Velocity is Kagool’s proprietary no-code, metadata-driven SAP data ingestion application. It connects SAP ECC and SAP S/4HANA to Microsoft Azure and Databricks, delivering out-of-the-box change data capture without requiring SAP Landscape Transformation (SLT). Velocity is a Microsoft-recommended tool, fully compliant with SAP’s RFC extraction restrictions, used by enterprises across retail, pharma, and energy.
Prashant Patel — Data Engineering Specialist, Kagool
Prashant specialises in SAP-to-cloud data platform implementations using Velocity. He works with enterprise clients to automate SAP data ingestion pipelines to Azure and Databricks, helping organisations eliminate manual data engineering workflows and achieve real-time data availability at scale.
Introducing Velocity, Kagool’s proprietary metadata-driven, no-code application specialising in rapid data ingestion from SAP source systems, delivering out-of-the-box change data capture without the need for SAP Landscape Transformation (SLT).
Velocity is a Microsoft-recommended tool designed to reduce data engineering efforts for pipeline creation from weeks to minutes. As a testament to its success, Velocity has been helping global organisations with installations worldwide and has handled billions of records in incremental loads. It excels over native connectors in Azure Data Factory by transferring the business context of SAP data structures into lake house architecture platforms without having to write code in ADF, delivers change data capture out of the box, thereby unlocking SAP data to an ecosystem of capabilities beyond basic analytics in SAP.
Velocity expedites time to insights from SAP data with a no-code, configuration-based app custom-built for various native SAP object types, including SAP CDS views, ODP-based extractors, HANA calculation views, SAP long texts, hierarchies, t-codes, conversion exits and many more complex SAP data objects. Its centralised audit logging keeps you in control, providing transparency throughout your data ingestion processes (Source to target) and efficiently handling high-volume data loads.
Velocity’s error investigation tools facilitate swift detection and resolution, ensuring a clean, one-click recovery process and uninterrupted data workflows. It proactively alerts service management and concerned stakeholders .In essence, Velocity provides a comprehensive solution that addresses data extraction, security, scheduling, observability and error management for robust data integration and orchestration without writing a piece of code built around the complex data structures of SAP customers.
Velocity automates SAP data ingestion through a no-code, metadata-driven architecture that eliminates custom engineering for each new data object. Core capabilities include native change data capture without SAP SLT, connectivity to Azure Data Lake and Databricks, metadata-driven configuration for diverse SAP data structures, and full compliance with SAP’s announced ban on RFC-based external data extraction.
Create fully automated SAP change data capture (CDC) and delta load pipelines with just a few clicks — no SAP Landscape Transformation (SLT) or manual coding required.
Velocity identifies CDC changes at the SAP source, merges them efficiently at the cloud target, and simplifies complex SAP data workflows to save time, reduce risk, and accelerate cloud analytics.
Handle high-volume SAP data ingestion with ease. Velocity optimises load performance for Azure and Databricks pipelines by automatically compressing, batching, parallelising, and streaming large data sets.
This configurable and parameterised system intelligently adjusts based on available cloud resources — ensuring seamless, scalable, and efficient SAP data integration into modern analytics platforms.
Unlock complete historical analysis from your SAP systems with automated delta load backdating.
Velocity enables seamless extraction of SAP data across past timelines, ensuring access to complete datasets for advanced reporting, audit, and analytics use cases — without manual intervention.
Maintain full control and compliance across your SAP-to-cloud data pipelines with centralised audit logging.
Velocity captures detailed audit events — including application, service, network, database, and authentication activities — across all SAP and Azure components. This end-to-end visibility ensures transparency, accountability, and security throughout your SAP data integration processes.
Protect sensitive SAP data — such as HR, payroll, and financial records — with automated object suppression during data extraction.
Velocity ensures that confidential information remains securely within SAP source systems, enabling safe ingestion of non-sensitive data sets into Azure and Databricks environments while supporting compliance with GDPR, HIPAA, and other data privacy regulations.
Customise your SAP-to-cloud data flows with intelligent batch scheduling and automated load orchestration.
Velocity allows you to configure extraction schedules based on your operational needs, automate retries for failed loads, and streamline nightly batch processes — ensuring reliable, resilient SAP data pipelines into Azure and Databricks environments.
Rapidly detect, diagnose, and resolve SAP data load issues with automated error investigation tools.
Velocity enables clean, one-click recovery processes to maintain uninterrupted SAP-to-cloud data workflows — boosting pipeline resilience, reducing downtime, and ensuring operational continuity across Azure and Databricks environments.
Watch how quickly SAP data can be ingested into Azure & Databricks with Velocity’s no-code platform.
Velocity ingests data from SAP ECC and SAP S/4HANA source systems and delivers it to Microsoft Azure (Azure Data Lake, Azure Synapse Analytics, Azure Data Factory) and Databricks. No custom coding or SAP Landscape Transformation is required. Configuration is metadata-driven, allowing teams to onboard new SAP data objects without engineering rework.
