# Top 10 Appen Alternatives & Competitors **Average Rating:** 4.2/5 **Total Number of Reviews:** 35 If you are considering Appen, you may also want to investigate similar alternatives or competitors to find the best solution. Machine Learning Data Catalog Software is a widely used technology, and many people are seeking easy to use, top rated software solutions with user access management, machine learning recommendations, and ai text summarization. Other important factors to consider when researching alternatives to Appen include tasks and projects. The best overall Appen alternative is SuperAnnotate. Other similar apps like Appen are Amazon Sagemaker Ground Truth, Prolific, V7 Darwin, and AWS Glue. Appen alternatives can be found in [Machine Learning Data Catalog Software](https://www.g2.com/categories/machine-learning-data-catalog) but may also be in [Data Labeling Software](https://www.g2.com/categories/data-labeling) or [User Research Tools](https://www.g2.com/categories/user-research). ## Best Paid & Free Alternatives to Appen - [SuperAnnotate](https://www.g2.com/products/superannotate/reviews) - [Amazon Sagemaker Ground Truth](https://www.g2.com/products/amazon-sagemaker-ground-truth/reviews) - [Prolific](https://www.g2.com/products/prolific/reviews) - [V7 Darwin](https://www.g2.com/products/v7-darwin/reviews) - [AWS Glue](https://www.g2.com/products/aws-glue/reviews) - [Labelbox](https://www.g2.com/products/labelbox/reviews) - [Roboflow](https://www.g2.com/products/roboflow/reviews) - [Dataloop](https://www.g2.com/products/dataloop-dataloop/reviews) - [ServiceNow Workflow Data Fabric](https://www.g2.com/products/servicenow-workflow-data-fabric/reviews) - [Cloudera](https://www.g2.com/products/cloudera/reviews) ## Top 10 Alternatives to Appen Recently Reviewed By G2 Community Browse options below. Based on reviewer data, you can see how Appen stacks up to the competition, check reviews from current & previous users in industries like Information Technology and Services, Internet, and Financial Services, and find the best product for your business. ### 1. [SuperAnnotate](https://www.g2.com/products/superannotate/reviews) By SuperAnnotate **Average Rating:** 4.8/5 **Total Reviews:** 381 SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data. Reviewers say compared to Appen, SuperAnnotate is: - More expensive - Better at support - More usable Categories in common with Appen: [Data Labeling](https://www.g2.com/categories/data-labeling) **Compare:** [Appen vs SuperAnnotate](https://www.g2.com/compare/appen-vs-superannotate) **Compare SuperAnnotate with other alternatives:** - [SuperAnnotate vs Amazon Sagemaker Ground Truth](https://www.g2.com/compare/amazon-sagemaker-ground-truth-vs-superannotate) - [SuperAnnotate vs Prolific](https://www.g2.com/compare/prolific-vs-superannotate) - [SuperAnnotate vs V7 Darwin](https://www.g2.com/compare/superannotate-vs-v7-darwin) - [SuperAnnotate vs AWS Glue](https://www.g2.com/compare/aws-glue-vs-superannotate) - [SuperAnnotate vs Labelbox](https://www.g2.com/compare/labelbox-vs-superannotate) - [SuperAnnotate vs Roboflow](https://www.g2.com/compare/roboflow-vs-superannotate) - [SuperAnnotate vs Dataloop](https://www.g2.com/compare/dataloop-dataloop-vs-superannotate) - [SuperAnnotate vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/servicenow-workflow-data-fabric-vs-superannotate) - [SuperAnnotate vs Cloudera](https://www.g2.com/compare/cloudera-vs-superannotate) ### 2. [Amazon Sagemaker Ground Truth](https://www.g2.com/products/amazon-sagemaker-ground-truth/reviews) By Amazon Web Services (AWS) **Average Rating:** 4.1/5 **Total Reviews:** 19 Amazon SageMaker Ground Truth helps you build highly accurate training datasets for machine learning quickly. SageMaker Ground Truth offers easy access to public and private human labelers and provides them with built-in workflows and interfaces for common labeling tasks. Reviewers say compared to Appen, Amazon Sagemaker Ground Truth is: - Better at support - More expensive - More usable Categories in common with Appen: [Data Labeling](https://www.g2.com/categories/data-labeling) **Compare:** [Appen vs Amazon Sagemaker Ground Truth](https://www.g2.com/compare/amazon-sagemaker-ground-truth-vs-appen) **Compare Amazon Sagemaker Ground Truth with other alternatives:** - [Amazon Sagemaker Ground Truth vs SuperAnnotate](https://www.g2.com/compare/amazon-sagemaker-ground-truth-vs-superannotate) - [Amazon Sagemaker Ground Truth vs Prolific](https://www.g2.com/compare/amazon-sagemaker-ground-truth-vs-prolific) - [Amazon Sagemaker Ground Truth vs V7 Darwin](https://www.g2.com/compare/amazon-sagemaker-ground-truth-vs-v7-darwin) - [Amazon Sagemaker Ground Truth vs AWS Glue](https://www.g2.com/compare/aws-glue-vs-amazon-sagemaker-ground-truth) - [Amazon Sagemaker Ground Truth vs Labelbox](https://www.g2.com/compare/amazon-sagemaker-ground-truth-vs-labelbox) - [Amazon Sagemaker Ground Truth vs Roboflow](https://www.g2.com/compare/amazon-sagemaker-ground-truth-vs-roboflow) - [Amazon Sagemaker Ground Truth vs Dataloop](https://www.g2.com/compare/amazon-sagemaker-ground-truth-vs-dataloop-dataloop) - [Amazon Sagemaker Ground Truth vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/amazon-sagemaker-ground-truth-vs-servicenow-workflow-data-fabric) - [Amazon Sagemaker Ground Truth vs Cloudera](https://www.g2.com/compare/amazon-sagemaker-ground-truth-vs-cloudera) ### 3. [Prolific](https://www.g2.com/products/prolific/reviews) By Prolific **Average Rating:** 4.6/5 **Total Reviews:** 238 We help facilitate a higher standard of online research. Conduct research with 130,000+ vetted participants and gain insights you can rely on. Reviewers say compared to Appen, Prolific is: - More expensive - Easier to do business with - Better at meeting requirements Categories in common with Appen: [Data Labeling](https://www.g2.com/categories/data-labeling) **Compare:** [Appen vs Prolific](https://www.g2.com/compare/appen-vs-prolific) **Compare Prolific with other alternatives:** - [Prolific vs SuperAnnotate](https://www.g2.com/compare/prolific-vs-superannotate) - [Prolific vs Amazon Sagemaker Ground Truth](https://www.g2.com/compare/amazon-sagemaker-ground-truth-vs-prolific) - [Prolific vs V7 Darwin](https://www.g2.com/compare/prolific-vs-v7-darwin) - [Prolific vs AWS Glue](https://www.g2.com/compare/aws-glue-vs-prolific) - [Prolific vs Labelbox](https://www.g2.com/compare/labelbox-vs-prolific) - [Prolific vs Roboflow](https://www.g2.com/compare/prolific-vs-roboflow) - [Prolific vs Dataloop](https://www.g2.com/compare/dataloop-dataloop-vs-prolific) - [Prolific vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/prolific-vs-servicenow-workflow-data-fabric) - [Prolific vs Cloudera](https://www.g2.com/compare/cloudera-vs-prolific) ### 4. [V7 Darwin](https://www.g2.com/products/v7-darwin/reviews) By V7 **Average Rating:** 4.7/5 **Total Reviews:** 55 V7 Darwin is a data labeling platform used by AI developers who need to train specialized computer vision models. It supports diverse data types, including images, videos, and medical imaging formats like DICOM or WSI. The platform offers AI-assisted labeling, data