[Home](https://www.selecthub.com/) \> [ETL](https://www.selecthub.com/category/etl/) \> [ETL Tools](https://www.selecthub.com/c/etl-tools/) \> [AWS Glue](https://www.selecthub.com/p/etl-tools/aws-glue/) \> AWS Glue Alternatives # Top AWS Glue Alternatives & Competitors For 2026 Last Updated: May 14th, 2026 Looking for alternatives to [AWS Glue](https://www.selecthub.com/p/etl-tools/aws-glue/)? Many users crave user-friendly and feature-rich solutions for tasks like Data Delivery, Platform Capabilities, and Workflow Management. Leveraging crowdsourced data from over 1,000 real [ETL Tools](https://www.selecthub.com/c/etl-tools/) selection projects based on 400+ capabilities, we present a comparison of AWS Glue to leading industry alternatives like SQL Server Integration Services, Cloud Data Fusion, DataStage, and IDMC. Remove Add to Compare Select Product AWS Glue Azure Data Factory Cloud Data Fusion DataStage Daton Dexi Fivetran Hevo IDMC Informatica PowerCenter InfoSphere Information Server Integrate.io Mozart Data Oracle Data Integrator Pentaho Pipestream Qlik Replicate Qlik Talend Data Integration SAP Data Services SAS Data Management Skyvia SQL Server SQL Server Integration Services Talend Task Factory TIBCO Cloud Integration [![AWS Glue Software Tool](https://cdn.selecthub.com/products/3a077e8acfc4a2b463c47f2125fdfac5-d34e433e93d77f5433219e5f1602055c/resources/normal/logo.png?1693319122)](https://www.selecthub.com/p/etl-tools/aws-glue/) [ ![Product Awards](https://www.selecthub.com/display/images/awards_badge.svg) ](#awards-section) Remove Add to Compare Select Product AWS Glue Azure Data Factory Cloud Data Fusion DataStage Daton Dexi Fivetran Hevo IDMC Informatica PowerCenter InfoSphere Information Server Integrate.io Mozart Data Oracle Data Integrator Pentaho Pipestream Qlik Replicate Qlik Talend Data Integration SAP Data Services SAS Data Management Skyvia SQL Server SQL Server Integration Services Talend Task Factory TIBCO Cloud Integration [![SQL Server Integration Services Software Tool](https://cdn.selecthub.com/products/cb7c403aa312160380010ee3dd4bfc53-d5d4a4accecd01292c3fe463dfa4e3f4/resources/normal/logo.png?1693319127)](https://www.selecthub.com/p/etl-tools/sql-server-integration-services/) [ ![Product Awards](https://www.selecthub.com/display/images/awards_badge.svg) ](#awards-section) Remove Add to Compare Select Product AWS Glue Azure Data Factory Cloud Data Fusion DataStage Daton Dexi Fivetran Hevo IDMC Informatica PowerCenter InfoSphere Information Server Integrate.io Mozart Data Oracle Data Integrator Pentaho Pipestream Qlik Replicate Qlik Talend Data Integration SAP Data Services SAS Data Management Skyvia SQL Server SQL Server Integration Services Talend Task Factory TIBCO Cloud Integration [![Cloud Data Fusion Software Tool](https://cdn.selecthub.com/products/a00ba776735f6e27e0619d46a07be9d3-72659ca2e94387960aa3459b402d683a/resources/normal/logo.png?1733348311)](https://www.selecthub.com/p/etl-tools/cloud-data-fusion/) [ ![Product Awards](https://www.selecthub.com/display/images/awards_badge.svg) ](#awards-section) Remove Add to Compare Select Product AWS Glue Azure Data Factory Cloud Data Fusion DataStage Daton Dexi Fivetran Hevo IDMC Informatica PowerCenter InfoSphere Information Server Integrate.io Mozart Data Oracle Data Integrator Pentaho Pipestream Qlik Replicate Qlik Talend Data Integration SAP Data Services SAS Data Management Skyvia SQL Server SQL Server Integration Services Talend Task Factory TIBCO Cloud Integration [![DataStage Software Tool](https://cdn.selecthub.com/products/cb804af641d900ffe033193d2b7c4a84-1f44ac3f519320e49228a786c39955e7/resources/normal/logo.png?1733344453)](https://www.selecthub.com/p/etl-tools/datastage/) Remove Add to Compare Select Product AWS Glue Azure Data Factory Cloud Data Fusion DataStage Daton Dexi Fivetran Hevo IDMC Informatica PowerCenter InfoSphere Information Server Integrate.io Mozart Data Oracle Data Integrator Pentaho Pipestream Qlik Replicate Qlik Talend Data Integration SAP Data Services SAS Data Management Skyvia SQL Server SQL Server Integration Services Talend Task Factory TIBCO Cloud Integration [![IDMC Software Tool](https://cdn.selecthub.com/products/884e49a58a63060782d767feed8e6c88-4c8f04c2eed197e60f5cbec95cf53470/resources/normal/logo.png?1706235336)](https://www.selecthub.com/p/data-management-tools/informatica-idmc/) [ ![Product Awards](https://www.selecthub.com/display/images/awards_badge.svg) ](#awards-section) [Get