Question: Can you suggest a solution that enables me to connect and manage my proprietary data from multiple sources?

If you need a way to manage and link your proprietary data from different sources, Airbyte could be a good option. This open-source data integration service can pull data from more than 300 structured and unstructured sources and send it to different destinations. It features a Connector Builder for custom connectors, automated schema evolution and strong security. It can be deployed in different ways and managed with an interface, Python library or Terraform provider, so it's good for big data integration projects and small ones, too.

Another option is Fivetran, an automated data integration service that supports more than 500 sources, including SaaS apps, databases and ERPs. Fivetran has multiple deployment options and ensures data integration security across different environments. It offers automated data integration, real-time analytics and support for major standards. The service is designed to streamline data operations and help organizations make better decisions with complex data integration.

If you want a cloud-based service, Stitch is another option. This ETL tool lets you quickly connect more than 140 sources to a cloud data warehouse without having to write any code. It offers fast data transfer, centralized data and enterprise-grade security. Stitch is designed for data engineers and business analysts, so it should be easier to get access to fresh and reliable data without overloading your IT staff.

Last, Informatica offers a cloud-based, AI-powered data management service that links and manages data across multi-cloud and hybrid environments. It automates data integration tasks with its CLAIRE AI engine, and has industry-specific solutions for many industries. Informatica offers a comprehensive data catalog, integration and governance, so it's a good option for companies that want to modernize their data management and make their data AI-ready.