management, and workflow orchestration tools to help companies, clinics, and research labs create high-quality training data for building sophisticated AI solutions. It is especially useful for managing complex review processes and real-time collaboration between multiple teams of annotators, engineers, and domain experts. V7 Darwin integrates with popular ML frameworks and infrastructure and maintains high security and compliance standards (SOC 2, HIPAA), which makes it suitable for industries such as healthcare, retail, security, and manufacturing. Reviewers say compared to Appen, V7 Darwin is: - Better at support - Easier to do business with - Better at meeting requirements Categories in common with Appen: [Data Labeling](https://www.g2.com/categories/data-labeling) **Compare:** [Appen vs V7 Darwin](https://www.g2.com/compare/appen-vs-v7-darwin) **Compare V7 Darwin with other alternatives:** - [V7 Darwin vs SuperAnnotate](https://www.g2.com/compare/superannotate-vs-v7-darwin) - [V7 Darwin vs Amazon Sagemaker Ground Truth](https://www.g2.com/compare/amazon-sagemaker-ground-truth-vs-v7-darwin) - [V7 Darwin vs Prolific](https://www.g2.com/compare/prolific-vs-v7-darwin) - [V7 Darwin vs AWS Glue](https://www.g2.com/compare/aws-glue-vs-v7-darwin) - [V7 Darwin vs Labelbox](https://www.g2.com/compare/labelbox-vs-v7-darwin) - [V7 Darwin vs Roboflow](https://www.g2.com/compare/roboflow-vs-v7-darwin) - [V7 Darwin vs Dataloop](https://www.g2.com/compare/dataloop-dataloop-vs-v7-darwin) - [V7 Darwin vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/servicenow-workflow-data-fabric-vs-v7-darwin) - [V7 Darwin vs Cloudera](https://www.g2.com/compare/cloudera-vs-v7-darwin) ### 5. [AWS Glue](https://www.g2.com/products/aws-glue/reviews) By Amazon Web Services (AWS) **Average Rating:** 4.3/5 **Total Reviews:** 202 AWS Glue is a fully managed extract, transform, and load (ETL) service designed to make it easy for customers to prepare and load their data for analytics. Reviewers say compared to Appen, AWS Glue is: - More expensive - Better at meeting requirements - Easier to do business with Categories in common with Appen: [Machine Learning Data Catalog](https://www.g2.com/categories/machine-learning-data-catalog) **Compare:** [Appen vs AWS Glue](https://www.g2.com/compare/aws-glue-vs-appen) **Compare AWS Glue with other alternatives:** - [AWS Glue vs SuperAnnotate](https://www.g2.com/compare/aws-glue-vs-superannotate) - [AWS Glue vs Amazon Sagemaker Ground Truth](https://www.g2.com/compare/aws-glue-vs-amazon-sagemaker-ground-truth) - [AWS Glue vs Prolific](https://www.g2.com/compare/aws-glue-vs-prolific) - [AWS Glue vs V7 Darwin](https://www.g2.com/compare/aws-glue-vs-v7-darwin) - [AWS Glue vs Labelbox](https://www.g2.com/compare/aws-glue-vs-labelbox) - [AWS Glue vs Roboflow](https://www.g2.com/compare/aws-glue-vs-roboflow) - [AWS Glue vs Dataloop](https://www.g2.com/compare/aws-glue-vs-dataloop-dataloop) - [AWS Glue vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/aws-glue-vs-servicenow-workflow-data-fabric) - [AWS Glue vs Cloudera](https://www.g2.com/compare/aws-glue-vs-cloudera) ### 6. [Labelbox](https://www.g2.com/products/labelbox/reviews) By Labelbox **Average Rating:** 4.5/5 **Total Reviews:** 48 A complete training data platform for AI. Reviewers say compared to Appen, Labelbox is: - More expensive - Better at support - Better at meeting requirements Categories in common with Appen: [Data Labeling](https://www.g2.com/categories/data-labeling) **Compare:** [Appen vs Labelbox](https://www.g2.com/compare/appen-vs-labelbox) **Compare Labelbox