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Skip to main content This browser is no longer supported. Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support. Download Microsoft Edge More info about Internet Explorer and Microsoft Edge Read in English Read in English Edit Share via Azure Data Factory tutorials Article02/13/2025 In this article -->APPLIES TO: Azure Data Factory Azure Synapse AnalyticsTipTry out Data Factory in Microsoft Fabric, an all-in-one analytics solution for enterprises. Microsoft Fabric covers everything from data movement to data science, real-time analytics, business intelligence, and reporting. Learn how to start a new trial for free!Below is a list of tutorials to help explain and walk through a series of Data Factory concepts and scenarios.Copy and ingest dataCopy data toolCopy activity in pipelineCopy data from on-premises to the cloudAmazon S3 to ADLS Gen2Incremental copy pattern overviewIncremental pattern with change trackingIncremental SQL DB single tableIncremental SQL DB multiple tablesCDC copy pipeline with SQL MICopy from SQL DB to Synapse SQL PoolsCopy SAP BW to ADLS Gen2Copy Office 365 to Azure Blob StoreBulk copy multiple tablesCopy pipeline with managed VNetData flowsData flow tutorial videosCode-free data transformation at scaleDelta lake transformationsData wrangling with Power QueryData flows inside managed VNetBest practices for lake data in ADLS Gen2Dynamically set column namesExternal data servicesAzure Databricks notebook activityHDI Spark transformationsHive transformationsPipelinesControl flowSSISSSIS integration runtimeData integration with Azure Data ShareData lineageMicrosoft PurviewRelated contentLearn more about Data Factory pipelines and data flows. --> Feedback Was this page helpful? Provide product feedback | Get help at Microsoft

Share via 2023-08-04T18:04:36.8466667+00:00 Hi,I'm trying to establish ODBC linked service connection to Interbase from Azure Data factory and i'm getting below error. ERROR [IM002] [Microsoft][ODBC Driver Manager] Data source name not found and no default driver specifiedBelow is the connection string i'm using: DRIVER=Firebird/InterBase(r) driver;UID=;PWD=;DBNAME=test:d:/test/test/test.ib; 2023-08-07T04:59:25.2666667+00:00 Hi Velicheti, Satya,Thank you for posting query in Microsoft Q&A Platform.The error message you are seeing indicates that the ODBC driver for InterBase is not installed on the machine where you are running Azure Data Factory. To resolve this issue, you need to install the ODBC driver for InterBase on the machine where you are running Azure Data Factory by self hosted IR.You can download the ODBC driver for InterBase from the InterBase website. Once you have downloaded the driver, you need to install it on the machine where you are running Azure Data Factory.Once you have installed the ODBC driver for InterBase and configured the ODBC data source, you can use the connection string you provided to establish a linked service connection to InterBase from Azure Data Factory.Hope this helps. Please let me know if any further queries.Please consider hitting Accept Answer button. Accepted answers help community as well. 0 additional answers Sign in to answer Your answer Answers can be marked as Accepted Answers by the question author, which helps users to know the answer solved the author's problem. Question activity

Data with an additional recovery system. Learn more about Microsoft's Azure Data factory with a quick comparison with Data Catalog and Non-Relational Data Stores and Azure Data Lake Storage features. 9 in 1 Course Training: 26 Hours of Two-Way Live Online Interactive Sessions Projects: Facility to undergo projects in Azure Cosmos DB, Azure Data Lake Storage & more Internship: Get Internship Support to gain experiential learning Certification: Get course completion Certification of Microsoft Azure Data Factory Training Course from Henry Harvin® Govt of India recognized & Award-Winning Institute, and showcase expertise Placement: 100% Placement Support for 1-Year post successful completion of the course E-Learning: Free access to E-learning Portal and future updates Masterclass: Access to 52+ Masterclass Sessions for essential soft skill development Hackathons: Free Access to #AskHenry Hackathons and Competitions Membership: 1-Year Gold Membership of Henry Harvin® Microsoft Trainings (Technology Academy) for the Microsoft Azure Data Factory Training Course Trainers at Henry Harvin® Most respected industry experts with 14+ years of working experience and recognized by numerous organizations over the years for their work They have delivered 410+ keynote classes for the Microsoft Azure Data Factory Training Course Have delivered 450+ lectures and are currently empaneled as domain experts with Henry Harvin® Microsoft Trainings (Technology Academy) Alumni Status Become a part of the Elite Microsoft Trainings (Technology Academy) of Henry Harvin® and join the 4,60,000+ large Alumni Network Worldwide. Gold Membership Benefits Avail 1-Year Gold Membership of Henry Harvin® Microsoft Trainings (Technology Academy) that includes E-Learning Access through recorded

