Unique Features for a Whole New Grip on Your Data & Decision Making
Contextual Information Drill Down
It starts with a Semantic Search but then the User contextually "Drills" the Data further "Down" through Query & Analytics.
Information Linking Across Sources
Behind the Scenes Data are Linked Automatically on an Information/Object Level.
Contextual Analytics & "Dynamic Cubing"
Embedded and Ad-Hoc Analytics are Asked on the Currently Executes Search/Query.
Seamless between Worlds
Bridge between Structured and Unstructured Data not by NLP Search Based Linking but through Automatic Relation Extraction (ARE).
Dynamic Schema Management (NoSQL)
Publish Data and Use Contextual and Precise Queries, Joins & Aggregates (Analytics) Instantly.
Contextual Data Staging
Simultaneous Data Access by Data Architects, Developers and Users During Deployment.
Query and Analytics Capabilities which are Automatically Derived from Structural Data Characteristics
(Precise & Probabilistic).
The Distributed In-Memory Cluster runs on a Redundant Array of Inexpensive Nodes (RAIN). Use the Cloud or run it In-House.
Trusted (Structured) and Probabilistic (Unstructured) Data Sources are Managed in Information Layers.
Unlocking the Semantics
The System Unlocks and Retains the Semantics (The Meaning) Existing but Locked in Your Data.
This Enables Deployments in Weeks instead of Month.