Free Demo](https://pmo.selecthub.com/get-product-demo/?category=ETL+Tools&product%5Fname=AWS%2BGlue&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2F3a077e8acfc4a2b463c47f2125fdfac5-d34e433e93d77f5433219e5f1602055c%2Fresources%2Fnormal%2Flogo.png%3F1693319122) [Get Free Demo](https://pmo.selecthub.com/get-product-demo/?category=ETL+Tools&product%5Fname=SQL%2BServer%2BIntegration%2BServices&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2Fcb7c403aa312160380010ee3dd4bfc53-d5d4a4accecd01292c3fe463dfa4e3f4%2Fresources%2Fnormal%2Flogo.png%3F1693319127) [Get Free Demo](https://pmo.selecthub.com/get-product-demo/?category=ETL+Tools&product%5Fname=Cloud%2BData%2BFusion&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2Fa00ba776735f6e27e0619d46a07be9d3-72659ca2e94387960aa3459b402d683a%2Fresources%2Fnormal%2Flogo.png%3F1733348311) [Get Free Demo](https://pmo.selecthub.com/get-product-demo/?category=ETL+Tools&product%5Fname=DataStage&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2Fcb804af641d900ffe033193d2b7c4a84-1f44ac3f519320e49228a786c39955e7%2Fresources%2Fnormal%2Flogo.png%3F1733344453) [Get Free Demo](https://pmo.selecthub.com/get-product-demo/?category=ETL+Tools&product%5Fname=IDMC&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2F884e49a58a63060782d767feed8e6c88-4c8f04c2eed197e60f5cbec95cf53470%2Fresources%2Fnormal%2Flogo.png%3F1706235336) ### Product Insights Overall Rating Comparison [ Analyst Rating 88 Detailed Analysis ](#analyst-rating-section) [ User Sentiment ![Great User Sentiment](https://www.selecthub.com/display/images/scores/great.svg) (165 Reviews) ](#user-sentiment-section) [ Analyst Rating 90 Detailed Analysis ](#analyst-rating-section) [ User Sentiment ![Great User Sentiment](https://www.selecthub.com/display/images/scores/great.svg) (503 Reviews) ](#user-sentiment-section) [ Analyst Rating 93 Detailed Analysis ](#analyst-rating-section) [ User Sentiment ![Excellent User Sentiment](https://www.selecthub.com/display/images/scores/excellent.svg) (139 Reviews) ](#user-sentiment-section) [ Analyst Rating 91 Detailed Analysis ](#analyst-rating-section) [ User Sentiment ![Great User Sentiment](https://www.selecthub.com/display/images/scores/great.svg) (208 Reviews) ](#user-sentiment-section) [ Analyst Rating 98 Detailed Analysis ](#analyst-rating-section) [ User Sentiment ![Great User Sentiment](https://www.selecthub.com/display/images/scores/great.svg) (453 Reviews) ](#user-sentiment-section) Price Starts From $0.44/M-DPU-Hour, Usage-Based Free Trial is unavailable → $300 Monthly [ Free Trial is available →](https://pmo.selecthub.com/free-trial/?product%5Fname=SQL Server Integration Services&category=ETL Tools&product%5Flogo=https://d3uimxdj41cg3o.cloudfront.net/products/cb7c403aa312160380010ee3dd4bfc53-d5d4a4accecd01292c3fe463dfa4e3f4/resources/normal/logo.png?1693319127) $10 Monthly, Freemium Free Trial is unavailable → $1.75/Capacity Unit-Hour, Usage-Based [ Free Trial is available →](https://pmo.selecthub.com/free-trial/?product%5Fname=DataStage&category=ETL Tools&product%5Flogo=https://d3uimxdj41cg3o.cloudfront.net/products/cb804af641d900ffe033193d2b7c4a84-1f44ac3f519320e49228a786c39955e7/resources/normal/logo.png?1733344453) $1,000 Monthly [ Free Trial is available →](https://pmo.selecthub.com/free-trial/?product%5Fname=IDMC&category=ETL Tools&product%5Flogo=https://d3uimxdj41cg3o.cloudfront.net/products/884e49a58a63060782d767feed8e6c88-4c8f04c2eed197e60f5cbec95cf53470/resources/normal/logo.png?1706235336) Pros * **Cost-Effective & Serverless:** Pay only for resources used, eliminates server provisioning and maintenance * **Simplified ETL workflows:** Drag-and-drop UI & auto-generated code for easy job creation, even for non-programmers * **Data Catalog:** Unified metadata repository for seamless discovery & access across various data sources * **Flexible Data Integration:** Connects to diverse data sources & destinations (S3, Redshift, RDS, etc.) * **Visual Workflow:** Drag-and-drop interface simplifies complex data flows, making integration tasks intuitive and manageable, even for users without extensive coding experience. * **Robust Data Transformations:** Cleanses, transforms, and validates data to ensure accuracy and consistency before integration, improving data quality and trust in downstream analytics. * **Microsoft Integration:** Seamlessly integrates with other Microsoft tools and platforms like SQL Server and Azure, streamlining data workflows within