The BA Insight OpenText Documentum Connector for Search integrates OpenText Documentum, an enterprise content management platform, with leading enterprise search engines like SharePoint, Azure AI Search, and Elasticsearch. It securely indexes the full text and metadata of Documentum objects into these search platforms, enabling a unified, searchable result set across multiple repositories without requiring direct login to Documentum.
Leveraging the BA Insight connector framework, the Documentum Connector provides secure, high-throughput indexing while minimizing crawl times and maintaining a low performance impact on Documentum systems. It requires read-only access and no client installation on Documentum servers, allowing seamless and simultaneous access to all Documentum content.
Problems OpenText Documentum Connector for Search Solves
Fragmented access to Documentum content when siloed separately from other enterprise repositories.
Difficulty in maintaining a consolidated, unified search index across Documentum and other content sources.
Complex security scenarios and concerns around exposing sensitive Documentum-managed content.
Need for efficient and scalable crawling that respects Documentum’s advanced role-based and attribute-based security models.
Benefits OpenText Documentum Connector for Search Delivers
Secure Indexing of Full Text and Metadata
Securely indexes both full text and metadata from Documentum into major search platforms including SharePoint, Azure AI Search, and Elasticsearch.
Advanced Security Trimming for Authorized Access
Supports advanced security trimming based on Documentum’s richer security model, ensuring users see only authorized content.
Unified Search Across Documentum, SharePoint, and More
Enables a single, consolidated search index referencing Documentum content alongside SharePoint and other repositories, enhancing search relevance and faceted navigation.
Harmonized Metadata with Content Classification Tools
Employs BA Insight’s Content Classification tools for harmonized metadata, improving findability and consistent navigation.
Simplified Administration with Integrated Test Bench
Easy administration with integrated test bench for configuration, diagnostics, and scheduled tasks, reducing operational effort.
Key Features of the OpenText Documentum Connector for Search
Key Features of the OpenText Documentum Connector for Search
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Comprehensive Content Indexing
Comprehensive Content Indexing
Efficiently indexes Documentum content and metadata with support for full and incremental indexing to keep search results current and precise.
This connector empowers organizations to unlock the full potential of Documentum content within their enterprise search ecosystem, enabling secure, scalable, and unified search experiences across SharePoint, Azure, Elasticsearch, and beyond.
FAQ
FAQ
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Yes, it enforces advanced Documentum security models including role-based and attribute-based permissions, ensuring users only access authorized content.
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It supports both full and incremental crawls with configurable schedules and filters, keeping the search index synchronized with Documentum content changes.
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The connector supports SharePoint Online and On-Premise, Azure AI Search, Elasticsearch, Amazon Kendra, Solr, and more.
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No, the connector only requires read-only access and does not require any client software to be installed on Documentum servers.
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BA Insight’s Content Classification Software is used to create consistent and enriched metadata across Documentum and connected sources, improving findability and navigation.