BlazingSQL is a GPU accelerated SQL engine built on top of the RAPIDS ecosystem. RAPIDS is based on the Apache Arrow columnar memory format, and cuDF is a GPU DataFrame library for loading, joining, aggregating, filtering, and otherwise manipulating data.
BlazingSQL is a SQL interface for cuDF, with various features to support large scale data science workflows and enterprise datasets.
- Query Data Stored Externally - a single line of code can register remote storage solutions, such as Amazon S3.
- Simple SQL - incredibly easy to use, run a SQL query and the results are GPU DataFrames (GDFs).
- Interoperable - GDFs are immediately accessible to any RAPIDS library for data science workloads.
Forget about schema management, preprocessing, and loading — run SQL directly on files or GPU DataFrames.
- Anaconda or Miniconda installed
- OS Support
- Ubuntu 16.04/18.04 LTS
- CentOS 7
- GPU Support
- Pascal or Better
- Compute Capability >= 6.0
- CUDA Support
- Python Support
Updated about a month ago
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|Build From Source|
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