existing infrastructure and reducing the need for additional software. * **Scalability and Performance:** Handles large datasets efficiently with parallel processing and optimization techniques, minimizing processing time and ensuring smooth data integration for growing data volumes. * **Visual Interface:** Build and manage pipelines with a drag-and-drop interface, eliminating the need for extensive coding knowledge. * **Scalability:** Handle large and complex datasets with ease, seamlessly scaling to meet changing demands. * **Integrations:** Connect to a wide range of data sources and destinations, both on-premises and in the cloud. * **Pre-Built Templates:** Streamline development with ready-to-use templates for common ETL tasks, accelerating time to value. * **Efficient Handling of Large Datasets:** Parallel processing capabilities enable DataStage to distribute tasks across multiple servers, significantly speeding up the processing of large datasets. * **Robust Error Handling and Logging:** Users appreciate the built-in error handling mechanisms and logging features for identifying and troubleshooting issues effectively. * **Data Quality Tools and Lineage Tracking:** DataStage offers a range of data quality tools and transformers, along with staging tables and lineage tracking, to ensure data consistency and traceability. * **Flexible Scheduling and Monitoring:** Users find the Job Conductor's flexibility in scheduling jobs, as well as the real-time monitoring dashboards and email alerts, to be valuable for managing ETL workflows. * **User-friendly interface:** Intuitive drag-and-drop interface simplifies development and reduces reliance on coding expertise. * **Cloud-native architecture:** Streamlines deployment, eliminates infrastructure management, and offers automatic updates. * **Comprehensive integration capabilities:** Connects to a vast array of sources and targets, encompassing databases, cloud applications, and file formats. * **Scalable performance:** Handles large data volumes efficiently, ensuring timely data delivery for critical business processes. Cons * **Limited Customization & Control:** Visual interface and pre-built transformations may not be flexible enough for complex ETL needs, requiring manual coding or custom Spark jobs. * **Debugging Challenges:** Troubleshooting Glue jobs can be complex due to limited visibility into underlying Spark code and distributed execution, making error resolution time-consuming. * **Performance Limitations for Certain Workloads:** Serverless architecture may not be optimal for latency-sensitive workloads or large-scale data processing, potentially leading to bottlenecks. * **Vendor Lock-in & Portability:** Migrating ETL workflows from Glue to other platforms can be challenging due to its proprietary nature and lack of open-source compatibility. * **Limited Open Source:** Relies heavily on Microsoft technologies and lacks extensive open-source integrations, potentially restricting customization and community support compared to more open platforms. * **Steep Learning Curve:** While the visual interface is helpful, mastering complex data flows and transformations can require significant training and experience, especially for users unfamiliar with the platform. * **Windows Only:** Limited to Windows environments, excluding non-Microsoft operating systems like Linux or macOS, hindering platform flexibility and potentially requiring additional infrastructure investment. * **Closed-Source Ecosystem:** Limited transparency into internal algorithms and processes can make troubleshooting and debugging complex issues challenging, requiring specialized knowledge or relying on Microsoft support. * **Learning Curve:** Interface and concepts can be initially challenging for those unfamiliar with data pipelines or Apache Beam. * **Cost:** Pricing model can become expensive for large-scale or complex deployments, especially with high data volumes. * **Debugging:** Troubleshooting pipeline errors can be difficult due to limited logging and error messages. * **Customization Limits:** Reliance on pre-built plugins and connectors can restrict flexibility for highly customized or niche use cases. * **Steep Learning Curve:** Users often cite the complex interface and extensive features as having a steep learning curve, requiring dedicated training and experience to master. * **Debugging Challenges:** Troubleshooting errors in complex DataStage jobs can be time-consuming, as