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Use of graph data structures, a cutting-edge technology that has proven to be incredibly efficient at handling complex networks of relationships and swiftly dealing with deep and complex queries
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A specific close to natural language dialect that is much simpler than SQL to make search a breeze even for untrained users
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Integration with major data sources and systems: Enterprise Data Lake, Slack, Zoom, Atlassian Stack (Confluence, Jira), Office 365, Active Directory, SAP, Microsoft Exchange, etc.
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The Report Builder feature that allows business users to create complex reports through querying multiple data sources at the same time and share them
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The Hashtag Autocomplete functionality to facilitate effective search among a massive volume of data
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The Hashtag Search feature that suggests the most relevant hashtags to users to simplify digging through search results
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An internal communication function enabling
employees to send messages to various communication channels directly from the system
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A simple API which allows for even faster data collection and gives the opportunity to build custom apps and integrate internal systems
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Role-based security in graph databases to ensure sensitive data protection by limiting access to resources in the graph based on a user’s role
