Chango Key Features
Discover the core features of the Iceberg-based Data Lakehouse Platform.
Unified Data Lakehouse Platform
A unified data lakehouse platform supporting Spark, Trino, Kafka engines with Iceberg table format.
Chango REST Catalog
Security-first data catalog with RBAC. Automated table management including compaction, snapshot expiration, and metadata cleanup.
RBAC (Role-Based Access Control)
Fine-grained data access control at catalog, schema, and table levels.
Data Ingestion
SQL procedures for file imports (CSV, JSON, Parquet, ORC), streaming ingestion via Chango Log, and CDC via Chango CDC.
Iceberg Table Optimization
Automated table compaction, snapshot expiration, manifest rewriting, and orphan file cleanup.
Trino Gateway
High availability coordination across Trino clusters. Ensures seamless query execution.
Query Execution & Audit
ETL query execution via Chango Query Exec. Query tracking stored in Iceberg tables.
MCP Server
LLM agent integration using standardized protocol. RBAC-based data access.
BI Tool Integration
Data querying and visualization through Superset, DBeaver, DataGrip, and other BI tools.
Use Cases
Unified Data Analytics
Run batch and real-time analytics with Spark, Trino, and Kafka on a single platform.
Real-Time Data Ingestion
Ingest streaming and CDC data into Iceberg tables in real-time via Chango Log and CDC.
ETL Automation
Automate batch ETL pipelines with Azkaban workflows and SQL procedures.
AI Data Foundation
Enable LLM agents to access data with RBAC via MCP Server.
Considering Chango for your data platform?
Iceberg-based. Unified. Lakehouse.
Revolutionize your data infrastructure with an Iceberg-based Data Lakehouse Platform.