From Vendor Lock-In to Portable, Transparent Code
Eliminate vendor lock-in. Belvedere abstracts pipeline logic from proprietary platforms, translating it into portable, transparent code.
No Vendor Lock-In
Abstracts pipeline logic from proprietary platforms into portable, transparent code.
Faster Migration
Deterministic workflows reduce migration risk, cost, and timeline dramatically.
Built-In Compliance
Governance and optimization are embedded in every stage of the migration process.
Future-Ready
Enables continuous innovation across environments — cloud, on-prem, or air-gapped.
Proprietary platforms trap pipeline logic in vendor-specific formats. Migration means rewriting everything from scratch. Belvedere extracts, translates, and redeploys — zero data loss, zero downtime.
Vendor Lock-In
Proprietary platforms encode pipeline logic in vendor-specific formats. Switching means rewriting everything from scratch — at massive cost.
Migration Risk
Every migration introduces the risk of data loss, broken transformations, and compliance gaps. Manual translation is error-prone and slow.
Frozen Innovation
Teams stuck on legacy platforms can’t adopt new tools or capabilities. Modernization stalls while competitors move ahead.
When teams ask “What’s next?” — legacy systems shouldn’t say “Not yet.” Migration should accelerate discovery, not delay it. But moving from one platform to another typically means rewriting pipelines from scratch, risking data loss, and spending months on manual translation.
Belvedere™ automates platform migration through agentic orchestration. Its agents analyze existing pipelines, extract logic from proprietary systems, and reconstitute deterministic, portable workflows that can run anywhere — cloud, on-prem, or air-gapped.
While modernizing, Belvedere optimizes performance, enforces compliance, and eliminates vendor lock-in — ensuring innovation never stands still. Pipeline logic becomes transparent, portable code that your team owns and controls.
Platform Migration in Action
See how Belvedere scans legacy pipelines, extracts logic, and deploys translated code to your target platform.
Legacy Platform Inventory
847 pipelines, 12 orchestrators, and 3,200 transformation rules cataloged with dependency mapping.
Business Logic Extract
Reverse-engineered ETL patterns, scheduling rules, and error handling captured in portable intermediate representation.
Target Platform Config
Databricks + dbt environment configuration, connection credentials, and compute cluster specifications.
Translate code
Legacy transformations are re-generated as idiomatic target-platform code — maintaining exact logic fidelity with deterministic output.
Validate regression
Automated regression suite compares legacy vs. migrated output — row counts, checksums, and edge cases verified.
Deploy to target
Migrated pipelines are deployed to the target platform with rollback snapshots and parallel-run monitoring enabled.
Translate Code
Re-generate legacy transformations as idiomatic target-platform code.
Legacy transformations from Informatica, SSIS, and custom scripts are re-generated as idiomatic Databricks + dbt code. The translation engine parses the original transformation logic, identifies equivalent constructs on the target platform, and generates deterministic output that maintains exact logic fidelity. 34 custom UDFs were detected — 28 have direct equivalents, and the remaining 6 have been re-implemented with validated equivalent logic. Each translated pipeline includes comprehensive tests comparing output against the legacy system to ensure zero regression.
Markdown supported. Type @ to link data sources. Ctrl+B bold. Ctrl+I italic.
How many pipelines have been migrated?
423 of 847 pipelines have been translated and validated. The remaining 424 are in the code translation phase. Zero regressions detected so far.
What about the custom UDFs?
34 custom UDFs were detected. 28 have direct equivalents on the target platform. The remaining 6 have been re-implemented with equivalent logic and validated.
Legacy Platform Inventory
Business Logic Extract
Target Platform Config
Translate code
Legacy transformations are re-generated as idiomatic target-platform code — maintaining exact logic fidelity with deterministic output.
Validate regression
Automated regression suite compares legacy vs. migrated output — row counts, checksums, and edge cases verified.
Deploy to target
Migrated pipelines are deployed to the target platform with rollback snapshots and parallel-run monitoring enabled.
How many pipelines have been migrated?
423 of 847 pipelines have been translated and validated. The remaining 424 are in the code translation phase. Zero regressions detected so far.
How It Works
From vendor lock-in to portable, transparent code
Migration shouldn’t mean rewriting everything from scratch. Here’s how Belvedere moves your pipeline logic without losing a single transformation.
Step 01
Discover and catalog your existing platform
Belvedere’s Knowledge Arm scans your current environment — every pipeline, transformation, dependency, schedule, and governance rule. It builds a complete inventory so migration planning starts with full visibility.
Full inventory • dependencies mapped • nothing missed
Step 02
Understand what each pipeline actually does
Before any code moves, Belvedere captures the semantic meaning behind each transformation — not just the syntax. Business logic, data contracts, and governance rules are extracted and preserved.
Logic understood • context preserved • meaning retained
Step 03
Translate to portable, deterministic code
The Workflow Arm extracts pipeline logic from proprietary formats and translates it into clean, deterministic code that can run on any target platform — Snowflake, Databricks, Airflow, or custom infrastructure.
Platform-agnostic • deterministic • fully portable
Step 04
Validate, optimize, and enforce compliance
Translated pipelines are validated against your governance standards, optimized for the target platform’s capabilities, and enriched with lineage tracking — so migration improves your posture, not just your platform.
Validated • optimized • compliance-enriched
Step 05
Deploy and monitor with zero downtime
Pipelines deploy to your target environment with built-in monitoring and self-healing capabilities. Belvedere watches for drift, validates outputs, and ensures continuous operation — no manual babysitting required.
Zero downtime • self-healing • continuously monitored
Escape Vendor Lock-In
See how Belvedere makes migrations painless — portable pipeline logic that runs anywhere, completed in weeks not quarters.
Explore Other Use Cases
Identity Intelligence
Unify fragmented digital footprints with self-healing pipelines.
Learn moreCompliance Automation
Maintain compliance standards throughout migration.
Learn moreOperational Data Fusion
Combine mission and sensor data for real-time awareness.
Learn moreSelf-Service Analytics
Empower analysts with natural-language data access.
Learn more