with other alternatives:** - [Labelbox vs SuperAnnotate](https://www.g2.com/compare/labelbox-vs-superannotate) - [Labelbox vs Amazon Sagemaker Ground Truth](https://www.g2.com/compare/amazon-sagemaker-ground-truth-vs-labelbox) - [Labelbox vs Prolific](https://www.g2.com/compare/labelbox-vs-prolific) - [Labelbox vs V7 Darwin](https://www.g2.com/compare/labelbox-vs-v7-darwin) - [Labelbox vs AWS Glue](https://www.g2.com/compare/aws-glue-vs-labelbox) - [Labelbox vs Roboflow](https://www.g2.com/compare/labelbox-vs-roboflow) - [Labelbox vs Dataloop](https://www.g2.com/compare/dataloop-dataloop-vs-labelbox) - [Labelbox vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/labelbox-vs-servicenow-workflow-data-fabric) - [Labelbox vs Cloudera](https://www.g2.com/compare/cloudera-vs-labelbox) ### 7. [Roboflow](https://www.g2.com/products/roboflow/reviews) By Roboflow **Average Rating:** 4.7/5 **Total Reviews:** 155 Extract, transform, load for computer vision. Your datasets in every format. Balanced, labeled, versioned. Reviewers say compared to Appen, Roboflow is: - More usable - Better at meeting requirements - Better at support Categories in common with Appen: [Data Labeling](https://www.g2.com/categories/data-labeling) **Compare:** [Appen vs Roboflow](https://www.g2.com/compare/appen-vs-roboflow) **Compare Roboflow with other alternatives:** - [Roboflow vs SuperAnnotate](https://www.g2.com/compare/roboflow-vs-superannotate) - [Roboflow vs Amazon Sagemaker Ground Truth](https://www.g2.com/compare/amazon-sagemaker-ground-truth-vs-roboflow) - [Roboflow vs Prolific](https://www.g2.com/compare/prolific-vs-roboflow) - [Roboflow vs V7 Darwin](https://www.g2.com/compare/roboflow-vs-v7-darwin) - [Roboflow vs AWS Glue](https://www.g2.com/compare/aws-glue-vs-roboflow) - [Roboflow vs Labelbox](https://www.g2.com/compare/labelbox-vs-roboflow) - [Roboflow vs Dataloop](https://www.g2.com/compare/dataloop-dataloop-vs-roboflow) - [Roboflow vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/roboflow-vs-servicenow-workflow-data-fabric) - [Roboflow vs Cloudera](https://www.g2.com/compare/cloudera-vs-roboflow) ### 8. [Dataloop](https://www.g2.com/products/dataloop-dataloop/reviews) By Dataloop **Average Rating:** 4.4/5 **Total Reviews:** 89 An end-to-end cloud-based annotation platform, with embedded tools and automations for producing high-quality datasets more efficiently. Reviewers say compared to Appen, Dataloop is: - More expensive - Better at support - More usable Categories in common with Appen: [Data Labeling](https://www.g2.com/categories/data-labeling) **Compare:** [Appen vs Dataloop](https://www.g2.com/compare/appen-vs-dataloop-dataloop) **Compare Dataloop with other alternatives:** - [Dataloop vs SuperAnnotate](https://www.g2.com/compare/dataloop-dataloop-vs-superannotate) - [Dataloop vs Amazon Sagemaker Ground Truth](https://www.g2.com/compare/amazon-sagemaker-ground-truth-vs-dataloop-dataloop) - [Dataloop vs Prolific](https://www.g2.com/compare/dataloop-dataloop-vs-prolific) - [Dataloop vs V7 Darwin](https://www.g2.com/compare/dataloop-dataloop-vs-v7-darwin) - [Dataloop vs AWS Glue](https://www.g2.com/compare/aws-glue-vs-dataloop-dataloop) - [Dataloop vs Labelbox](https://www.g2.com/compare/dataloop-dataloop-vs-labelbox) - [Dataloop vs Roboflow](https://www.g2.com/compare/dataloop-dataloop-vs-roboflow) - [Dataloop vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/dataloop-dataloop-vs-servicenow-workflow-data-fabric) - [Dataloop vs Cloudera](https://www.g2.com/compare/cloudera-vs-dataloop-dataloop) ### 9. [ServiceNow Workflow Data