ConnectivityHub is our highly scalable, purpose-built platform upon which we build ingestion connectors for business and enterprise systems to Elasticsearch, Elastic Cloud, Elastic Cloud Enterprise, and Amazon Elasticsearch. It is also used by our customers to develop their own connectors.

ConnectivityHub provides the following core capabilities:

  • Out-of-the-box connectors that connect to content repositories, applications, and databases
  • The ability to easily create custom connectors via an SDK
  • Secure, high performance crawling and indexing
  • Management of sophisticated security scenarios
  • Mapping of security entitlements within source systems into search
  • Security trimming to expose only content to which the user has been granted access
  • Scheduling features for incremental ingestion / crawling / indexing
  • Can leverage any metadata from source systems
  • Integration with our AutoClassifier to automatically meta-tag content at index time for improved findability and filtering
  • Ingestion / crawling of content from many systems into a “Single Index” which gives users transparent access to all needed enterprise content, regardless of where or how it is physically stored
  • Delivery of a single unified search result, with consistent filtering of results through SmartHub

Future-proof your investment, regardless of the search engine or version you are using. BAI’s SmartHub integrates with multiple search engines, giving you the freedom to combine or choose the option(s) that best meets your needs. You can even switch search engines at any point with the confidence that you will still be able to crawl and index your enterprise-wide content.

We will build new connectors as requested, so if you don’t see one on the list, please contact us at sales@BAinsight.com.

Key Capabilities:

 Smart Security Mapping

provides powerful security integration across the heterogeneous security schemes used by different source systems. ‘Early binding’ security makes it possible to deliver secure, high-performance search solutions. AD-based systems benefit from automatic AD group binding; non-AD systems benefit from advanced security mapping that goes beyond the claims-based security of native search platforms.

 Easy Administration

Automatic metadata configuration and an integrated Test Bench make it possible to rapidly deploy, configure, and test connectivity. Once deployed, crawling is monitored and managed through ConnectivityHub’s management tools. Scheduled jobs for common tasks such as security sync, backups, and mailbox management enable straightforward administration.

Advanced Configuration

through connections, content sources, items, and metadata can be configured and extended to customize the content and tailor how search fields are populated.  Custom scripting, using familiar Visual Basic syntax, can be applied to security, crawling, and metadata to handle even the most demanding applications.

Universal SQL Connector Toolkit

supports secure indexing for any SQL-based source system with the flexibility to tailor the way database content is composed and transformed into indexed items. Swift, wizard-driven creation of custom connectors for sources enables development of new, fully secure connectors on demand, with the flexibility to tailor content handling and metadata mapping.

 Web Services Connectors

integrate securely with complex business systems with proprietary APIs without installing software on production systems.

 Targets

deliver content from a source repository to other locations, to support a broad range of scenarios beyond indexing for search.  Custom Targets, fileshare Targets, and database Targets can also be created on demand.

 Smart Metadata Mapping

automatically maps metadata and provides dataset lookup to external sources in order to augment and normalize fields; a flexible metadata mapping facility; and a scripting capability that enables the manipulation of metadata fields. Associated crawls add supplementary information as content is indexed. For example, a fileshare may have an associated database holding metadata; both the file and the metadata are indexed as a single item using an associated crawl.