the debugging tools can be limited and intricate to navigate. * **Potential Performance Issues:** While parallel processing is a strength, inefficient job design or resource constraints can lead to performance bottlenecks, requiring careful optimization. * **Licensing Costs:** The licensing model can be seen as expensive, especially for large-scale deployments or cloud-based environments. * **Learning curve:** While user-friendly, mastering its full capabilities can require a learning investment, especially for those new to ETL tools. * **Cost:** Can be relatively expensive compared to some alternatives, potentially limiting adoption for smaller organizations or those with tight budgets. * **Limited customization:** Certain features and integrations might offer less flexibility for tailored solutions compared to more open-source alternatives. * **Technical support:** Users have occasionally reported mixed experiences with the quality and responsiveness of technical support. ### Our Review User reviews of AWS Glue paint a picture of a powerful and user-friendly ETL tool for the cloud, but one with limitations. Praise often centers around its intuitive visual interface, making complex data pipelines accessible even to non-programmers. Pre-built connectors and automated schema discovery further simplify setup, saving users time and effort. Glue's serverless nature and tight integration with the broader AWS ecosystem are also major draws, offering seamless scalability and data flow within a familiar environment. However, some users find Glue's strength in simplicity a double-edged sword. For complex transformations beyond basic filtering and aggregation, custom scripting in Python or Scala is required, limiting flexibility for those unfamiliar with these languages. On-premise data integration is another pain point, with Glue primarily catering to cloud-based sources. This leaves users seeking hybrid deployments or integration with legacy systems feeling somewhat stranded. Cost also arises as a concern. Glue's pay-per-use model can lead to unexpected bills for large data volumes or intricate pipelines, unlike some competitors offering fixed monthly subscriptions. Additionally, Glue's deep integration with AWS can create lock-in anxieties for users worried about switching cloud providers in the future. Overall, user reviews suggest Glue shines in cloud-based ETL for users comfortable with its visual interface and scripting limitations. Its scalability, ease of use, and AWS integration are undeniable strengths. However, for complex transformations, on-premise data needs, or cost-conscious users, alternative tools may offer a better fit. Show more User reviews of SQL Server Integration Services paint a contrasting picture. Proponents praise its intuitive visual workflow, robust data transformation capabilities, and seamless integration with the Microsoft ecosystem. This makes it ideal for organizations already invested in Microsoft tools and requiring efficient data movement within Windows environments. The built-in security features and scalability for handling large datasets are further pluses, offering peace of mind and ensuring smooth performance for growing data volumes. However, critics point to its heavy reliance on Microsoft technologies and limited open-source compatibility as major drawbacks. This can restrict customization and community support compared to more open platforms like Talend or Apache Airflow. The steep learning curve and Windows-only limitation can also be hurdles, requiring dedicated training and potentially hindering platform flexibility. Additionally, the closed-source nature can make troubleshooting complex issues challenging. Finally, pricing tied to SQL Server editions may not be cost-effective for organizations needing only basic data integration functionalities or using other database solutions. Ultimately, SQL Server Integration Services shines for its robust data handling, intuitiveness, and Microsoft integration within Windows environments. However, its limited open-source compatibility, steep learning curve, and reliance on SQL Server licensing make it less ideal for organizations seeking greater flexibility, affordability, or platform independence. Carefully weighing your specific needs and resources against its strengths and limitations is crucial before choosing SSIS for your data integration needs. Show more Cloud Data Fusion emerges from user reviews as a powerful