Amazon Aurora Connector for Search
Amazon Aurora Connector for Search
The BA Insight Amazon Aurora Connector for Search integrates Amazon Aurora’s high-performance, cloud-native relational database with enterprise search platforms like SharePoint, Azure AI Search, Elasticsearch, and more. It enables secure, efficient indexing and searching of Aurora database content without requiring direct database login, delivering fast, relevant, and up-to-date search results across your enterprise data landscape.
Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database designed for the cloud, combining the performance and availability of commercial-grade databases with the simplicity and cost-effectiveness of open-source solutions. Aurora offers up to five times the speed of standard MySQL and three times the speed of standard PostgreSQL databases, along with features like distributed, fault-tolerant, self-healing storage that auto-scales up to 64TB, low-latency read replicas, continuous backups, and multi-AZ replication.
The BA Insight Amazon Aurora Connector for Search leverages industry-standard database access methods to securely connect and index Aurora content. It supports full and incremental crawls to ensure search indexes remain fresh and synchronized with database updates. The connector honors the security model of the source database, ensuring users only see data they are authorized to access. Additionally, it supports other databases such as Oracle, MySQL, and IBM DB2, providing flexibility across enterprise environments.
Problems Amazon Aurora Connector for Search Solves
Difficulty searching and accessing data stored in Amazon Aurora without direct database queries or logins.
Fragmented search experiences when database content is isolated from other enterprise information systems.
Security concerns about exposing sensitive database content during integration with search platforms.
Maintaining up-to-date search indexes that reflect the latest database changes without manual intervention.
Benefits Amazon Aurora for Search Delivers
Seamless Integration
Seamless integration with major enterprise search platforms including SharePoint, Azure AI Search, Elasticsearch, and others.
Permissioned Secure Search
Honors source database security, ensuring search results are filtered according to user permissions.
Unified Enterprise Search
Improves user productivity by enabling unified search across database content and other enterprise data repositories.
Database Compatibility
Built on industry-standard database access methods, enabling compatibility with Aurora and other relational databases like Oracle, MySQL, and IBM DB2.
Smart Crawl Support
Supports both full and incremental crawls to keep search indexes current and efficient.
Key Features of the Amazon Aurora Connector for Search
Key Features of the Amazon Aurora Connector for Search
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Industry-Standard Database Access
Industry-Standard Database Access
Built on standard database access methods, the connector supports Amazon Aurora as well as other relational databases such as Oracle, MySQL, and IBM DB2, providing broad compatibility.
FAQ
FAQ
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Yes, it honors the security of the source database, ensuring users only access data they are permitted to access.
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It supports full and incremental crawls, capturing changes efficiently to maintain fresh search indexes.
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While designed for Amazon Aurora, it also supports Oracle, MySQL, IBM DB2, and other relational databases using standard access methods.
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Aurora is up to five times faster than standard MySQL and three times faster than standard PostgreSQL databases, with features like auto-scaling storage, read replicas, and continuous backups.
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No additional software installation is required; the connector uses secure, standard database access protocols.