Modernize off legacy. Without the multi-year project.
Teradata, Oracle, SQL Server, Netezza, Greenplum, Vertica. Bring the workload — DDL, code, governance, BI dependencies — and land it on a modern, open-format, customer-owned data platform. The translation is automated. The validation is parallel-run. The cutover is on your timeline.
Six legacy enterprise warehouses, one modernization path.
Teradata
Enterprise data warehouse modernization including BTEQ, stored procedures, and SQL Assistant workloads.
Oracle Exadata
PL/SQL translation, materialized view conversion, and partitioning strategy migration.
Microsoft SQL Server / Synapse
T-SQL translation, SSIS pipeline migration, and Azure-aware deployment.
Netezza / IBM PureData
Legacy appliance retirement with lift-and-shift to open-format storage.
Greenplum
Distributed Postgres migration with workload-shape preservation.
Vertica
Column-store migration with engine-equivalent performance characterization.
Six weeks from discovery to parallel-run.
Week 1
Discovery
Inventory the workload — DDL, views, stored procs, ETL pipelines, governance policies, BI dependencies. Baseline measured cost and latency.
Weeks 2-3
Translate
Automated DDL and code translation. Manual review of edge cases. Governance policy mapping into the unified policy plane.
Weeks 3-4
Land data
Stream data into Apache Iceberg in your object storage. Validation against source-system row counts and aggregates.
Weeks 4-6
Parallel run
Run Eisberg alongside the legacy warehouse. Reconcile output, measure cost and latency, build confidence.
Week 6+
Cutover
Direct production traffic to Eisberg. Decommission legacy infrastructure on your timeline. Continued lineage and audit trail across the boundary.
Continuity that survives the cutover.
Bring us your legacy workload.
Send a workload sample, an EXPLAIN plan, or a quarter's worth of bills. We will model the same workload on Eisberg and produce a side-by-side cost, latency, and governance comparison — with the math, not the marketing.