PipelineX — IO Pipelines Platform

Every catalog, asset, and report —
traced to its source

PipelineX is the DataStage migration platform that connects data lineage, enterprise cataloging, and source discovery with a real migration engine — 200+ function translations across three target platforms, complexity scoring, generated PySpark, Fabric, and Snowpark code, and post-migration reconciliation. See your full data estate, move any part of it to an AI-ready platform, and prove the result matches.

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Core capabilities

Lineage, catalog, discovery, and migration — connected

Each capability works independently. Together, they give you the complete picture of your data estate — and the evidence to move it.

Data Lineage

Trace any report, dashboard, or dataset back through every transformation to its raw source. Column-level — not table-level. Across your databases, DataStage, and cloud platforms in one connected graph.

  • Column-to-column lineage, not just system-to-system
  • Forward and backward impact tracing
  • Cross-platform graphs spanning databases through cloud
  • Audit-ready provenance export

Enterprise Catalog

Discover and classify every data asset across your database schemas, DataStage repositories, flat files, and cloud storage. Business context, ownership, and classification — in a searchable catalog your whole organization can use.

  • Automated discovery across all source types
  • Sensitive data classification at ingestion
  • Business glossary with owner assignment
  • Lineage linked from every catalog entry

Source Discovery

Automatically scan your databases — SQL Server, Oracle, PostgreSQL, and more — and file systems to inventory your full data estate, including assets teams didn't know existed. Migration plans start from a complete map, not assumptions.

  • Schema, view, and stored-procedure scanning across SQL Server, Oracle, PostgreSQL, and more
  • SQL Server and flat-file inventory
  • Cross-schema dependency extraction
  • Complexity scoring per discovered object

DataStage Analysis

Extract the full structure of your DataStage estate: every job, stage, dependency, shared container, and parameter set. Each job is scored Simple, Moderate, or Complex with an estimated effort, so you can prioritize 500 jobs before writing a line of replacement code.

  • Parallel and server job parsing from DSX/ISX exports
  • Complexity scoring with effort-hour estimates
  • Every stage type mapped to its modern equivalent, limitations documented
  • Dependency graph that orders jobs into safe migration waves

Code Generation

PipelineX doesn't stop at analysis — it generates migration-ready code. PySpark notebooks for Databricks, pipeline JSON for Microsoft Fabric, and Snowpark scripts for Snowflake, with 200+ DataStage functions translated to each target's SQL dialect.

  • PySpark, Fabric pipeline JSON, and Snowpark output
  • 200+ function translations across all three targets
  • Orchestration emitted from your job sequences
  • Gaps flagged inline so nothing converts silently wrong

AI Assistant & Search

Ask your estate anything in plain English — and ask the migration questions too. What's the Spark equivalent of this DataStage function? Why is this job scored Complex? What order should I migrate in? The assistant answers from 250+ indexed migration docs and the live lineage graph.

  • Function translation, complexity, and stage-mapping answers
  • Recommends migration order from the dependency graph
  • Enterprise search (Cmd+K) across every job, table, column, and stage
  • Answers with the source path, not just search results

The migration engine

Analysis is table stakes. PipelineX writes the code and proves it.

Most migration tools tell you what you have. PipelineX scores it, translates it, generates runnable code for three platforms, and reconciles the result against your source — so you ship with evidence, not hope.

200+

DataStage functions translated

3

Target platforms generated

7

Point validation checklist per job

250+

Migration knowledge docs indexed

Function Translation Engine

Over 100 DataStage functions — date math, null handling, string operations, surrogate keys, system tokens — translated to Spark SQL, Fabric T-SQL, and Snowflake SQL. Lossy conversions are flagged with notes, never hidden.

  • One source function, three target dialects
  • Date, string, math, null, and system-token coverage
  • Surrogate-key and sequence handling
  • Lossy translations annotated, not silently dropped

Complexity Scoring & Wave Planning

Every job scored Simple, Moderate, or Complex with an estimated effort in hours, then organized into dependency-safe migration waves. Turn an estate of 500 jobs into an ordered, fundable plan.

  • Per-job complexity score and effort estimate
  • Dependency-ordered waves — nothing moves before its upstream
  • Prioritize the quick wins and isolate the hard jobs
  • Estate-level roll-up for sprint and budget planning

Multi-Target Code Generation

Not just analysis — actual output. PipelineX generates PySpark notebooks for Databricks, pipeline JSON for Microsoft Fabric, and Snowpark scripts for Snowflake, with orchestration emitted from your job sequences.