Fabric](https://www.g2.com/products/servicenow-workflow-data-fabric/reviews) By ServiceNow **Average Rating:** 4.3/5 **Total Reviews:** 153 Unify your approach to hyperautomation with API integration and robotic process automation (RPA), all on a single platform. Automate and connect anything to ServiceNow. Reviewers say compared to Appen, ServiceNow Workflow Data Fabric is: - More expensive - Better at support - Better at meeting requirements Categories in common with Appen: [Machine Learning Data Catalog](https://www.g2.com/categories/machine-learning-data-catalog) **Compare:** [Appen vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/appen-vs-servicenow-workflow-data-fabric) **Compare ServiceNow Workflow Data Fabric with other alternatives:** - [ServiceNow Workflow Data Fabric vs SuperAnnotate](https://www.g2.com/compare/servicenow-workflow-data-fabric-vs-superannotate) - [ServiceNow Workflow Data Fabric vs Amazon Sagemaker Ground Truth](https://www.g2.com/compare/amazon-sagemaker-ground-truth-vs-servicenow-workflow-data-fabric) - [ServiceNow Workflow Data Fabric vs Prolific](https://www.g2.com/compare/prolific-vs-servicenow-workflow-data-fabric) - [ServiceNow Workflow Data Fabric vs V7 Darwin](https://www.g2.com/compare/servicenow-workflow-data-fabric-vs-v7-darwin) - [ServiceNow Workflow Data Fabric vs AWS Glue](https://www.g2.com/compare/aws-glue-vs-servicenow-workflow-data-fabric) - [ServiceNow Workflow Data Fabric vs Labelbox](https://www.g2.com/compare/labelbox-vs-servicenow-workflow-data-fabric) - [ServiceNow Workflow Data Fabric vs Roboflow](https://www.g2.com/compare/roboflow-vs-servicenow-workflow-data-fabric) - [ServiceNow Workflow Data Fabric vs Dataloop](https://www.g2.com/compare/dataloop-dataloop-vs-servicenow-workflow-data-fabric) - [ServiceNow Workflow Data Fabric vs Cloudera](https://www.g2.com/compare/cloudera-vs-servicenow-workflow-data-fabric) ### 10. [Cloudera](https://www.g2.com/products/cloudera/reviews) By Cloudera **Average Rating:** 4.1/5 **Total Reviews:** 136 Cloudera Enterprise Core provides a single Hadoop storage and management platform that natively combines storage, processing and exploration for the enterprise. Reviewers say compared to Appen, Cloudera is: - More expensive - Better at meeting requirements - More usable Categories in common with Appen: [Machine Learning Data Catalog](https://www.g2.com/categories/machine-learning-data-catalog) **Compare:** [Appen vs Cloudera](https://www.g2.com/compare/appen-vs-cloudera) **Compare Cloudera with other alternatives:** - [Cloudera vs SuperAnnotate](https://www.g2.com/compare/cloudera-vs-superannotate) - [Cloudera vs Amazon Sagemaker Ground Truth](https://www.g2.com/compare/amazon-sagemaker-ground-truth-vs-cloudera) - [Cloudera vs Prolific](https://www.g2.com/compare/cloudera-vs-prolific) - [Cloudera vs V7 Darwin](https://www.g2.com/compare/cloudera-vs-v7-darwin) - [Cloudera vs AWS Glue](https://www.g2.com/compare/aws-glue-vs-cloudera) - [Cloudera vs Labelbox](https://www.g2.com/compare/cloudera-vs-labelbox) - [Cloudera vs Roboflow](https://www.g2.com/compare/cloudera-vs-roboflow) - [Cloudera vs Dataloop](https://www.g2.com/compare/cloudera-vs-dataloop-dataloop) - [Cloudera vs ServiceNow Workflow Data Fabric](https://www.g2.com/compare/cloudera-vs-servicenow-workflow-data-fabric) --- ## Appen Alternatives FAQs ### How does Appen compare to SuperAnnotate? According to G2 data, [Appen](https://www.g2.com/products/appen/reviews) has an average rating of 4.2/5 from 35 reviews, whereas [SuperAnnotate](https://www.g2.com/products/superannotate/reviews) holds a