InfluxDB v3 allows users to query data at a rate of 4.3 million points per second, but this is meaningless without the ability to query that data. Apache DataFusion, an extensible query execution framework written in Rust, enables faster query responses across various query types compared to previous versions of InfluxDB. DataFusion uses Apache Arrow as its in-memory format, which allows for 5–25x faster query responses. The SQL DataFusion API and Python DataFrame API are used for queries, allowing users to work with Arrow tables, Pandas DataFrames, and Parquet files. Pandas 2.0 supports Arrow and NumPy as the backend, offering performance benefits over Pandas 1.0. Querying Arrow tables with SQL is easier than performing transformations with Pandas, especially for users with SQL backgrounds.