WORKLOAD MIGRATION

Altimate understands the SQL dialect of your source platform, whether moving off Redshift, Teradata, BigQuery, or legacy on-prem warehouses. It produces syntactically correct, semantically equivalent SQL in your target environment's dialect.

Unlike generic LLM rewrites, Altimate maintains a Knowledge Graph which understands the upstream and downstream dependencies of every query before touching a single line of code.

The biggest complexity in any migration is the business logic buried in stored procedures, UDFs, and bespoke transformation patterns that took your team years to build. Altimate extracts, documents, and faithfully recreates that logic in the target environment, surfacing every non-trivial translation for engineer review before it goes anywhere near production.

Every decision is stored in Decision Memory: what was migrated, how it was translated, and why — so your team has a full audit trail from day one.

Migration is the perfect moment to retire technical debt. Altimate translates existing pipelines, and rebuilds them as clean, tested, documented dbt models, turning years of accumulated spaghetti SQL into a structured, maintainable data layer your whole team can work in.

Source-to-target mappings, lineage graphs, and data contracts are generated automatically and kept in sync throughout the migration, so nothing falls through the cracks as you cut over workload by workload.

Most migration projects stall because no one has a clear picture of what exists, what it depends on, and what order things need to move. Altimate automatically inventories every query, pipeline, table, and job in your source environment, maps their dependencies, and produces a sequenced migration plan that respects the order in which things need to move.

Business-critical workloads are prioritized. Dormant or unused pipelines are flagged for decommissioning.

Altimate runs automated parity checks between source and target outputs throughout the migration so discrepancies are caught and resolved days before cutover, not the morning after.

For each workload that passes validation, a confidence score is recorded in the Knowledge Graph. Your team has a clear, evidence-based view of exactly which workloads are ready to cut over and which still need attention.

Large migrations involve dozens of engineers, pipeline owners, and data consumers, each responsible for different pieces of the environment. Altimate provides tailored views to every role: platform engineers see infrastructure readiness, SQL developers see their query migration queue, and data consumers see which of their dashboards and reports will be affected.

With a single click, any migration task can be assigned to the right person with change instructions already prepared. Tasks are tracked to completion, and nothing falls through the cracks between sprints.

Most teams discover, months after cutover, that they've recreated the same inefficient patterns on their new platform. They now are paying new prices for old problems. Altimate prevents this by applying warehouse cost optimization automatically as migrated workloads land in production.

Query patterns are analyzed from the moment they begin running on the new platform. Warehouse configurations are auto-tuned to the actual workload profile. And cost anomalies are caught before they appear on the next invoice. Migrate and optimize in a single continuous motion.