Solutions → Legacy Modernization → Lakehouse
teradata to Databricks Migration Consulting
Transform legacy data estates — Teradata BTEQ, Oracle PL/SQL, IBM Netezza, Sybase, and complex stored procedures — into governed, high-throughput Databricks PySpark and Delta Lake architectures.
Built for these industries
Why migrate
Why companies move from teradata to Databricks
We don't tell clients teradata is a bad platform — most migrations are driven by a specific need Databricks fits better.
Unifying data engineering, analytics and AI on one platform
Building a Lakehouse architecture on open formats
Advanced ML/AI workloads that need direct data access
Open data formats such as Delta and Parquet
Centralized governance with Unity Catalog
Streaming and batch workloads on one engine
Existing Databricks investment elsewhere in the business
Consolidating multiple data platforms into one
Scope
What Karsient migrates
Legacy Code
- Stored procedures & triggers
- BTEQ & PL/SQL scripts
- COBOL & Mainframe extracts
Data Pipelines
- SSIS, Informatica & DataStage
- Batch cron ETL jobs
- Unmapped dependencies
Target Architecture
- Databricks Delta Lake
- Serverless Spark compute
- Unity Catalog governance
Reconciliation
- Automated bit-level parity
- Dual-run side-by-side tests
- Zero-downtime cutover
Methodology
Our migration methodology
Architecture
Target architecture: Legacy Modernization → Lakehouse
What to expect
Migration challenges we plan for
Untangling decades of undocumented procedural business logic
Handling proprietary dialect extensions and vendor-locked functions
Eliminating overnight batch window bottlenecks that breach business SLAs
Re-platforming complex cursors into vectorized, distributed compute
Ensuring zero financial or regulatory discrepancies during cutover
Why Karsient
Why Karsient for Legacy Modernization → Lakehouse
We don't simply move workloads — we redesign the platform for Databricks, combining architecture expertise, data engineering delivery, migration engineering, and AI/MLOps integration under one team.
Architecture expertise
Data engineering
Migration engineering
AI/ML integration
Migration assessment
Is teradata → Databricks right for your organization?
Get a technical assessment covering architecture, workloads, migration complexity, dependencies, risks and optimization opportunities.
FAQ
Common questions
We combine ShiftIQ for AST dependency analysis and CodeShift for dialect transpilation, converting legacy SQL and ETL into idiomatic, test-covered PySpark and Delta Lake code.
Related
Other Databricks solutions
Ready when you are
Planning a Legacy Modernization → Lakehouse migration?
Let's assess your current platform, identify migration risks and design your target Databricks architecture.