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.

Prerequisites

• Anaconda or Miniconda installed
• OS Support
  • Ubuntu 16.04/18.04/20.04 LTS
  • CentOS 7
• GPU Support
  • Pascal or Better
  • Compute Capability >= 6.0
• CUDA Support
  • 10.1.2
  • 10.2
  • 11.0
• Python Support
  • 3.7
  • 3.8