Apache CarbonData
FundedIndexed columnar data format for fast big data analytics
About Apache CarbonData
Apache CarbonData is an advanced indexed columnar data format designed to accelerate analytical queries on large-scale data platforms such as Apache Hadoop and Apache Spark. It optimizes data storage and retrieval by organizing data in columnar format with multi-level indexing, enabling significantly faster filtering, compression, and query processing. CarbonData supports essential big data operations including update and delete, which are typically challenging in large distributed environments.
Targeted primarily at enterprises managing petabytes of data, CarbonData integrates seamlessly with big data ecosystems, providing deep Spark integration with DataFrame and SQL compliance. Its advanced pushdown optimization reduces data movement and processing overhead, enhancing overall query performance. As a top-level Apache Software Foundation project, it offers a robust and community-driven solution for organizations seeking efficient data warehousing and analytical capabilities within their existing big data infrastructure.
Key Capabilities
- ✓Indexed columnar data storage for fast analytics
- ✓Multi-level indexing for accelerated query processing
- ✓Deep integration with Apache Spark and Hadoop
- ✓Advanced pushdown optimization to minimize data processing
- ✓Support for update and delete operations on big data
Integrations
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