  • Databricks PySpark notebooks
  • Microsoft Fabric pipeline JSON
  • Snowflake Snowpark scripts
  • Orchestration IR rebuilt from DataStage sequences

Post-Migration Reconciliation

Prove the migrated job matches the original. Schema comparison, row-count validation, data sampling with SHA-256 hashes, and aggregation parity — rolled into a 7-point sign-off checklist and an HTML report.

  • Schema and row-count comparison, source vs target
  • SHA-256 sample hashing and aggregation parity
  • 7-point validation checklist per job
  • Shareable HTML reconciliation report

Stage Mapping Intelligence

Every DataStage stage type mapped to its modern equivalent, with limitations documented up front. Connectors resolve to their system type, so a Transformer, Lookup, or Aggregator already has a target shape before you touch it.

  • Stage-by-stage modern equivalents
  • Documented limitations and caveats
  • Connector-to-system-type resolution
  • No guessing what a stage becomes on the lakehouse

Downloadable Migration Bundle

One click produces a complete migration package for a job: the generated code, the reconciliation report, and the validation checklist together — ready to hand to an engineer or attach to a change ticket.

  • Generated target code included
  • Reconciliation report bundled in
  • Validation checklist for sign-off
  • Self-contained, ready to ship

Beyond conversion

More than a code transpiler

A transpiler converts code to one platform and stops. A migration needs the discovery that tells you what to convert, the lineage that tells you the blast radius, and the reconciliation that proves the result. PipelineX does all of it — for three targets, not one.

A code transpiler alone

  • Targets a single platform — typically Databricks only
  • Converts code, but doesn't discover or inventory the estate
  • No complexity scoring or dependency-ordered wave plan
  • No post-migration reconciliation to prove parity
  • Converts the deterministic cases, but leaves edge cases silently wrong

PipelineX, the platform

  • Generates code for Databricks, Microsoft Fabric, and Snowflake
  • Discovery and catalog of the full estate before a job moves
  • Complexity scoring and dependency-safe wave planning
  • 7-point reconciliation with an HTML report at every step
  • 200+ documented function translations, with edge cases flagged inline

For a factual, side-by-side breakdown of a full migration platform versus a code-only transpiler, see the DataStage vs Databricks comparison.

Product tour

See PipelineX in action

A look at the four views your team works in every day — assistant, catalog, lineage, and migration planning.

AI Assistant

Ask your data estate anything

Type a question in plain English — "Which jobs feed the finance daily report?" or "Where does this revenue column come from?" PipelineX answers from your live catalog and lineage graph, naming the exact jobs, tables, and transformations behind every result.

Every answer links straight to the source asset — so you can verify it, not just trust it.
PipelineX AI Assistant answering a natural-language question about the data estate, with cited source jobs and tables
The PipelineX Assistant resolves plain-English questions against your catalog and lineage — and shows its work.
Data Catalog

Browse and discover every asset

One searchable catalog spanning your databases (SQL Server, Oracle, PostgreSQL, and more), DataStage repositories, flat files, and your cloud platforms. Filter by owner, classification, or platform — then open any asset to see its description, sensitivity, and the lineage running through it.

Sensitive-data tags and ownership are applied automatically at discovery — no manual cataloging sprint required.
PipelineX data catalog listing assets across databases, DataStage, and cloud platforms with owner and classification columns
Thousands of assets in one place — each one classified, owned, and linked to its lineage.
Data Lineage

Trace any report to its source

Click a report, dashboard, or single column and PipelineX draws the full path back through every transformation to the raw source — at column level, not just table level. Expand the graph to see exactly what a change will affect before you make it.

Column-level provenance is the evidence auditors ask for under BCBS 239, GDPR, and SOX — generated, not hand-drawn.
PipelineX column-level lineage graph tracing a report field back through transformations to its source columns
Follow a single value from final report back to its original source column, across every platform in between.
Migration Planning

See your DataStage-to-Databricks path

PipelineX scores every DataStage job for complexity, orders them into dependency-safe migration waves, and maps each one to a recommended target on Databricks, Microsoft Fabric, or Snowflake. You get a sequenced plan with effort estimates before a single job is rebuilt.