significantly higher average rating of 4.8/5 based on 345 reviews. SuperAnnotate leads Appen by 1.3 points in Better at Meeting Requirements (9.5 vs 8.2), 1.3 points in Usability (9.5 vs 8.2), 0.7 points in Ease of Setup (9.4 vs 8.7), 0.3 points in Ease of Admin (9.5 vs 9.2), 1.4 points in Support (9.5 vs 8.1), and 1.2 points in Ease of Doing Business With (9.7 vs 8.5). User sentiment highlights SuperAnnotate's strengths in ease of use (93 mentions), user interface (59 mentions), annotation efficiency (47 mentions), and customer support (32 mentions). Overall, SuperAnnotate offers a more intuitive, efficient, and better-supported platform with stronger project management and quality control features compared to Appen. ### What are the best alternatives to Appen? The best alternatives to Appen in the Machine Learning Data Catalog category are [SuperAnnotate](https://www.g2.com/products/superannotate/reviews) (4.8/5 stars, 345 reviews), [Prolific](https://www.g2.com/products/prolific/reviews) (4.6/5 stars, 237 reviews), and [AWS Glue](https://www.g2.com/products/aws-glue/reviews) (4.3/5 stars, 202 reviews). These alternatives have higher user ratings and significantly larger review counts compared to Appen's 4.2/5 stars from 35 reviews. SuperAnnotate is praised for ease of use, annotation efficiency, collaboration, and advanced AI features. Prolific excels in participant recruitment quality and user-friendly research study management. AWS Glue offers comprehensive serverless ETL capabilities with strong data integration and automation features. ### What features do alternatives offer that Appen does not? Alternatives like SuperAnnotate offer advanced AI-assisted annotation, active learning workflows, and a fully integrated AI Orchestration Engine with features such as the Unified Pipeline Event system and Comparative Querying in Explore, which are not mentioned for Appen. ### Which Machine Learning Data Catalog tools do reviewers recommend instead of Appen? Reviewers recommend [SuperAnnotate](https://www.g2.com/products/superannotate/reviews) as a superior alternative to Appen due to its advanced annotation tools, AI-assisted workflows, and robust collaboration features. Prolific is recommended for high-quality participant recruitment and efficient research study execution. AWS Glue is favored for its scalable, serverless ETL service and seamless integration within the AWS ecosystem. These tools are preferred for their usability, feature richness, and support compared to Appen, especially for users seeking more reliable workflows and advanced data management capabilities. ### Why do users choose SuperAnnotate over Appen? Users choose [SuperAnnotate](https://www.g2.com/products/superannotate/reviews) over Appen primarily for its superior ease of use and intuitive user interface, cited in 93 and 59 reviews respectively. The platform's advanced annotation efficiency and workflow management, mentioned in 47 and 16 reviews, enable faster, more accurate labeling and better project organization. SuperAnnotate's customer support is highly rated with 32 positive mentions, reflecting responsive and helpful service. The initial setup process is also smoother, with 34 reviews praising its ease. Additionally, SuperAnnotate's integrated quality control and collaboration tools enhance team productivity and data consistency. Users appreciate the platform's time-saving AI-assisted labeling features and robust project management capabilities, which contribute to higher annotation quality and efficiency. 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