The Fastest Way to Build Data Solutions on Microsoft Fabric

Microsoft Fabric offers powerful analytics capabilities but often requires extensive manual coding in Spark and Python, fragmented workflows across multiple tools, and careful management of compute resources. These complexities can slow down development, increase costs, and lead to inconsistent data processes.

TimeXtender addresses these challenges with a Holistic Data Suite for data integration, quality, master data management, and orchestration. By providing a low-code interface, AI-powered automation, and pre-built frameworks, TimeXtender accelerates development, reduces complexity, and ensures consistent, governed data workflows.

TimeXtender separates business logic from the underlying storage layer, allowing you to design transformations and models in a drag-and-drop interface and deploy them with one click to any storage technology—whether on-premises, cloud, or hybrid.

This technology-agnostic approach ensures you can migrate your data solutions to new technologies as they evolve, without costly and time-consuming rebuilds. By treating business logic as portable and independent, TimeXtender eliminates vendor lock-in and ensures your data infrastructure remains adaptable and future-proof.

Fabric's native tools, like Data Factory and Spark Notebooks, require significant coding expertise and managing multiple services, which can lead to inconsistent and inefficient workflows.

TimeXtender provides a low-code, metadata-driven solution for automating data ingestion, transformation, and delivery. With a drag-and-drop interface, extensive library of pre-built connectors for sources like SaaS apps, REST APIs, cloud databases, and ERP systems, and incremental data loading, TimeXtender ensures faster development, optimized performance, and seamless data integration across Fabric environments.

Microsoft Fabric lacks a unified Master Data Management (MDM) solution, making it difficult to maintain consistent business entities like customers, products, and suppliers.

TimeXtender offers a centralized, low-code MDM tool that allows you to define, manage, and synchronize master data across Fabric Lakehouse, SQL endpoints, and other systems. With features like automated data synchronization and advanced hierarchy management, TimeXtender ensures your master data remains accurate, consistent, and ready for analytics and reporting.

Fabric’s native data quality tools offer basic validation and anomaly detection but often require manual setup and lack comprehensive, real-time monitoring.

TimeXtender automates data validation, anomaly detection, and continuous quality monitoring through an intuitive low-code interface. You can define custom data quality rules, receive real-time alerts for anomalies, and maintain detailed audit trails to ensure clean, accurate data throughout your workflows, supporting compliance with regulations like GDPR and HIPAA.

Fabric’s orchestration tools, like Data Factory Pipelines and Spark Jobs, often require manual coding and configurations, leading to inefficiencies.

TimeXtender provides low-code orchestration to automate end-to-end workflows for data ingestion, transformation, and delivery. With dynamic resource optimization, real-time monitoring, and the ability to trigger Spark notebooks and external APIs, TimeXtender ensures efficient execution, cost control, and seamless process automation across Fabric and other systems.

TimeXtender’s Unified Metadata Framework captures, stores, and activates metadata for all data assets within your Fabric environment. This enables automated code generation, end-to-end orchestration, data lineage tracking, documentation, version control, and much more.

Unlike static metadata management, TimeXtender’s approach ensures real-time updates, improves agility, and enhances governance, compliance, and data quality, making metadata management seamless and efficient.

TimeXtender optimizes resource usage with dynamic scaling, incremental data loading, and intelligent execution, ensuring compute resources are used efficiently.

Instead of performing full data reloads, TimeXtender processes only new or updated data, significantly reducing compute times and associated costs.

Additionally, TimeXtender can pause idle resources, deactivate unnecessary jobs, and optimize Delta Parquet tables to avoid redundant storage. By automatically adjusting resource allocation based on real-time workload demands, TimeXtender prevents over-provisioning and under-utilization of compute units (CUs).

This automated resource management reduces the risk of overspending, ensures cost-effective operations, and eliminates the need for constant manual monitoring and adjustments.

Yes. TimeXtender supports universal data connectivity through pre-built, fully-managed connectors for various data sources, including SaaS applications (Salesforce, HubSpot), files (Delta Parquet, JSON, CSV), REST APIs, cloud databases (Azure SQL Database, Snowflake), on-premises databases, and ERP systems. This flexibility allows you to seamlessly integrate data from diverse sources into Microsoft Fabric or other platforms, creating a unified data ecosystem.

Additionally, TimeXtender’s capabilities for Master Data Management (MDM), Data Quality (DQ), and Orchestration are completely technology-agnostic.

• TimeXtender MDM can manage and synchronize master data across any data infrastructure, ensuring consistency regardless of the underlying platform.

• TimeXtender Data Quality can enforce validation rules and monitor data quality for data within or outside of a TimeXtender environment.

• TimeXtender Orchestration goes beyond data workflows and can automate a wide range of processes across various tools, systems, and platforms, enhancing efficiency throughout your entire IT landscape.

TimeXtender’s metadata-driven approach ensures that your data remains securely under your control at all times. Instead of accessing or manipulating your actual data, TimeXtender uses metadata to define and orchestrate data integration, transformation, and management processes. This significantly reduces security risks, as your data is never directly handled by the tool.

TimeXtender supports enterprise-grade security features, including role-based access controls, object-level permissions (views, schemas, tables, and columns), and data-level permissions (specific rows within tables). Additionally, it provides comprehensive governance policies and audit trails to ensure compliance with regulations like GDPR and HIPAA.

Our unique, metadata-driven approach ensures your data remains secure, consistently governed, and fully compliant across your Microsoft Fabric environment and beyond.

TimeXtender’s Semantic Layer enables business users to create domain-specific, version-controlled data products using a drag-and-drop interface. These data products are ready for analysis in BI tools like Power BI, Qlik, and Tableau.

By allowing users to rename data assets into business-friendly terms and track data lineage, TimeXtender fosters a common understanding of data, reduces IT bottlenecks, and accelerates time-to-insights.

TimeXtender’s pre-built frameworks, low-code automation, and AI-powered tools allow you to implement data solutions in a fraction of the time compared to native Fabric tools.

Most organizations see significant improvements in workflow efficiency within weeks, speeding up development time by up to 10x, and reducing costs by 70%-80%.

Yes. While TimeXtender offers a drag-and-drop interface for low-code automation, it also supports advanced customization through user-defined functions, stored procedures, PowerShell scripts, and custom code snippets.

This flexibility allows developers to extend TimeXtender’s capabilities and maintain version-controlled workflows that adapt to changing business needs.