Waves are ordered so no job moves before the jobs it depends on — the plan can't strand a downstream report.
PipelineX migration wave plan mapping scored DataStage jobs to Databricks, Fabric, and Snowflake targets
Every job scored, sequenced, and assigned a target — your DataStage-to-cloud plan on one screen.

Want to see these capabilities against your own DataStage estate?

We'll run a live demo using your actual job structure. No slides. No pre-canned data. Just your estate, mapped.

Book a live demo

How it works

From DataStage to wherever you're going next

PipelineX scans your databases and DataStage sources, then maps your DataStage estate to your cloud target through a single lineage graph — so every migration decision starts from a complete, accurate picture of what you already have.

Databases

Schemas & procedures

DataStage

ETL jobs & sequences

PipelineX

Score · Translate · Generate · Reconcile

Databricks

Delta Lake & Unity Catalog

Microsoft Fabric

Lakehouse & Warehouse

Snowflake

Data Cloud

Why migrate now

Agentic AI needs modern data infrastructure

AI agents, ML pipelines, vector search, and real-time inference all run on cloud lakehouses and warehouses — not on a proprietary on-premises ETL engine. As long as your pipelines live in DataStage, the data those workloads need stays locked behind a platform that can't reach them. Every PipelineX capability exists to close that gap.

DataStage: the AI dead-end

  • No native ML serving, feature stores, or LLM pipelines
  • Proprietary job formats AI tools can't read — data must be copied out first
  • Batch-only; no real-time or streaming feature paths
  • On-premises, with lineage gaps that fail regulated-AI governance

PipelineX: the bridge to AI-ready

  • Lands jobs on Databricks, Fabric, or Snowflake — where AI is first-class
  • Governed tables feed analytics, BI, and ML with no extra copies
  • Captures column-level lineage so AI workloads inherit provenance
  • Reconciliation proves the AI-ready data still matches the source

The migration is the AI-readiness project. Read why data migration must come before AI.

Migration story

From DataStage to the cloud — without the guesswork

PipelineX gives you the complete picture before you start migrating — scope, risk, dependencies, and sequencing all in one place.

Step 1

Discover

Scan all DataStage jobs, database schemas, and downstream reports automatically.

Databases · DataStage
Step 2

Score

Tier every job Simple (~4h), Moderate (~8h), or Complex (24–80h), and order dependency-safe waves.

3-Tier Scoring
Step 3

Generate & Reconcile

Emit target code via 200+ translations, then validate it with the 7-point reconciliation report.

Codegen · Reconcile
Step 4 — Target

Databricks

Delta Lake pipelines with Unity Catalog lineage and governance.

Databricks
Step 4 — Target

Microsoft Fabric

Fabric Lakehouse and Data Warehouse with native integration.

Fabric
Step 4 — Target

Snowflake

Snowpark-native pipelines with Horizon governance.

Snowflake

Migrating DataStage to Databricks, Fabric, or Snowflake?

Let us walk you through how PipelineX handles your specific job types and sequencing — before you commit a single sprint of engineering effort.

Schedule a migration walkthrough

Who it's for

Three roles. One platform. No more tribal knowledge.

Data Engineers
  • Understand impact before making changes
  • Find reusable patterns across thousands of jobs
  • Generate migration wave plans automatically
  • Debug lineage breaks without tribal knowledge
Data Architects
  • Enforce data standards across the entire estate
  • Assess platform fit for cloud migration targets
  • Produce audit-ready column lineage documentation
  • Drive consistent cataloging and ownership
Public-Sector IT
  • Satisfy audit and compliance data-provenance requirements
  • On-prem or private-cloud deployment options
  • Role-based access and column-level masking
  • Migration scoping with documented rationale

Explore by Use Case

Migration Solutions & Resources

Solution

DataStage Migration

Assessment to cutover →

Solution

Enterprise Data Lineage

Column-level, cross-platform →

Solution

Data Catalog Platform

Discover & classify every asset →

Guide

DataStage Migration Guide 2026

6-phase migration playbook →

Guide

Enterprise Data Lineage Guide

How to build from scratch →

Guide

ETL Modernization Guide

Legacy ETL to AI-enabled →

Get started

See PipelineX in your environment

Our team will walk you through a live demo using your own pipeline estate. No slides. No pre-canned data.

Book a Demo Talk to an expert