ETL tool, particularly for those prioritizing ease of use and visual workflow. Its drag-and-drop interface and pre-built templates are praised for accelerating development and reducing the need for coding expertise, making it ideal for ETL beginners or teams with mixed skillsets. This accessibility shines compared to competitors like Fivetran or Stitch, which often require more technical knowledge. However, Cloud Data Fusion's user experience isn't without its bumps. Some find the learning curve steeper than expected, particularly when troubleshooting complex pipelines. Additionally, the pricing structure can become expensive for large-scale deployments, especially compared to open-source options like Airflow. For smaller teams or budget-conscious users, these drawbacks might outweigh the benefits. Where Cloud Data Fusion truly shines is its focus on collaboration and security. Features like pipeline sharing and access control promote teamwork and knowledge transfer, while leveraging Google Cloud's robust security infrastructure is a major selling point for data-sensitive organizations. This focus on collaboration and security differentiates Cloud Data Fusion from competitors, making it a compelling choice for teams working on critical data pipelines. Ultimately, Cloud Data Fusion's strengths and weaknesses paint a picture of a versatile ETL tool that excels in ease of use, collaboration, and security. While its learning curve and pricing might deter some, its user-friendly interface and focus on specific needs make it a strong contender for teams seeking a streamlined and secure ETL solution. Show more User opinions on DataStage paint a contrasting picture. On the one hand, it earns praise for its sheer power and versatility. Its parallel processing muscles tackle massive datasets with ease, while its robust error handling and data quality tools keep pipelines flowing smoothly. Integration with diverse data sources, from legacy databases to cloud platforms, is another major plus, making it a one-stop shop for complex ETL needs. These strengths are especially valuable for large enterprises with intricate data landscapes. However, DataStage's complexity can be a double-edged sword. Its feature-rich interface and steep learning curve can intimidate newcomers, and troubleshooting intricate jobs can be a puzzle. Users also point to occasional performance hiccups, highlighting the need for careful optimization under heavy workloads. Additionally, while cloud connectivity exists, some find it less seamless compared to native cloud-based ETL tools, which might not be ideal for organizations prioritizing cloud agility. When compared to competitors, DataStage shines in its scalability and feature depth. For handling massive data volumes and complex transformations, it stands out. However, for smaller-scale needs or organizations prioritizing ease of use and native cloud integration, lighter-weight ETL options might be more appealing. Ultimately, the choice boils down to individual priorities and project complexity. DataStage remains a powerful beast, but acknowledging its learning curve and potential cloud limitations is crucial for a balanced evaluation. Show more User reviews of Informatica IDMC in the past year paint a picture of a powerful ETL tool with strengths in user-friendliness, cloud-native architecture, and comprehensive data integration. Its intuitive interface and drag-and-drop features make it accessible even for those with limited coding experience, a major advantage over more complex competitors like Talend Open Studio. However, its cloud-based nature can be a double-edged sword: while it offers scalability and automatic updates, it also locks users into Informatica's infrastructure, potentially hindering migration to other cloud providers. The robust data quality features of IDMC are another highlight, cited as crucial for ensuring reliable data-driven decisions. Compared to competitors like Pentaho Data Integration, IDMC's built-in cleansing and validation capabilities are seen as a significant advantage, saving time and effort. However, some users have expressed concerns about the learning curve associated with mastering IDMC's full potential, especially compared to more lightweight alternatives like Fivetran. While cost is a common concern with any enterprise software, IDMC's price tag can be particularly prohibitive for smaller companies or those on tight budgets. Users often compare it to