Answers to Common Questions About SAP Data Ingestion with Velocity.
Velocity is Kagool’s no-code, metadata-driven SAP data ingestion application. It connects SAP ECC and S/4HANA source systems to Azure and Databricks, delivering out-of-the-box change data capture without SAP Landscape Transformation. Configuration is handled through metadata, so teams can onboard new SAP data objects without custom code.
Velocity supports SAP ECC and SAP S/4HANA as source systems, with targets including Microsoft Azure (Azure Data Lake, Azure Synapse, Azure Data Factory) and Databricks. The metadata-driven architecture handles diverse SAP data structures without custom development.
No. Velocity delivers native change data capture without requiring SAP SLT, removing a significant infrastructure dependency, reducing licensing costs, and keeping the integration compliant with SAP’s announced restrictions on RFC-based external data extraction.
Yes. Velocity uses an extraction method that does not rely on RFC, making it fully compliant with SAP’s ban on RFC-based external data extraction. Customers using Velocity are protected from disruption and remain within SAP’s licensing terms.
Velocity is deployed across retail, pharmaceuticals, energy, and finance. Named customers include the largest pharmacy chain in the USA, a leading kitchen and bathroom retail and manufacturing company, and an energy supplier in the USA.
The customer decided to adopt Azure as their enterprise analytics platform. Velocity seamlessly integrates data from SAP S/4 HANA into Microsoft Azure Storage, empowering the client to manage an impressive volume of over 80 billion financial ledger entries within the Azure Cloud. Leveraging Velocity, we established standardised data models to create a cohesive view of financial operations, supporting the client’s retail and financial transformation initiatives. Additionally, our team provided expert consultancy services for data visualisation using Power BI, effectively replacing legacy tools such as Tableau and Cognos.
This initiative marked a significant transformation and modernisation of the client’s retail and finance data ecosystem. By implementing a modern platform built on Microsoft technologies with Velocity as the linchpin, we established a singular, authoritative source for critical financial reporting. This unlocked opportunities for advanced analytics and granted finance professionals access to precise and reliable daily financial data with unprecedented granularity. With data updated multiple times a day through Velocity and Azure integration, financial statement reporting now occurs automatically overnight during month-end closures. This streamlined process liberates financial analysts from mundane tasks like data manipulation and report creation, empowering them to focus on strategic decision-making and extracting actionable insights from the data.
The customer had numerous requirements, including sunsetting BW, migrating to Azure and deprecating the Oracle data warehouse in favour of Azure. Velocity was crucial in expediting the transition by replacing thousands of BODS (SAP Data Services) jobs to enhance integration robustness. Additionally, Kagool provided consultancy services to support the sunset of BW and the rollout of Power BI with Azure. We facilitated the establishment of their modern data platform on Azure, leveraging Velocity as a critical enabler. This allowed them to develop and deploy data products swiftly and with agility. Using Velocity and Azure, we built data products across eight different areas: finance, supply chain, pricing, and inventory—this empowered business users with the reliable reporting necessary for informed decision-making. We guided best practices and leveraged our expertise in modern data platforms. Velocity and Azure ensure that SAP transactional financial data is accessible to users through a trusted single source of truth model, with data refreshed thrice daily.
Velocity facilitates the rapid extraction of data from SAP ECC to Azure Storage, enhancing Power Systems’ global reporting capabilities, which include financial forecasts, daily SNO, and executive summaries.
Additionally, we spearheaded the carve-out process, establishing the new business entity separate from its parent company. This involved deploying a new Velocity and Azure landscape tailored to the unique needs of the new company. Working closely with IT and business stakeholders, we ensured a seamless transition by swiftly setting up a fully functional data landscape. The migration to the new company environment was completed within a tight timeframe of four months, consisting of one month of analysis and three months of migration work.
The migration encompassed dozens of databases and data pipelines and hundreds of Power BI reports, user groups, and permissions. Despite the scale of the operation, we prioritised minimal disruption for end users. Collaborating across IT departments, we ensured that all systems were prepared, resulting in minimal or no disruption to users during the transition. Leveraging Velocity and Azure, we efficiently loaded data into the new environment, meeting stringent cutover deadlines with precision.
Smiths Group streamlined analytics across five global divisions by consolidating SAP and enterprise data using Velocity. Data was ingested into Azure Data Lake Storage with Azure Data Factory, then processed and structured in Azure Databricks to deliver trusted, user-friendly datasets. With Velocity, Smiths Group accelerated global reporting, unlocked advanced analytics, and established a scalable Azure-based data platform.
Read our blog to explore how Velocity facilitates SAP-compliant data extraction
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Learn how Velocity accelerates data transformation and insight delivery. Whether you're exploring or ready to dive deeper, we're here to help.
