Chango Key Features
Discover the core features of the Iceberg-based AI Data Lakehouse Platform.
Unified Data Lakehouse Platform
A unified data lakehouse platform supporting Spark, Trino, Kafka engines and Iceberg table format.
Chango Applications
Data querying via BI tools like Superset and DBeaver, ETL job execution via Azkaban workflow engine, real-time ingestion and analytics, batch loading and analysis via SQL, data transformation, and AI integration via MCP server.
Iceberg Table Optimization
RBAC for table access control, automated Iceberg table management, and distributed lock support for safe commits.
RBAC (Role-Based Access Control)
Fine-grained data access control at catalog, schema, and table levels.
Chango REST Catalog
Security-first data catalog with RBAC. Provides automated table management including compaction, snapshot expiration, and metadata cleanup.
Data Ingestion
SQL procedures for external file import (CSV, JSON, Parquet, ORC), streaming ingestion via Chango Log, and CDC data ingestion via Chango CDC.
Trino Gateway
High-availability orchestration across Trino clusters. Ensures uninterrupted query execution.
Query Execution & Auditing
ETL query execution via Chango Query Exec. Query tracking stored in Iceberg tables.
MCP Server
LLM agent integration using standardized protocols. RBAC-based data access.
Considering Chango for your data platform?
Revolutionize your data infrastructure with an Iceberg-based AI Data Lakehouse Platform.