open-source options like Apache Airflow, which offer similar functionality at a fraction of the cost. However, the lack of built-in features and steeper learning curve of open-source options can negate the cost savings for some organizations. Ultimately, user reviews suggest that IDMC is a valuable ETL tool for organizations seeking a user-friendly, cloud-based solution with robust data integration and quality features. However, its pricing and potential vendor lock-in are important considerations. Weighing these strengths and weaknesses against the needs and budget of your organization will determine whether IDMC is the right ETL fit for you. Show more ### Analyst Rating Summary Overall Scores Based on the research and analysis by SelectHub's team of research analysts, AWS Glue has an analyst rating of 88\. By comparison to AWS Glue alternatives, SQL Server Integration Services has an analyst rating of 90, Cloud Data Fusion has an analyst rating of 93, DataStage has an analyst rating of 91, and IDMC has an analyst rating of 98. 88 90 93 91 98 Features Comparison **Data Delivery** Streamline your data from countless sources into one spot, making it perfectly clean and ready for instant use in all your reports and decisions. 100 88 100 97 100 **Data Quality** Ensure your business decisions are always based on reliable, accurate information by automatically catching and fixing errors in your data before it's used. 92 100 84 97 100 **Data Sources and Targets Connectivity** Connect to virtually any data system you already use, pulling information effortlessly from where it is and placing it exactly where it needs to be. 62 76 88 70 98 [Show More](#) [Show More](https://pmo.selecthub.com/customize-data/?category=ETL Tools) Strengths The best features of AWS Glue, SQL Server Integration Services, Cloud Data Fusion, DataStage and IDMC as judged by user reviews and analyst validation. Data Delivery Performance and Scalability Platform Capabilities Platform Security Workflow Management Data Quality Data Transformation Platform Security Metadata Management Workflow Management Data Delivery Performance and Scalability Platform Security Data Transformation Metadata Management Metadata Management Performance and Scalability Platform Capabilities Platform Security Data Delivery Data Delivery Data Quality Metadata Management Performance and Scalability Platform Capabilities ### Analyst Ratings for Functional Requirements [Customize This Data](#) [Customize This Data](https://pmo.selecthub.com/customize-data/?category=ETL Tools) How all solutions compare against the top 7 functional requirements as defined by SelectHub project data. AWS Glue SQL Server Integration Services Cloud Data Fusion DataStage IDMC \+ Add Product [\+ Add Product](https://pmo.selecthub.com/customize-data/?category=ETL Tools) Data Delivery Data Quality Data Sources AndTargets Connectivity Data Transformation Metadata Management Platform Capabilities Workflow Management 100 92 62 90 96 100 100 88 100 76 100 93 0 91 100 84 88 98 96 86 95 97 97 70 94 100 100 96 100 100 98 96 100 100 96 0 25 50 75 100 Implementation Level of Effort Estimation **Supported:** Fully / moderately supported out-of-the-box allowing for quick and easy deployment. **Not Supported:** Requires workarounds, add-ons, partner integrations or custom development with or without additional costs. [Read more](#) **Data Delivery** Streamline your data from countless sources into one spot, making it perfectly clean and ready for instant use in all your reports and decisions. 100% 89% 11% 100% 90% 10% 100% **Data Quality** Ensure your business decisions are always based on reliable, accurate information by automatically catching and fixing errors in your data before it's used. 85% 15% 100% 69% 31% 92% 8% 100% **Data Sources and Targets Connectivity** Connect to virtually any data system you already use, pulling information effortlessly from where it is and placing it exactly where it needs to be. 36% 64% 54% 46% 79% 21% 68% 32% 100% **Data Transformation** Reshape and combine all your diverse data into a single, standardized format that perfectly fits your analysis tools and reporting needs. 88% 12% 100% 96% 4% 92% 8% 96% 4% **Metadata Management** Keep track of exactly where all your data comes from, what changes have been made to it, and where it goes, ensuring perfect transparency and control. 