Question: I'm looking for a solution that integrates fragmented data sources and provides a single source of truth for my organization.

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Informatica

Informatica is a cloud-based AI-infused data management system that can link, govern and unify data across multicloud and hybrid environments. It has a powerful data catalog, data integration and engineering, API and app integration and broad data quality and observability. Informatica's CLAIRE AI engine automates data integration work, so it's a good choice for companies trying to move to more modern data management.

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Fivetran

Fivetran automates data integration from more than 500 sources, including SaaS apps, databases, ERPs and other sources. With deployment options from fully-managed SaaS to hybrid and self-hosted options, Fivetran offers secure data integration across on-premise, cloud and hybrid environments. It supports real-time analytics and compliance with major standards, streamlining data operations and helping organizations make better decisions when they have complex data integration needs.

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Cloudera

Cloudera offers a hybrid data platform that securely ingests, processes and analyzes data across cloud and on-premise environments. It can consolidate vast data sources into a single trusted system for insights and AI model training. Cloudera's platform offers real-time insights, automated data pipelines and large-scale data analytics, making it a good option for industries like financial services, manufacturing and healthcare.

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Collibra

For a broader data intelligence platform, check out Collibra, which offers AI Governance, Data Catalog, Data Governance and Data Quality & Observability. Collibra automates data processes, reduces manual work and offers a unified view of data assets across the organization. It can be used for data analytics and AI model development, and its scalability and flexibility make it a good option for many business needs.

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