AI
Proof
Pricing
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Hard sources — not covered by free tools
Also parsed — certify what free tools miss
Runtimes
After migration
Deterministic parsers convert SAS to Databricks, or to Snowflake, BigQuery, and Python. MigryX AI resolves the macros and logic parsers cannot, and every result is proven to match.
MigryX AI
Every SAS job runs through the same loop. Nothing is accepted until the outputs match the original.
SAS parsers rewrite DATA steps, PROCs, and macros deterministically.
Data Matching compares target output to the SAS output, row by row.
MigryX AI reads the exception report and logs, and proposes a fix for the blocks that differ.
The fix is validated again. It is accepted when it matches, or goes to an engineer when it does not.
Pick a target. We rewrite the workload for it — not SAS sitting on a cheaper server.
Need a different target? Tell us what you need →
Why this is different
Moving SAS onto a cloud VM, or wrapping DATA steps in Python, is the same job in a new costume. We rewrite the workload for the platform you actually want to run.
Moving to Databricks? Lakebridge handles the SQL. MigryX handles SAS, COBOL batch, and the proof.
Book a demo →Who we have worked with
A customer is an enterprise. A migration is one source-to-target program. 18 + 7 + 3 = 28 customers, across North America, Europe, Asia, and Oceania. 23 of them have a migration on the case-studies page. The other 5 are shared only under NDA. We do not publish names. A reference call can be arranged in a demo.
SAS
DataStage
Alteryx
Talend
Oracle ODI
Mainframe COBOL
Databricks
PySpark
Snowflake
dbt
Google Cloud
Python
Informatica16 of the 23 migrations run on Spark. Databricks is listed first.
6 + 3 + 2 + 1 + 1 + 1 + 1 + 1 + 1 + 1 = 18
2 + 1 + 1 + 1 + 1 + 1 = 7
1 + 1 + 1 = 3. Then 18 + 7 + 3 = 28 customers.
Want to hear it from a customer? Ask in your demo and we will arrange a reference call with a team that ran a similar migration.
Ask for a reference callHow It Works
Discover the estate. Rewrite it. Prove every row. Then go live.
Scan your SAS estate. Build inventory, lineage, and complexity scores.
Parsers translate the SAS and MigryX AI resolves what they cannot. Databricks first, or any target.
Row-level comparison proves outputs match. Data parity before go-live.
Ship to production with orchestration, monitoring, and audit-ready logs.
Walkthrough
Nine minutes, one production job, start to finish. Nothing sped up.
Recorded on an earlier build — the portal has since been redesigned. See the current one and convert a job yourself →
See It Work
Discovery, rewrite, validation, lineage, and docs — one platform, not a rehost.
Inventory, lineage, complexity scoring
Parsers plus MigryX AI, Databricks first
Visual orchestration with centralized logs
Row-level parity proof before go-live
AI assist in your environment. Every output it touches is still validated.
Why MigryX
General-purpose LLM tools guess. SAS-compatible runtimes and vendor cloud moves keep you in SAS. Manual rewrite engagements run for years. MigryX parses your code with purpose-built compilers, then proves every row matches the original. Parsers where it must be exact. AI where it helps. Proof on every row.
| Capability | MigryX | AI / LLM | WPS (World Programming) | SAS Viya | Professional Services Companies |
|---|---|---|---|---|---|
| Leaves SAS — not lift-and-shift | ✓ | ~ | ✗ | ✗ | ✓ |
| Deterministic parser (95%+ accuracy) | ✓ | ✗ | N/A | N/A | ✗ |
| SAS can actually leave | ✓ | ✓ | Still pays WPS | Still pays SAS | ✓ |
| Row-level validation / data parity proof | ✓ | ✗ | N/A | N/A | ~ |
| Multi-target (Databricks, Snowflake, BigQuery, PySpark, Polars) | ✓ | ✗ | ✗ | SAS only | ~ |
| Self-service software (no consultants required) | ✓ | ✓ | ✓ | ✓ | ✗ |
| Column-level data lineage & STTM | ✓ | ✗ | ✗ | ✗ | ✗ |
| Full SAS coverage (Base, DI Studio, EG, Viya, macros, PROCs) | ✓ | ~ | ✓ | ✓ | ~ |
✓ Full support ~ Partial / limited ✗ Not supported N/A = Not a modernization tool
Deployment
Use the hosted SaaS portal at app.migryx.com with nothing to install, or deploy in your own environment — Docker, Kubernetes, OpenShift, or a Windows VM, up in under an hour. Self-hosted, your SAS code never leaves your network.
app.migryx.com — nothing to install, start modernizing from your browser. Request access →
One-command install on-premises or in your private cloud. No outbound connections, no external API calls — fully disconnected operation supported.
SSO (LDAP, Okta, SAML), role-based access, and full audit logs — there when your security team asks for them.
Engagement options
Choose how much delivery responsibility you want us to take. Every option uses the same SAS parsers and the same row-level validation; what changes is who runs the work.
Free guides
Practical guides from the teams that run these migrations. Pick one and enter your work email to open it.
No. Lift-and-shift puts SAS on a cheaper server, or wraps DATA steps in Python that still process one row at a time. We rewrite the workload as native Spark, SQL, and Python, then prove every row matches the original.
Deterministic parsers handle 95%+ of typical SAS code out of the box. MigryX 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 SAS and modern targets. Automatic schema checks, data matching reports, and exception trails provide audit-ready evidence.
Install takes under an hour. A first look is a short readiness review. A pilot then runs on a slice of your SAS and proves results against your baseline, usually within a few weeks. Scope for the full estate comes out of that work. Book a demo and we will put a range on your code.
Not with Convert: it is software your team runs, with no services contract or RFP. If your team knows SAS but not the target platform, 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.
Yes. Generated code ships documented and readable, with mapping sheets that tie every output back to the original SAS. Start with the SaaS portal or a guided pilot where we do the modernization, and your team ramps up on the target platform through training and handover.
Databricks notebooks, PySpark, Snowflake SQL, Snowpark, BigQuery, Polars, Fabric, Redshift, Cloudera, DBT models, and Python — with comments, mapping sheets, and auto-generated documentation.
Book a 30-minute demo and we will walk a SAS job you already run. Want to look first? Convert a real SAS job with no signup. Questions? Contact us
Book a demo and we will walk a SAS job you already run. Or convert one yourself, with no signup.
Thirty minutes on a SAS job you already run. We show the converted output, what still needs a person, and how an engagement would run.
Book a demo →Open the live converter, paste a real SAS job, and read the generated PySpark block by block. No signup.
Try it yourself →Five stages, and you decide how far to go — discovery, proof of concept, pilot, first production wave, full estate. See who does the work and what we need from you.
How we work →