90% 10% 88% 12% 90% 10% 100% 100% **Platform Capabilities** Run your data integration tasks reliably across your entire IT infrastructure, whether it’s on-premises, in the cloud, or a combination of both. 100% unsupported 86% 14% 100% 100% **Workflow Management** Schedule and automate your entire data pipeline to run reliably behind the scenes, ensuring fresh, updated information is always ready when you need it. 100% 80% 20% 90% 10% 90% 10% 90% 10% ### Analyst Ratings for Technical Requirements [Customize This Data](#) [Customize This Data](https://pmo.selecthub.com/customize-data/?category=ETL Tools) Implementation Level of Effort Estimation **Supported:** Fully / moderately supported out-of-the-box allowing for quick and easy deployment. **Not Supported:** Requires workarounds, add-ons, partner integrations or custom development with or without additional costs. [Read more](#) **Performance and Scalability** Handle enormous data volumes quickly and reliably, and easily expand your capacity to keep pace as your business and data continue to grow. 100% unsupported 100% 100% 100% **Platform Security** Keep your sensitive data completely safe and meet all compliance rules by controlling exactly who can access and change your critical information. 100% 90% 10% 100% 100% 100% **Analyst Message:** In effort to simplify your complex software decisions, this information is based on all industries and company sizes. We advise you to drill further into our data to discover how this information looks for your unique needs. [CUSTOMIZE THIS DATA ](#) [CUSTOMIZE NOW](https://pmo.selecthub.com/customize-data/?category=ETL Tools) ### User Sentiment Summary AWS Glue has a user sentiment rating of 85 based on 165 reviews. SQL Server Integration Services has a user sentiment rating of 84 based on 503 reviews. Cloud Data Fusion has a user sentiment rating of 92 based on 139 reviews. DataStage has a user sentiment rating of 85 based on 208 reviews. IDMC has a user sentiment rating of 84 based on 453 reviews. ![Great User Sentiment](https://www.selecthub.com/display/images/scores/great.svg) 165 reviews ![Great User Sentiment](https://www.selecthub.com/display/images/scores/great.svg) 503 reviews ![Excellent User Sentiment](https://www.selecthub.com/display/images/scores/excellent.svg) 139 reviews ![Great User Sentiment](https://www.selecthub.com/display/images/scores/great.svg) 208 reviews ![Great User Sentiment](https://www.selecthub.com/display/images/scores/great.svg) 453 reviews Synopsis Evaluating all review platforms, our market analysts have compiled the following user sentiment data. 85% of users recommend this product AWS Glue has a 'great' User Satisfaction Rating of 85% when considering 165 user reviews from 3 recognized software review sites. 84% of users recommend this product SQL Server Integration Services has a 'great' User Satisfaction Rating of 84% when considering 503 user reviews from 2 recognized software review sites. 92% of users recommend this product Cloud Data Fusion has a 'excellent' User Satisfaction Rating of 92% when considering 139 user reviews from 2 recognized software review sites. 85% of users recommend this product DataStage has a 'great' User Satisfaction Rating of 85% when considering 208 user reviews from 3 recognized software review sites. 84% of users recommend this product IDMC has a 'great' User Satisfaction Rating of 84% when considering 453 user reviews from 3 recognized software review sites. User Review Scores **G2.com, Inc** **4.0** (46) n/a **5.0** (2) **4.0** (69) **4.2** (282) **Gartner, Inc** **4.4** (109) **4.3** (279) **4.6** (137) **4.4** (104) **4.4** (127) **TrustRadius** **3.9** (10) **4.1** (224) n/a **4.2** (35) **3.5** (44) ### Awards SelectHub awards earned by these products based on a comprehensive analysis by our research analysts. ![Workflow Management Award]() ![Data Transformation Award]() ![User Favorite Award]() No awards. ![Analysts' Pick Award]() ![Data Sources and Targets Connectivity Award]() ### Product Assistance Training Resources Documentation In Person Live Online Videos Webinars Documentation In Person Live Online Videos Webinars Documentation In Person Live Online Videos Webinars Documentation In Person Live Online Videos Webinars Documentation In Person Live Online Videos Webinars Support Email Phone Chat FAQ Forum Knowledge Base 24/7 Live Support Email Phone Chat FAQ Forum Knowledge Base 24/7 Live Support Email Phone Chat FAQ Forum Knowledge Base 24/7 Live Support Email Phone Chat FAQ Forum Knowledge Base 24/7 Live Support Email Phone Chat