IkyaData - All Your Answers. When You Need Them.

How IKYAdata Works

A simple, structured workflow that unifies your data without moving it.

Add Snowflake, PostgreSQL, SQL Server, S3, RDF files, APIs, and more — no restructuring or pipelines required.

Define your domain once using a lightweight, RDF-based semantic schema: classes, properties, identifiers, relationships, and constraints.

Map tables to semantic classes and fields to properties through an intuitive visual alignment interface.

Run one unified query model across all connected systems. IKYAdata routes and resolves queries automatically.

Your semantic model becomes a domain-aware knowledge graph that grounds LLMs in real enterprise meaning — not guesses.

Define the true vocabulary of your business - not just tables or columns.

Classes, properties, relationships, and constraints live in one shared model.

Easily align real-world data sources to the reference model without engineering complexity.

Even mismatched schemas become consistent.

Finally: one question, one answer.

Query Snowflake, Postgres, S3, APIs, and more using a single semantic model. Behind the scenes, IKYAdata handles source routing and semantic joins.

Your semantic layer automatically becomes a knowledge graph that:

This transforms AI from a risk into a reliable asset.

Blend all sources into a logical data layer.

Your data stays in place — but your insights don’t.

Role-based access down to the semantic element.

Permissions are based on meaning, not table names.

Step 1: Create a Workspace

A workspace stores all sources, models, alignments, relationships, and queries.
Step 2: Add Data Sources

Connect Snowflake, PostgreSQL, Redshift, BigQuery, CSVs, or RDF files.
IKYAdata automatically discovers items and metadata.
Step 3: Build the Reference Schema

Define classes, properties, identifiers, relationships — your enterprise’s universal language.
Step 4: Align Items
- Map tables → classes E.g.:
- PERSON_DEMOGRAPHICS → Person
- WEBSITE_VISITS → WebsiteVisit
Step 5: Map Fields
- Fields → semantic properties E.g.:
- YOUR_ADDRESS_MD5 → Person.hasAddress
- WEBSITE_ID → Website.identifier
Step 6: Ask Questions in One Query Model

IKYAdata executes semantic joins across sources and returns a unified, consistent answer.