Today we're excited to announce that Kyomi now supports 9 data platforms, making it the most versatile AI analytics tool for self-service data access.
The Problem We're Solving
Modern organizations don't use just one data platform. Your company might have:
- BigQuery for your analytics warehouse
- PostgreSQL for your application database
- Snowflake for your enterprise data lake
- ClickHouse for real-time analytics
Before today, getting insights meant switching between different tools, learning different SQL dialects, and maintaining separate dashboards for each platform.
No more.
One Interface, Any Data Platform
With Kyomi's multi-datasource support, you can now:
1. Query Any Platform with Natural Language
Ask "Show me revenue by region for last quarter" and Kyomi automatically:
- Identifies which datasource has your sales data
- Writes the correct SQL dialect (BigQuery SQL, PostgreSQL, Snowflake SQL, etc.)
- Returns visualizations in the same familiar format
2. Build Cross-Platform Dashboards
Create a single dashboard that pulls from multiple datasources:
- Widget 1: Customer metrics from PostgreSQL
- Widget 2: Revenue analytics from BigQuery
- Widget 3: Real-time events from ClickHouse
All updating together, all in one place.
3. Use the Same AI Everywhere
The AI learns your business context once and applies it across all platforms:
- Define "revenue" in your workspace knowledge
- That definition works whether you're querying BigQuery or Snowflake
- No re-teaching, no inconsistencies
Supported Platforms
We're launching with support for 9 data platforms:
Cloud Data Warehouses
- Google BigQuery (OAuth)
- Snowflake (Username/Password or OAuth)
- Amazon Redshift (Username/Password)
- Azure Synapse (SQL Auth, Service Principal, or OAuth)
- Databricks (Access Token or OAuth)
Relational Databases
- PostgreSQL (Username/Password, SSH Tunnel)
- MySQL (Username/Password, SSH Tunnel)
- SQL Server (Username/Password)
Analytics Databases
- ClickHouse (Username/Password)
Enterprise-Ready Security
We've built multi-datasource support with enterprise security in mind:
Credential Security
- All credentials encrypted with AES-256-GCM at rest
- TLS 1.3 for all connections
- OAuth where supported (BigQuery, Databricks)
- SSH tunnel support for on-premise databases
Access Control
- Shared credentials for team-wide access
- Personal credentials for individual audit trails
- Admin-controlled datasource configuration
Same Privacy Principles
- Your data stays in your warehouse
- We store only table/column metadata for search
- 20-row samples for AI analysis only
Getting Started
Already a Kyomi user? Multi-datasource is available now:
- Go to Settings → Datasources
- Click Add Datasource
- Select your platform and enter credentials
- Start querying!
New to Kyomi? Get started free →
Have a datasource you'd like us to support? Let us know →
Try multi-datasource support today at app.kyomi.ai