Modern Semantic Layer & Visual Data Modeling

Bridge the gap between complex relational schemas and intuitive enterprise reporting. Build visual drag-and-drop semantic layers and analytic models, apply automated time intelligence, and empower teams with governed self-service BI tools.

Transform Raw Relational Data into Business-Ready Analytic Models

The Kyubit Semantic Layer empowers data architects and BI analysts to convert complex relational databases into governed, high-speed analytical structures. By abstracting raw SQL schemas into intuitive measures, dimensions, and hierarchies, Kyubit streamlines ad-hoc reporting and dashboard development across the entire organization.

Connect natively to leading data warehouses—including Microsoft SQL Server, PostgreSQL, Oracle, MySQL, MariaDB, and SQLite—and accelerate model deployment using an agile, visual canvas.

Kyubit Visual Semantic Model Designer Interface Canvas

From Raw SQL to Analytics in 3 Simple Steps

Deploy governed enterprise semantic models in minutes without complex coding.

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1. Connect & Profile

Directly link to your relational databases. Live 200-row sample previews ensure fast schema discovery and instant record auditing.

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2. Visually Model

Drag primary to foreign keys, configure fact tables, generate smart date hierarchies, and define custom business metric formats.

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3. Publish & Deliver

Compile production models instantly. Feed self-service analytics, KPI scorecards, OLAP grids, and scheduled executive alerts.

Centralized Single Source of Truth for Enterprise Data

Traditional business intelligence often requires heavy ETL processes, dedicated cube infrastructure, or sprawling SQL views that are difficult to maintain. Kyubit acts as an agile abstraction layer directly above your relational storage.

By defining calculations, relationships, and business definitions centrally in the semantic model, any update is automatically propagated across all downstream dashboards, mobile views, and self-service ad-hoc queries.

  • Zero Data Duplication: Queries read directly from existing relational schemas.
  • Consistent Business Logic: Standardized definitions for KPIs, currencies, and time logic.
  • Self-Service Freedom: Business teams explore data without writing SQL queries.
Kyubit Semantic Data Modeling Pipeline Architecture

Core Data Modeling Capabilities

Design robust analytical schemas with full control over relationships, hierarchies, and updates.

Visual Relational Schema Mapping & Fact Tables

Eliminate manual SQL join errors and ambiguous relationships. Select your primary transaction records to establish central Fact Tables, then drag a Primary Key from any dimension table and drop it directly onto the foreign key in your fact table.

Kyubit instantly compiles the underlying relationship logic, visualizes multi-table schemas, and applies real-time entity color-coding so you can inspect and verify your entire semantic structure effortlessly.

Define Central Fact Tables in Kyubit Semantic Layer
Automated Smart Time Intelligence Dimensions Generation

Automated Time Intelligence & Multi-Level Hierarchies

Temporal reporting is fundamental to decision-making. By simply tagging any DateTime column, Kyubit automatically generates a full-featured date dimension complete with standard calendar groupings and drill paths (Year > Quarter > Month > Day).

In addition to time hierarchies, easily configure custom parent-child drill paths (such as Region > Country > City) using attribute hierarchies and segment continuous numerical attributes using automated Attribute Range Binning for cleaner reporting categorization.

Agile Table Filtering & Rapid Analytics Reality Testing

Accelerate iterative design by running quick analytical reality tests in the earliest stages of model preparation. Using Table Filtering, you can apply custom SQL WHERE conditions (e.g., [OrderDate] > '2026-01-01') directly at the table level to test joins, calculations, and KPI metrics on small, representative slices of data within seconds—without waiting to process millions of historical rows or modifying physical database views.

Once logic and numbers are verified, remove the filters to scale up seamlessly. To preserve high query speed at production scale, designate high-cardinality attributes (such as transaction IDs, customer emails, or audit details) as Dimension Details—keeping aggregation tables lightweight while maintaining full drillthrough granularity.

