Statements (56)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:project
|
| gptkbp:bfsLayer |
7
|
| gptkbp:bfsParent |
gptkb:Arrow_Compute_Kernel
gptkb:Arrow_Java_Package |
| gptkbp:aims_to |
Real-time analytics
Data visualization tools Machine learning workloads Data interchange between systems Data serialization overhead Performance of data analytics |
| gptkbp:developed_by |
gptkb:software_framework
|
| gptkbp:features |
Cross-language support
Support for complex data types Efficient serialization Zero-copy reads |
| gptkbp:has_community |
User community
Active developer community |
| gptkbp:has_documentation |
Comprehensive documentation
Tutorials and examples |
| https://www.w3.org/2000/01/rdf-schema#label |
Apache Arrow Project
|
| gptkbp:integrates_with |
Integration with cloud services
Integration with R Integration with Apache Kafka Integration with Dask Integration with Apache Flink Integration with Apache Spark Integration with Apache Parquet Integration with Tensor Flow Integration with Pandas Integration with Apache Drill Integration with SQL engines |
| gptkbp:language |
gptkb:Java
gptkb:C++ gptkb:Library |
| gptkbp:license |
Apache License 2.0
|
| gptkbp:notable_recipients |
Many open-source contributors
|
| gptkbp:purpose |
Columnar in-memory analytics
|
| gptkbp:related_to |
gptkb:physicist
gptkb:Big_Data Data Processing |
| gptkbp:release_date |
gptkb:2016
|
| gptkbp:supports |
Interoperability between different data processing systems
|
| gptkbp:use_case |
Business intelligence
Scientific computing Data analytics Data visualization Data warehousing Geospatial data processing Data engineering Financial analytics Machine learning model training Batch data processing Streaming data processing |
| gptkbp:uses |
Columnar storage format
Memory-mapped files |
| gptkbp:website |
https://arrow.apache.org
|