The BA Insight PostgreSQL Connector for Search integrates PostgreSQL databases with leading enterprise search platforms such as SharePoint, Azure AI Search, Elasticsearch, and others. It securely indexes content and metadata from PostgreSQL, surfacing it through BA Insight’s SmartHub to provide users with unified, integrated search results across multiple enterprise data repositories without requiring direct login to PostgreSQL.
Built on BA Insight’s ConnectivityHub platform, the PostgreSQL Connector for Search honors the security model of the source database, ensuring users see only data they are authorized to access. It supports both full and incremental crawls to keep the search index fresh, synchronized with the latest database changes, and optimized for performance to minimize impact on the source system.
Problems PostgreSQL Connector for Search Solves
Difficulty accessing and searching PostgreSQL data alongside other enterprise content sources due to isolated database content.
Security concerns in exposing sensitive PostgreSQL data during enterprise search integration.
Keeping search indexes continuously up to date with frequent database changes without manual intervention.
Metadata inconsistencies and schema complexities that reduce search relevance and usability.
Benefits PostgreSQL Connector for Search Delivers
Seamless Integration with Leading Search Platforms
Seamless integration with popular search platforms including SharePoint, Azure Cognitive Search, Elasticsearch, and more.
Native Security Model Compliance with PostgreSQL
Honors PostgreSQL’s native security permissions, exposing only authorized data to users.
Up-to-Date Results through Full and Incremental Crawls
Supports full and incremental crawling to maintain current, accurate search results.
High-Performance Indexing with Data Integrity Preservation
High-throughput indexing with pointers referencing original PostgreSQL data, preserving content integrity.
Unified Enterprise Search Across Repositories
Enhances user productivity by enabling unified search across database content and other enterprise repositories.
Enhanced Metadata Quality with Enrichment Tools
Facilitates improved metadata quality and search navigation when used with BA Insight’s metadata enrichment tools.
Key Features of the Jira Connector for Search
Key Features of the Jira Connector for Search
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Comprehensive Content Indexing
Comprehensive Content Indexing
Efficiently indexes PostgreSQL tables, views, and objects, supporting both full and incremental crawls to keep indexes current.
This connector empowers organizations to leverage vast PostgreSQL data effectively within their enterprise search ecosystems, integrating securely and scalably with major platforms like SharePoint, Azure, and Elasticsearch for a unified search experience.
FAQ
FAQ
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Yes, it enforces PostgreSQL’s role-based security permissions to ensure users see only authorized content.
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It supports both full and incremental crawls to keep the search index synchronized with PostgreSQL database changes.
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The connector supports SharePoint Online and On-Premises, Azure AI Search, Elasticsearch, Amazon Kendra, and more.
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No, the connector requires only secure read-only access credentials with no client software installation needed.
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BA Insight’s AutoClassifier and metadata management tools help create consistent, enriched metadata across connected sources to improve findability and faceted navigation.