HomeAxway AMPLIFY Application Integration vs. Azure Data FactoryAxway and Microsoft are both solutions in the Data Integration category. Axway is ranked #42 with an average rating of 7.5, while Microsoft is ranked #1 with an average rating of 8.0. Axway holds a 0.3% mindshare in DI, compared to Microsoft’s 10.0% mindshare. Additionally, 100% of Axway users are willing to recommend the solution, compared to 92% of Microsoft users who would recommend it. Comparison Buyer's GuideExecutive SummaryUpdated on Dec 19, 2024Axway AMPLIFY Application Integration and Azure Data Factory compete in the integration and data transformation software market. Azure Data Factory takes the lead with its advanced feature set and scalability, appealing to large enterprises.Features: Axway AMPLIFY is noted for its extensive connectivity capabilities, seamless message integration, and robust file transfer features, making it suitable for complex workflows. Azure Data Factory provides a complete ETL solution, vast data transformation capabilities, and seamless integration with other Azure services, offering powerful real-time analytics.Room for Improvement: Axway AMPLIFY could enhance its cloud integration options to better compete with cloud-first competitors. It may also benefit from expanding its customer support channels and simplifying on-premise configurations. Azure Data Factory might improve by optimizing its monitoring features, expanding support documentation, and refining its cost predictability for complex projects.Ease of Deployment and Customer Service: Axway AMPLIFY offers a user-friendly setup, although its on-premise options can complicate deployment. Azure Data Factory benefits from straightforward cloud-based deployment, backed by extensive Microsoft Azure infrastructure. Azure's customer service is often praised for its responsiveness and comprehensive online resources, setting a higher support standard.Pricing and ROI: Axway AMPLIFY is priced accessibly for small to mid-sized organizations, yielding strong ROI for specific integration needs. Azure Data Factory, though potentially more costly, offers advanced features and scalability, making it a preferred choice for large enterprises seeking significant data operations, with scalability providing greater long-term value.Review summaries and opinionsCategories and RankingAxway AMPLIFY Application I...Ranking in Data Integration42ndRanking in other categoriesNo ranking in other categoriesRanking in Data Integration1stRanking in other categoriesCloud Data Warehouse (3rd)Mindshare comparisonAs of March 2025, in the Data Integration category, the mindshare of Axway AMPLIFY Application Integration is 0.3%, up from 0.3% compared to the previous year. The mindshare of Azure Data Factory is 10.0%, down from 12.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.Featured ReviewsQuotes from MembersProsConsPricing and Cost AdviceUse our free recommendation engine to learn which Data Integration solutions are best for your needs.842,194 professionals have used our research since 2012.Top IndustriesCompany SizeQuestions from the CommunityComparisonsProduct ReportsAlso Known AsOverviewSample Customers Find out what your peers are saying about Axway AMPLIFY Application Integration vs. Azure Data Factory and other solutions. Updated: March 2025.842,194 professionals have used our

Skip to main content This browser is no longer supported. Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support. Activity continuity between Azure Data Factory (ADF) and Data Factory in Fabric Article01/22/2025 In this article -->This documentation provides an overview of the activity continuity between Azure Data Factory (ADF) and Data Factory in Fabric. As you plan your data integration and orchestration workflows, it's essential to understand which activities are available on each platform. Data Factory in Fabric aims to offer comprehensive capabilities while maintaining compatibility with ADF.Activity parity overviewWith Data Factory in Microsoft Fabric, we continue to maintain a high degree of continuity with Azure Data Factory. Approximately 90% of activities accessible in ADF are already available under Data Factory in Fabric. Here's a breakdown of the activities and their availability in both ADF and Data Factory in Fabric:ActivityADFData Factory in FabricAppend VariableYYCopyYYDeleteYYExecute/Invoke PipelineYYFailYYFilterYYFor EachYYGetMetadataYYIfYYLookupYYScriptYYSet VariableYYSprocYYSwitchYYUntilYYWaitYYWebYYWebhookYYSynapse NotebookYYAzure Function/FunctionsYYADX/KQLYYAzure Machine LearningYYAzure BatchYYAzure Databricks (3 activities in ADF)YYValidationYNHDInsight (5 activities in ADF)YNSSISYNMapping DataflowYNDataflow Gen2N/AYOffice 365 OutlookN/AYTeamsN/AYSemantic model refreshN/AYAzure Machine Learning Batch ExecutionDeprecatedN/AAzure Machine Learning Update ResourceDeprecatedN/APower Query (ADF only - Wrangling Dataflow)DeprecatedN/AUSQLDeprecatedN/ANew activities in Fabric Data FactoryIn addition to maintaining activity continuity, Data Factory in Fabric introduces some new activities to meet your richer orchestration needs. These new activities are:Outlook: Available in Fabric Data Factory to facilitate integration with Outlook services.Teams: Available in Fabric Data Factory to enable orchestration of Microsoft Teams activities.Semantic model refresh: Available in Fabric Data Factory to enhance Power BI semantic model refresh capabilities.Dataflow Gen2: Available in Fabric Data Factory to empower data orchestration with advanced dataflow capabilities.ConclusionWith Data Factory in Fabric, you can confidently transition from Azure Data Factory while maintaining a high degree of activity continuity and benefiting from new capabilities. Refer to this documentation Activity overview when planning your data integration and orchestration workflows in Fabric Data Factory. --> Feedback Additional resources In this article

Skip to main content This browser is no longer supported. Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support. Azure Data Factory whitepapers Article05/15/2024 In this article -->APPLIES TO: Azure Data Factory Azure Synapse AnalyticsWhitepapers allow you to explore Azure Data Factory at a deeper level. This article provides you with a list of available whitepapers for Azure Data Factory.WhitepaperDescriptionAzure Data Factory—Data Integration in the CloudThis paper describes how Azure Data Factory can enable you to build a modern data warehouse, enable advanced analytics to drive intelligent SaaS applications and lift your SQL Server Integrations Services packages to Azure.SAP data integration using Azure Data FactoryThis paper summarizes Azure Data Factory's current support on SAP data integration, including target scenario, SAP connector options and comparison for different requirements, and introduction on each SAP connector in Data Factory.Azure Data Factory: SSIS in the CloudThis paper goes over why you would want to migrate your existing SSIS workloads to Azure Data Factory and address common considerations and concerns. We'll then walk you through the technical details of creating an Azure-SSIS IR and then show you how to upload, execute, and monitor your packages through Azure Data Factory using the tools you are probably are familiar with like SQL Server Management Studio (SSMS).Azure data Factory -Passing ParametersThis article walks you through how to pass parameters between a pipeline and activity as well as between the activities.Azure data Factory -DevOpsThis whitepaper covers some of the best practices around continuous integration and deployment of Azure Data Factory. --> Feedback Additional resources In this article