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Hard sources — not covered by free tools
Also parsed — certify what free tools miss
For regulated enterprises running SAS, COBOL, Alteryx, Qlik, ODI, or DataStage. Row-level parity auditors accept. Atlas lineage that outlives the vendor tool. Air-gapped when the cloud tool cannot run.
Run a fixed SAS-to-PySpark sample and compare the original and converted code block by block. No signup required.
Open the SAS → Databricks example →Against free platform tooling
Lakebridge, Cortex conversion, and BigQuery Migration Service win on dialects they already read. We lead on the sources they do not fund, the evidence auditors accept, and lineage that outlives the vendor tool.
| Capability | Lakebridge (Databricks) | Cortex conversion (Snowflake) | BigQuery Migration Service | MigryX |
|---|---|---|---|---|
| SQL dialects → target | Yes, free | Yes, free | Yes, free | Yes — not the lead |
| Informatica, Teradata, DataStage | Yes (config-driven) | Informatica | Teradata, partial | Yes, deterministic parser |
| SAS Base / macros / IML | No | No | No | Yes |
| COBOL / copybooks / JCL | No | No | No | Yes — batch data only |
| Alteryx, Qlik, ODI, DataFlux | No | No | No | Yes |
| Row-level parity + exception report | Reconcile module | Limited | Limited | Audit-grade — the deliverable |
| Signed evidence pack | No | No | No | Yes (Atlas) |
| Cross-platform, as-of lineage | Unity Catalog only | Snowflake only | Dataplex only | Yes (Atlas) |
| Air-gapped / on-prem | No | No | No | Yes |
| Target-neutral output | Databricks only | Snowflake only | BigQuery only | Any |
Already mid-migration on a free tool? Certify the output and keep Atlas after the vendor tool is gone.
Moving to Databricks? Lakebridge handles the SQL. MigryX handles SAS, COBOL batch, and the proof.
SAS → Databricks pilot →Used by data teams in
Millions of lines of production code modernized, with every output validated against the original before go-live.
Pick your source — we'll show you every target we modernize it to, with validated parity. Hard sources first: the ones free migration tools don't parse.
Don't see your stack? Tell us what you're running →
Conversion coverage, delivery speed, and cost depend on your code and scope. Establish the baseline and measurement method in a pilot; generated code still needs execution and reconciliation before acceptance.
How It Works
From legacy code to production-ready modern output — validated before go-live.
Scan your legacy estate. Build inventory, lineage, and complexity scores.
Parser-driven translation to Databricks, Snowflake, BigQuery, PySpark, or any target.
Row-level comparison proves outputs match. Data parity before go-live.
Ship to production with orchestration, monitoring, and audit-ready logs.
See It Work
MigryX handles the entire modernization lifecycle — from code analysis through validated production deployment. The lineage it produces along the way doesn't have to end at go-live: that's Atlas.
Parser-driven translation to modern targets
Visual orchestration with centralized logs
Row-level parity proof before go-live
Validation
Every modernization ships with a validation report proving outputs match — row-level, column-level, aggregate-level. Auditors, risk teams, and regulators get audit-ready evidence without a separate reconciliation project.
MigryX Data Matching compares source and target outputs at scale. Configurable join keys, tolerance rules for floating-point precision and timestamp formats, and mismatch drill-down to the exact row and column.
Data Matching report — row-level parity validation
Atlas
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.
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.
Query any date to see what fed a report last quarter, and check blast radius before a change instead of explaining it afterwards.
An inbox of what actually needs a decision, with the same form for every connector. Warehouses enforce; the graph finds the gaps.
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. Review the connectors and source constructs needed for your estate, including non-SQL code parsed by MigryX.
Annual subscription, on-premise or air-gapped, your models and data staying yours. Buy it on its own, or alongside a modernization.
Use the same sample and acceptance criteria to compare delivery approaches. Ask to inspect the output, the exceptions, and the validation evidence.
MigryX uses source-specific parsers with optional AI assistance. Review a representative sample →
Deployment
Use the hosted SaaS portal at app.migryx.com with nothing to install (request access), or deploy in your own environment — Docker, Kubernetes, OpenShift, or a Windows VM, up in under an hour. Self-hosted, your source code never leaves your network.
app.migryx.com — nothing to install, modernize from your browser. Request access →
One-command install on-premises or in your private cloud — Docker, Kubernetes, or OpenShift. No outbound connections, fully disconnected operation supported.
SSO (LDAP, Okta, SAML), role-based access, and full audit logs — available when your security team asks for them.
Engagement options
Choose how much delivery responsibility you want MigryX to take. Every option uses the same conversion engine and the same row-level validation; what changes is who runs the work.
Bands are published, not estimated: annual Convert from $120K by estate size, same price on SaaS and self-hosted, true-up at the annual review rather than by metering. Guided and Full stack are priced on top of the band.
FAQ
Deterministic parsers handle 95%+ of typical code out of the box. Optional AI resolves ambiguous macros and undocumented logic, pushing accuracy higher. Every modernization ships with a validation report proving row-level parity.
Not unless you choose to. Self-hosted MigryX runs on-premises or in your own cloud — Docker, Kubernetes, or OpenShift, air-gapped capable — and your code never leaves your environment. Prefer zero setup? The SaaS portal at app.migryx.com runs the same engine in our secure cloud.
Partitioned validation compares row-level and aggregate outputs between legacy and modern targets. Automatic schema checks, data matching reports, and exception trails provide audit-ready evidence.
A free sample assessment is still available. Paid pilots: $15K readiness scan (1 week), $40K SAS (4–6 weeks, ~10K LoC), $75K mainframe batch, $25K certify. Fees credit 100% against a license within 90 days.
Not with Convert: it is software your team runs, with no services contract or RFP. If your team knows the legacy platform but not the target, Guided adds six months of execution, remediation, and reconciliation support. With Full stack, our engineers manage delivery end to end and hand over documented, readable code.
Sources: SAS, Talend, Qlik, DataStage, Informatica, COBOL, SSIS, Oracle PL/SQL, ODI, Teradata BTEQ, Alteryx, PySpark, DataFlux, and SQL. Targets: Databricks, Snowflake, BigQuery, PySpark, Polars, Fabric, Redshift, DBT, SQLMesh, and Python.
Start with a published pilot or a free sample assessment. License bands are on the pricing page. SI capacity is on /partners/. Questions: hello@migryx.com
Get Started
Start a credited pilot, certify a free-tool migration, or read how a direct or SI-led engagement runs. Want to see output before any fee? A free sample assessment is still the first rung.
Four published pilots: $15K readiness scan, $40K SAS pilot, $75K mainframe batch pilot, $25K certify pilot. Fixed scope, validated output, and every dollar credited against a license signed within 90 days.
Pick a pilot →Annual Convert bands from $120K, SI capacity from $200K, certify $60K–$150K, Atlas $90K/yr. Same price on SaaS and self-hosted.
Open pricing →Buy direct and run it with your team, Guided, or Full stack. Or bring your SI: capacity licenses from $200K/yr, enablement, and a sandbox are on the partners page. Certifying a free-tool migration is its own offer.
How we work → For SIs →Would rather talk it through before committing to anything? We will walk your workload, not a deck.
Book a 30-minute demo →
