TimeXtender Data Integration

Timextender Data Integration is the fastest way to build a data solution on Microsoft Azure and Microsoft Fabric. Metadata-driven automation and a low-code interface let your team deliver AI-ready data up to 10x faster, at 70% lower build cost and 80% lower maintenance cost.

Azure and Fabric hand you powerful services: Data Factory, Synapse Analytics, Azure SQL Database, Data Lake Storage, OneLake, Spark. Operationalizing them is where projects stall. Hand-written Spark, Python, T-SQL, and DAX, with orchestration scattered across half a dozen tools, stretches timelines and inflates consumption costs. Timextender automates the work in between.

One Platform for Ingest, Prepare, and Deliver

• Ingest. Connect to any data source, from ERP and CRM systems to REST APIs, files, and on-premises databases, then land it in your Azure data lake, lakehouse, or OneLake with incremental loading built in.
• Prepare. Cleanse, validate, and transform raw data into a single version of truth, with dimensional modeling generated for you.
• Deliver. Publish governed data products through a semantic layer to Power BI, Tableau, Qlik, and downstream AI workloads.

Why Teams Choose Timextender

• Deterministic code generation. Rule-based AI reads your metadata and generates production-ready T-SQL and Spark notebooks the same way every time, so every result is auditable. Generative tools that predict code cannot make that promise.
• Zero-access security. Timextender orchestrates every process using metadata only. Your data and all processing stay inside your own Azure tenant. We never access or control it, which keeps compliance reviews short.
• One-click portability. Business logic lives separately from storage. Point Timextender at a new target, whether Azure SQL Database, Fabric, Snowflake, or on-premises SQL Server, and it regenerates and installs the code in a single click. Your logic stays portable SQL, so nothing locks you in.
• Low-code, with room to code. Drag-and-drop handles the repetitive build. Custom scripts, notebooks, and API calls handle everything else.
• Documentation that keeps itself current. Every transformation is documented as you build, giving you end-to-end lineage and impact analysis for audits and change management.

Proven at Scale

• 5,300+ customers, including Komatsu, Colliers International, and Pandora
• 95% customer retention
• 200+ implementation partners across 95 countries
• Building metadata-driven data integration since 2006

Data Integration is one of four modules in the Timextender Data Platform, alongside Data Enrichment, Data Quality, and Orchestration.