TimeXtender Classic

Business Unit

Ingestfrom any data source. Preserve everything.

The Business Unit layer is your centralized collection point for raw data across the organization.

Modern Data Warehouse

Transform and integrate through a low-code interface. Let Classic handle the SQL.

The Modern Data Warehouse layer is where disparate datasets are transformed and integrated into a coherent SQL model.

Semantic Models

Deliver governed, self-service models thatfeed every BI and AI tool your team uses.

The Semantic Layer is where your team creates purpose-built data models aligned to specific departments or business needs.

Metadata-driven automation

Define ingestion, relationships, and transformation logic through the low-code interface once. Classic generates and maintains the SQL implementation automatically (tables, views, stored procedures) so your team spends less time authoring, reviewing, and refactoring SQL as requirements change.

Pipeline integrity through managed dependencies

Classic maintains explicit relationships between data objects across the solution. When sources are added, transformations extended, or downstream models updated, the dependency structure stays visible and managed, preventing the fragile downstream breakage that makes SQLcentric environments difficult to evolve.

Smart orchestration for reliable recurring loads

Data loads are sequenced and executed based on the dependency graph defined in metadata, not manually maintained job ordering. As the solution grows, execution follows the order required to keep downstream tables and models consistent with upstream inputs, predictably and without intervention.

Automated documentation and lineage

Classic generates end-toend documentation and data lineage automatically as part of the solution. Your team gets full visibility into where data originates, how it is transformed, and how it reaches downstream models, without running a separate documentation project that falls out of date the moment something changes.