Snowflake-Labs/interactive-analytics
Python
Captured source
source ↗Snowflake-Labs/interactive-analytics
Description: Samples, Demos and Benchmark tools focused on Interactive Analytics
Language: Python
License: Apache-2.0
Stars: 0
Forks: 0
Open issues: 1
Created: 2026-06-18T21:25:26Z
Pushed: 2026-06-18T21:27:15Z
Default branch: main
Fork: no
Archived: no
README:
Interactive Analytics
This repository contains samples, demos, and benchmarking tools to help you get started with Snowflake Interactive Analytics scenarios — including interactive warehouses, interactive tables, and low-latency, high-concurrency workloads.
Contents
[interactive-vs-standard/](interactive-vs-standard/)
A parallel-load benchmarking tool that compares query latency and throughput (queries/second) between a standard warehouse (STD_WH) and an interactive warehouse (IW_WH). It runs a configurable workload across N simulated concurrent users against TPC-DS interactive tables, and reports latency percentiles (p50/p95/p99), throughput, and side-by-side deltas.
Includes the SQL setup script to provision the required database, schema, warehouses, and interactive tables. See the folder's [README](interactive-vs-standard/README.md) for full usage details.
---
More samples and scenarios will be added over time.
Notability
notability 4.0/10Routine new analytics repo from Snowflake Labs.