[ Shaip C... Reviews ](https://www.g2.com/products/shaip-cloud/reviews) [ Shaip C... Reviews ](https://www.g2.com/products/shaip-cloud/reviews) # Shaip Cloud Features ##### ## Data Governance (4) User Access Management Allows administrators to assign role-based user access for specific data sets Dynamic Data Masking Hides and masks sensitive data automatically based on user permissions Data Lineage Provides historical insights into original data sources and transformations made to data sets Workflow Management Create, design and manage workflows for repetitive tasks Show More ##### ## Data Preparation (4) Search Offers simple search capabilities to discover specific data sets Data Quality and Cleansing Allows users and administrators to easily clean data to maintain quality and integrity Data Transformation Converts data formats of source data into the format required for the reporting system without mistakes Data Modeling Tools to (re)structure data in a manner that allows extracting insights quickly and accurately Show More ##### ## Collaboration (7) Commenting Allows users to comment on data sets to help future users better interact and interpret the data Profiling and Classification Permits profiling of data sets for increased organization, both by users and machine learning Business and Data Glossary Creates a business glossary for faster understanding by the average business user Metadata Management Indexes metadata descriptions for easier searching and enhanced insights Master Data Management Verify, organize, manage & store enterprise data assets in a centralized repository Data Storage Management Manage and store data in a database Data Management Ability to handle large datasets Show More ##### ## Artificial Intelligence (3) Machine Learning Recommendations Automates recommendations for users based on machine learning functionality Natural Language Query Offers natural language querying functionality for non-technical users Automatic Data Cleansing Cleans data to improve quality via automation Show More ##### ## Compliance (2) GDPR compliant Meets GDPR requirements for pseudonymisation under the Data Protection by Design and by Default requirements. CCPA compliant Meets de-identification requirements under the CCPA. Show More ##### ## Functionality (3) Static pseudonymization Offers traditional static de-identification (also known as consistent replacement), where the pseudonymized data uses the same pseudonyms across multiple data sets. For example, John Smith is replaced with Robert Fox and the Robert Fox name is used multiple times. This type of pseudonymization carries some risks of re-identification if paired with enough datasets. Dynamic pseudonymization Offers dynamic de-identification (also known as random replacement), where the pseudonymized data uses different pseudonyms across multiple data sets. For example, John Smith is replaced with Robert Fox once, and then the next time the data is used the name changes to Michael Jones. This type of pseudonymization carries lesser risk of re-identification if paired with many datasets. Batch de-identification Offers methods to de-identify large volumes of data using batch files. Show More ##### ## Connectivity (2) Mobile SDK Connects to mobile platforms using a mobile SDK. Web services APIs Offers APIs to connect products. Show More ##### ## Quality (4) Labeler Quality Gives user a metric to determine the quality of data labelers, based on consistency scores, domain knowledge, dynamic ground truth, and more. Task Quality Ensures that labeling tasks are accurate through consensus, review, anomaly detection, and more. Data Quality Ensures the data is of a high quality as compared to benchmark. Human-in-the-Loop Gives user the ability to review and edit labels. Show More ##### ## Automation (2) Machine Learning Pre-Labeling Uses models to predict the correct label for a given input (image, video, audio, text, etc.). Automatic Routing of Labeling Automatically route input to the optimal labeler or labeling service based on predicted speed and cost. Show More ##### ## Image Annotation (4) Image Segmentation Has the ability to place imaginary boxes or polygons around objects or pixels in an image. Object Detection has the ability to detect objects within images. Object Tracking Track unique object IDs across multiple video frames Data Types Supports a range of different types of images (satelite, thermal cameras, etc.) Show More ##### ## Natural Language Annotation (3) Named Entity Recognition Gives user the ability to extract entities from text (such as locations and names). Sentiment Detection Gives user the ability to tag text based on its sentiment. OCR Gives user the ability to label and verify text data in an image. Show More ##### ## Speech Annotation (2) Transcription Allows the user to transcribe audio. Emotion