to do. If you want lineage and to be told that a table went stale overnight, that is two purchases there and one here.

Code parsing breadth versus modern warehouse depth

The honest way to choose is to ask where your lineage actually breaks today, and the sharpest way to see the difference is in IBM's own words. Its documentation states that "Automatic Data Lineage looks exclusively at metadata (code, schema definitions, etc.) when performing lineage analysis" and that it "generally does not require or use direct access to any formal data".

So Manta tells you what your code says will happen. That is its strength, because code covers paths that have never executed: a stored procedure that has not run this quarter still gets mapped. It is also its limit, because code cannot tell you that the nightly load stopped landing three days ago, or that an analyst has been reading a staging table through ad hoc SQL that exists in no repository. There is a currency dimension too. Lineage arrives through scans that administrators configure into workflows in Manta Process Manager and run on whatever cadence the site chooses, each producing a numbered revision, so the graph is as current as the last scan rather than as current as the warehouse.

IBM Manta optimizes for heterogeneity and code archaeology. Its value scales with how many different, old, incompatible systems you must stitch into one graph, and with how much business logic is buried in stored procedures that no catalog can see. That capability is expensive to build and it is priced accordingly.

Datatrail optimizes for depth on the modern stack. It parses your warehouse query history and dbt manifest into column-level lineage, which means it follows data past the dbt boundary into the ad hoc SQL and scheduled jobs that dbt never sees. From that same graph it computes downstream impact: every model, exposure and dashboard reading a field you are about to change, before you merge rather than after a dashboard breaks. Schema change and freshness monitoring run on the graph too, so an alert arrives ranked by what it breaks.

It connects read-only, the price is planned to be on the pricing page, and it is built to be live in minutes because there is no metadata harvesting project to run first. For the wider field see our roundup of data lineage tools and the broader metadata management tools comparison. If you are weighing the category distinction, data lineage vs data catalog unpacks it, and OpenLineage covers the open standard both Manta and Datatrail can consume.

Both pure-play lineage vendors are gone

Worth zooming out, because it explains why this search is harder than it used to be. The two best-known independent data lineage companies have both been absorbed into platform vendors, roughly a year apart.

• Manta went to IBM on 24 October 2023 and is now the lineage layer of watsonx.data intelligence.
• Octopai went to Cloudera in November 2024 and is now sold as Cloudera Data Lineage. See our Octopai alternative page for that story.

The same thing happened one tier down. Select Star was acquired by Snowflake in November 2025, Secoda by Atlassian in December 2025, CastorDoc by Coalesce in March 2025, and Informatica itself by Salesforce in November 2025. Lineage is being folded into platforms because it makes the platform stickier. That is rational for the acquirers, and inconvenient for a data team that wants lineage without adopting a platform. That gap is what Datatrail is built for, and it is why we publish a price instead of a demo form.