Best Data Discovery Software for Amazon

Bold BI by Syncfusion is an AI-powered embedded analytics platform for SaaS companies and software vendors. Product teams add white-labeled, multi-tenant dashboards to their own apps using native SDKs for React, Angular, Vue, .NET, and Blazor, with row-level security and single sign-on. Business users can also build their own dashboards with self-service, drag-and-drop tools. Bold BI has 140+ data connectors, an AI Copilot that turns plain-English requests into charts, and an AI Agent that answers follow-up questions. Pricing is per application, not per user or viewer, by custom quote. Run it in the cloud, in a managed private cloud, or on your own servers, including Docker, Kubernetes, and air-gapped setups. A 30-day free trial is available with no credit card required.

Teleskope is an innovative platform for data protection that aims to streamline the processes of data security, privacy, and compliance on a large scale within enterprises. It works by consistently discovering and cataloging data from a variety of sources, including cloud services, SaaS applications, structured datasets, and unstructured information, while accurately classifying more than 150 types of entities such as personally identifiable information (PII), protected health information (PHI), payment card industry data (PCI), and secrets with remarkable precision and efficiency. After identifying sensitive data, Teleskope facilitates automated remediation processes, which include redaction, masking, encryption, deletion, and access adjustments, all while seamlessly integrating into developer workflows through its API-first approach and offering deployment options as SaaS, managed services, or self-hosted solutions. Furthermore, the platform incorporates preventative measures, integrating within software development life cycle (SDLC) pipelines to prevent sensitive data from being introduced into production environments, ensure safe adoption of AI technologies without utilizing unverified sensitive information, manage data subject rights requests (DSARs), and align its findings with regulatory standards such as GDPR, CPRA, PCI-DSS, ISO, NIST, and CIS. This comprehensive approach to data protection not only enhances security but also fosters a culture of compliance and accountability within organizations.