Recognition Gives user the ability to label emotions in recorded audio. Show More ##### ## Generative AI (3) AI Text Generation Allows users to generate text based on a text prompt. AI Text Summarization Condenses long documents or text into a brief summary. Generative AI Use AI to generate content in the form of text, images, videos, etc. Show More ##### ## Agentic AI - Machine Learning Data Catalog (6) Autonomous Task Execution Capability to perform complex tasks without constant human input Multi-step Planning Ability to break down and plan multi-step processes Cross-system Integration Works across multiple software systems or databases Adaptive Learning Improves performance based on feedback and experience Decision Making Makes informed choices based on available data and objectives Third-Party Integrations Set up connections to third-party platforms to improve business processes Show More ##### ## Additional Functionality (27) Metadata Extraction Retrieval of embedded metadata that is present within a file Automatic Backup Data is backed up automatically to prevent data loss Search/Filter Search and filter data across systems to locate required information by entering keywords or certain criteria Collaboration Tools Provides a channel for team members to share media files, communicate, and work together Activity Tracking Track and document all activities across devices, networks, and other systems Authentication Verify the identity of users/devices to enable secure access Data Security Protect sensitive data for digital privacy Data Mapping Track the management and flow of data throughout the organization Archiving & Retention Moving and separately storing data that is not actively used or continuous storage of data for compliance purposes Data Discovery Discover and connect variety of data sources to the application for analysis Data Catalog An organized inventory of all data assets Multiple Data Sources Allows users to manage data from a number of sources Categorization/Grouping Organize and group data or items based on various criteria AI Copilot A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users Reporting/Analytics View and track pertinent metrics to find patterns and gain insights from data Tagging Attach digital tags to documents and assets for identification, search, or monitoring purposes Drag & Drop Assemble applications and processes by dragging over and arranging pre-built components Activity Dashboard Dashboard to view the status of ongoing processes, identify current incidents and track past activities Role-Based Permissions Set & manage permission levels based on user roles and restrict access to only authorized individuals Single Sign On Allow users to access multiple services after entering their login credentials once Data Governance Collection of processes, policies, and standards to manage the storage & usability of enterprise data Content Library Centralized repository to store content and assets Data Synchronization Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency Data Import/Export Import and export data to and from software applications Access Controls/Permissions Define levels of authorization for access to specific files or systems Data Visualization Graphical representation of data API Application programming interface that allows for integration with other systems/databases Show More ## Top-Rated Alternatives [ ![SuperAnnotate](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_9a85895001c537f0499ee1e5f9f9cb2d/superannotate.png "SuperAnnotate") SuperAnnotate 4.8/5(381) ](https://www.g2.com/products/superannotate/reviews) [ ![Prolific](https://images.g2crowd.com/uploads/product/hd_favicon/2f644eeeb79899fe3057220eb4880efa/prolific.svg "Prolific") Prolific 4.6/5(238) ](https://www.g2.com/products/prolific/reviews) [ ![AWS Glue](https://images.g2crowd.com/uploads/product/hd_favicon/1528476465/aws-glue.svg "AWS Glue") AWS Glue 4.3/5(202) ](https://www.g2.com/products/aws-glue/reviews) [ View All Alternatives ](https://www.g2.com/products/shaip-cloud/competitors/alternatives) ##### Categories on G2 [ Machine Learning Data Catalog ](https://www.g2.com/categories/machine-learning-data-catalog)[ Data Labeling ](https://www.g2.com/categories/data-labeling)[ Data De-Identification ](https://www.g2.com/categories/data-de-identification) ##### Explore More [ Best analytics platform for startup data needs ](https://www.g2.com/discussions/best-analytics-platform-for-startup-data-needs)[ Best platforms for onboarding SaaS customers ](https://www.g2.com/discussions/top-platforms-for-onboarding-saas-customers)[ What retail media advertising platforms work best for brands also selling on Walmart and Target rather than just Amazon, when you need one tool across multiple retailers? 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