ChangoAgentic Data Platform
An agentic data platform built on an Iceberg-native lakehouse foundation.
Chango Key Features
A self-hosted AI data platform where agents and data live in the same system.
Iceberg-Native Lakehouse
Apache Iceberg is the first-class storage model: Spark, Trino and Flink share one Polaris catalog, and data stays in an open format with no engine or vendor lock-in.
One Control Plane
Object storage, streaming, batch and SQL, OLTP and vector, workflows and agents are installed, configured, scaled and observed through topology and metrics from one console.
AI Agents and Retrieval
An agent runtime, a semantic layer and MCP servers ship as built-in components, with vector, full-text and graph retrieval inside the same platform.
Unified IAM and Single Sign-On
One IAM policy model governs Trino, Spark, Flink and the platform. OIDC, SAML 2.0 and LDAP groups map to platform groups, so your existing identity provider stays the source.
Engine-Integrated Lineage and Audit
The authorization layer records every Trino, Spark and Flink table access, allowed or denied with the reason, and links successful writes into a lineage graph.
CDC with Kafka Connect
Kafka clusters come with Kafka Connect. Install the bundled Debezium connectors or upload your own connector plugins from the console.
Encryption and Secret Protection
KMS envelope encryption with online master key rotation. Corporate CA certificates are validated and applied from the console, and secrets are never returned in read responses.
S3 Backup and Restore
Back up the control plane and the Iceberg catalog metastore (PostgreSQL) to S3-compatible storage on a cron schedule, with retention and restore from the console.
Air-Gapped Delivery and Patching
Install from a single bundle with no external repository access, shipped with checksums and a CycloneDX SBOM. Patches show their manifest first, apply per host and can be rolled back.
High Availability and Scale-Out
Multiple masters replicate metadata under leader election to keep operating through failures, and nodes and components scale out from the console.
Use Cases
AI-Native Analytics
Business users ask in natural language; agents reach the data engine through the Ontul semantic layer and MCP, returning answers from certified metric definitions under the operator's IAM.
Retrieval-Augmented Applications
Vector, full-text, and graph relationships in one engine power production RAG and hybrid retrieval — no external vector DB to operate.
Sovereign Data Platform
Run the entire AI data stack on-prem or in your own cloud account — nothing leaves your perimeter.
Multi-Tenant Engine Mesh
Spark, Trino, Flink, and Kafka share infrastructure under one identity and resource-group control, with tenant data kept isolated.
The data platform for the agentic era
Agentic. Sovereign. One Control Plane.
Agents, MCP, vector & graph, engines, and storage — one self-hosted platform.