Agile Table Filtering and Gradual Semantic Model Testing
Scheduled Full Partial and Incremental Model Processing Engine

Flexible Scheduling & Incremental Processing

Keep analytical models synchronized with production data efficiently. Kyubit includes an automated background scheduling engine with support for three flexible update modes:

  • Full Process: Complete rebuild of models during maintenance or off-peak hours.
  • Partial Process: Target specific entities and dimensions for localized updates.
  • Incremental Processing: High-speed ingestion of new and updated transaction records to minimize database load.

Why Choose Kyubit for Semantic Data Modeling?

A modern, lightweight alternative to complex multidimensional cubes and high-cost BI platforms.

Visual vs. Code-Heavy Modeling

Build relationships, measure formats, and hierarchies visually without writing complex DAX formulas, MDX scripts, or YAML configuration files.

No Dedicated SSAS Infrastructure

Eliminate the heavy licensing and server administration of SSAS Tabular instances. Kyubit executes models directly over your relational databases.

On-Premise & Complete Data Privacy

Deploy fully within your own IT infrastructure or private cloud. Sensitive corporate records never leave your secure network perimeter.

Fuel Every Analytic Experience

A centralized semantic layer provides a reliable single source of truth across all business intelligence channels. Connect your compiled models directly to downstream visualization and reporting tools.

Connect Semantic Models to KPI Scorecards

KPIs & Executive Scorecards

Track business health with automated status indicators and threshold monitoring.

Deliver Governed Semantic Layer to Embedded BI

Embedded Analytics

Deliver secure, governed data models to custom enterprise web applications and portals.

Mobile BI and Interactive Analytical Dashboards

Interactive Dashboards

Empower end-users with dynamic drill-down exploration on desktop and mobile displays.

Enterprise Specifications & Governance

Supported Databases Microsoft SQL Server, PostgreSQL, Oracle Database, MySQL, MariaDB, SQLite
Processing Modes Full Rebuild, Partial Entity Process, High-Speed Incremental Processing
Modeling Features Visual Join Mapping, Smart Time Intelligence, Dimension Details, Attribute Range Binning, Ingestion SQL Filters
Security & Governance Kyubit User Authentication with granular Read/Write object permissions and 3 built-in roles: Admin (full system control), Creator (design and modify models/content with permissions), and Visitor (read-only access to published analytics).
Deployment 100% On-Premise (Windows Server / IIS) or Private Cloud (Azure, AWS, Google Cloud VMs). MS SQL Server for internal Kyubit databases.

Frequently Asked Questions

What relational databases are supported by the Kyubit Semantic Layer?

Kyubit connects natively to all major SQL relational data sources, including Microsoft SQL Server, PostgreSQL, Oracle, MySQL, MariaDB, and SQLite. You can connect, profile live records, and model measures and dimensions directly from your database tables.

How is Kyubit's semantic layer different from traditional SSAS cubes?

Kyubit eliminates the steep learning curve, complex MDX scripts, and expensive infrastructure associated with traditional SSAS cubes. Data teams can model relational tables visually on an intuitive diagram canvas and immediately publish models for business consumption without running separate cube servers.

How does Kyubit optimize memory when modeling high-cardinality attributes?

Kyubit features Dimension Details. Non-aggregating attributes (such as order numbers, emails, or notes) can be designated as detail columns. This excludes them from aggregation indexes to preserve speed while keeping them accessible during drillthrough analysis.

Can models be refreshed incrementally?

Yes. The integrated scheduling engine supports Full, Partial, and Incremental Processing modes. Incremental updates pull only new or modified transaction data, significantly reducing processing time and database server overhead.

How does Kyubit's semantic layer integrate with existing BI workflows?

Once compiled, models are published instantly across the Kyubit environment. Business users can build interactive analytical dashboards, execute ad-hoc OLAP analyses, and configure automated report distribution without writing SQL queries.

Start Building Semantic Models Today

Download Kyubit BI Tools with a 30-day full evaluation. Test visual data modeling, automated hierarchies, and relational analytics on your own SQL database.

Download Free Trial or Read the User Manual

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