Microsoft SQL Server & TimeXtender
The Fastest Way to Build Data Solutions on SQL Server
SQL Server’s reliance on manual coding, fragmented workflows, and limited scalability can slow down projects, increase costs, and complicate data security — particularly for organizations requiring secure, on-premises deployments where systems are isolated from the public internet.
TimeXtender eliminates these challenges by leveraging metadata and advanced AI to streamline every stage of the process — from data ingestion to transformation and delivery. All with a low-code interface, intelligent automation, and seamless integration with SQL Server.
Implement Microsoft SQL Server 10x Faster with TimeXtender
Microsoft SQL Server is a trusted choice for on-premises data solutions, but its complexity often leads to slow, costly, and inefficient implementations — especially when data security requires an “air-gapped” approach, where systems are physically isolated from the public internet to prevent unauthorized access and ensure maximum data protection.
TimeXtender’s Holistic Data Suite is specifically designed to address SQL Server’s most pressing challenges, making it indispensable for organizations needing secure, high-performance, on-premises data solutions.
Simplifying Complexity and Automating Workflows, Unified Data Integration for On-Premises Deployments, Pre-Built Connectors for On-Premises Systems, Low-Code ELT Automation, Incremental Data Loading, Automated Dimensional Modeling, Metadata-Driven Governance and Lineage
SQL Server’s ETL/ELT processes often rely on manual coding in SSIS and T-SQL, which can lead to delays, inconsistencies, and increased maintenance. TimeXtender automates and simplifies these processes, ensuring faster development, greater efficiency, and consistent results.
Unified Data Integration for On-Premises Deployments:
Integrate data from on-premises databases, legacy systems, flat files, SaaS applications, APIs, and custom sources into SQL Server using a centralized, metadata-driven approach. This eliminates the need for multiple tools and reduces complexity.
Pre-Built Connectors for On-Premises Systems:
Leverage an extensive library of pre-built connectors to integrate a wide range of data sources, eliminating custom development and speeding up data ingestion.
Low-Code ELT Automation:
Replace manual SSIS and T-SQL scripting with a low-code, drag-and-drop interface. TimeXtender automatically generates optimized SQL code, accelerating development and minimizing errors.
Incremental Data Loading:
Load only new or changed data to improve performance and optimize resource usage, avoiding the inefficiencies of full data reloads in SSIS and SQL Server.
Automated Dimensional Modeling:
Automatically create and maintain star schemas and other dimensional models in SQL Server, optimizing data for analysis and reporting in BI tools like SQL Server Analysis Services (SSAS), Power BI, Qlik, and Tableau.
Metadata-Driven Governance and Lineage:
Automatically capture, document, and synchronize metadata across your SQL Server environment to provide complete data lineage, ensuring governance and compliance.
Centralizing and Governing Critical Data, Centralized Control of Master Data, Automated Master Data Synchronization, Hierarchy and Relationship Management, Secure & Air-Gapped Deployment
SQL Server lacks native tools for centralized master data management, resulting in fragmented datasets and inconsistent business entities. TimeXtender solves this by providing a unified approach to managing critical data.
Centralized Control of Master Data:
Manage business entities like customers, products, and suppliers through a unified interface, replacing error-prone spreadsheets and manual processes.
Automated Master Data Synchronization:
Ensure consistency and accuracy by automatically synchronizing master data within SQL Server environments and other connected systems.
Hierarchy and Relationship Management:
Define and manage complex master data hierarchies and relationships to support accurate analytics and reporting.
Secure, Air-Gapped Deployment:
Deploy TimeXtender Master Data Management as a desktop application in fully on-premises, air-gapped environments, ensuring maximum data security and compliance without internet connectivity.
Ensuring High-Quality Inputs for Accurate Insights, Custom Data Validation Rules, Real-Time Anomaly Detection, Automated Quality Monitoring, Compliance and Audit Trails
Microsoft's Data Quality Services offers valuable tools for improving data quality but requires manual setup and lacks seamless multi-system automation. Managing data quality at scale often demands extra effort and expertise. TimeXtender enhances SQL Server by automating data validation, anomaly detection, and quality monitoring across SQL Server and other systems, ensuring consistent, reliable data throughout the lifecycle.
Custom Data Validation Rules:
Define and enforce tailored data quality rules using a low-code interface to ensure data accuracy before it enters SQL Server, reducing the risk of errors affecting analytics and reporting.
Real-Time Anomaly Detection:
Automatically identify anomalies and inconsistencies in real time, with alerts for prompt investigation and resolution, maintaining data integrity.
Automated Quality Monitoring:
Continuously monitor data quality across SQL Server and other systems to ensure clean, trustworthy data for decision-making and compliance.
Compliance and Audit Trails:
Maintain detailed audit trails of data quality activities to support regulatory compliance with standards like GDPR and HIPAA.
Automating Processes and Optimizing Resources, Intuitive Visual Workflow Design, End-to-End Workflow Automation, PowerShell and Custom Workflow Integration, Integrated Real-Time Monitoring and Alerts, Dynamic Resource Management
Managing SQL Server workflows with tools like SQL Server Agent or PowerShell can be complex and hard to maintain. These tools handle basic automation but often lack the flexibility for scalable, end-to-end workflows across systems. TimeXtender simplifies this with a unified solution that centralizes task automation, reduces manual effort, and optimizes resources for reliable, efficient execution.
Intuitive Visual Workflow Design:
Use a drag-and-drop interface to design and manage complex workflows, simplifying orchestration and reducing reliance on scripting tools like SQL Server Agent.
End-to-End Workflow Automation:
Automate data ingestion, transformation, and delivery workflows across SQL Server and other systems, reducing the need for manual effort and ensuring consistent execution across environments.
PowerShell and Custom Workflow Integration:
Extend automation capabilities by integrating PowerShell scripts and custom workflows to handle tasks like database maintenance, data movement, and job scheduling.
Integrated Real-Time Monitoring and Alerts:
Gain real-time visibility into workflow performance and receive instant alerts for issues, enabling proactive management and quick resolution to maintain data integrity.
Dynamic Resource Management:
Optimize SQL Server performance by dynamically managing compute resources, scheduling tasks efficiently, and avoiding unnecessary overhead, ensuring cost-effective operations.
Related resources
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