FAQ Forum Knowledge Base 24/7 Live Support ### Product Basics Company Size i Small Medium Large Small Medium Large Small Medium Large Small Medium Large Small Medium Large Platforms Supported Windows Mac Linux Android Chromebook Windows Mac Linux Android Chromebook Windows Mac Linux Android Chromebook Windows Mac Linux Android Chromebook Windows Mac Linux Android Chromebook Deployment Supported Cloud On-Premise Mobile Cloud On-Premise Mobile Cloud On-Premise Mobile Cloud On-Premise Mobile Cloud On-Premise Mobile ### Top Alternatives in ETL Tools [ Azure Data Factory ](https://www.selecthub.com/p/data-integration-tools/azure-data-factory/) [ Cloud Data Fusion ](https://www.selecthub.com/p/etl-tools/cloud-data-fusion/) [ Dataflow ](https://www.selecthub.com/p//dataflow/) [ DataStage ](https://www.selecthub.com/p/etl-tools/datastage/) [ Fivetran ](https://www.selecthub.com/p/etl-tools/fivetran/) [ Hevo ](https://www.selecthub.com/p/etl-tools/hevo-data/) [ IDMC ](https://www.selecthub.com/p/data-management-tools/informatica-idmc/) [ Informatica PowerCenter ](https://www.selecthub.com/p/etl-tools/informatica-powercenter/) [ InfoSphere Information Server ](https://www.selecthub.com/p/data-integration-tools/infosphere-information-server/) [ Integrate.io ](https://www.selecthub.com/p/etl-tools/integrate-io/) [ Oracle Data Integrator ](https://www.selecthub.com/p/data-integration-tools/oracle-data-integrator/) [ Pentaho ](https://www.selecthub.com/p/data-management-tools/pentaho/) [ Qlik Talend Data Integration ](https://www.selecthub.com/p/data-integration-tools/qlik-talend-data-integration/) [ SAP Data Services ](https://www.selecthub.com/p/etl-tools/sap-data-services/) [ SAS Data Management ](https://www.selecthub.com/p/data-management-tools/sas-data-management/) [ Skyvia ](https://www.selecthub.com/p/data-integration-tools/skyvia/) [ SQL Server ](https://www.selecthub.com/p/relational-database-solutions/sql-server/) [ SQL Server Integration Services ](https://www.selecthub.com/p/etl-tools/sql-server-integration-services/) [ Talend ](https://www.selecthub.com/p/data-management-tools/talend/) [ TIBCO Cloud Integration ](https://www.selecthub.com/p/ipaas-solutions/tibco-cloud-integration/) ### Related Categories These products can also be found with other leading products in these categories: [ Data Integration Tools ](https://www.selecthub.com/c/data-integration-tools/) Show more [ Data Integration Tools ](https://www.selecthub.com/c/data-integration-tools/) Show more [ Data Integration Tools ](https://www.selecthub.com/c/data-integration-tools/) Show more [ Data Integration Tools ](https://www.selecthub.com/c/data-integration-tools/) Show more [ Data Governance Tools ](https://www.selecthub.com/c/data-governance-tools/) [ Data Integration Tools 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Our market data is crowdsourced from our user-base of 100,000+ companies. WE DISTILL IT INTO REAL REQUIREMENTS, COMPARISON REPORTS, PRICE GUIDES and more... ![SelectHub Products Reporting and Analytics]() [ Build Your Requirements](https://pmo.selecthub.com/etl-tools-requirements-onsite/) ![SelectHub Products Cost and Pricing Guide]() [ Get Your Free Comparison Report](https://pmo.selecthub.com/request-custom-scorecard/?category=ETL%20Tools) **Supported:** Fully or moderately supported out-of-the-box with industry-leading capabilities and is immediately available after installation without needing any add-ons, integrations, or custom development. **Not Supported:** Not directly available in the software, but can be accomplished using other built-in features, workarounds, or add-ons/products from the vendor at an additional cost. At most, requires additional integrations, plugins, marketplace applications from a third-party vendor, or custom development using the APIs, libraries, extensions, and development framework supported by the software, with or without any additional cost. [Close](#) ```json { "@context": "https://schema.org", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://www.selecthub.com/" }, { "@type": "ListItem", "position": 2, "name": "ETL", "item": "https://www.selecthub.com/category/etl/" }, { "@type": "ListItem", "position": 3, "name": "ETL Tools", "item": "https://www.selecthub.com/c/etl-tools/" }, { "@type": "ListItem", "position": 4, "name": "AWS Glue", "item": "https://www.selecthub.com/p/etl-tools/aws-glue/" }, { "@type": "ListItem", "position": 5, "name": "AWS Glue Alternatives" } ] } ```