Apache CarbonData
non-cncf
First Research Pass
Content Lifecycle & Evolution State
1
Initial Seed
Metadata Loaded
2
First Research
Automated Gathering
3
Tech Writing
Content Structured
4
Approval
Editorial Verified
First Research Pass Completed: Initial facts, key features, and documentation links have been gathered. Detailed technical writing and synthesis are currently in queue.
Overview
An indexed columnar data format for fast analytics on big data platforms, optimized for multi-dimensional point lookups and aggregations.
Key Features
Multi-level indexing (min/max, inverted index, B-tree) for rapid point queries.
Columnar storage with advanced encoding and compression.
Integration with Spark, Presto, and Hive.
Support for ACID transactions and lakehouse mutations.
Use Cases
Interactive analytics on massive datasets mixing full table scans and single-record filters.
Getting Started
Include `carbondata-spark` dependency and write DataFrames using `.write.format('carbondata')`.
Recent Updates
Enhanced secondary index support and Spark 3.x compatibility.
Did You Know?
Apache CarbonData is widely utilized across the cloud native and open source ecosystem.