Testing_BI_Engine

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Testing_BI_Engine

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TPC-H_SF10

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// repository documentation

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# Update : added results for SF100

Blog : https://datamonkeysite.com/2023/03/09/benchmarking-snowflake-databricks-synapse-bigquery-and-duckdb-using-tpch-sf100/

# Testing OLAP SQL Engine using TPC-H

it started as testing BigQuery BI engine for fun, but I did found it easy to test other Engine too, Please check this blog for Background

https://datamonkeysite.com/2022/01/07/benchmark-snowflake-bigquery-singlestore-and-databricks-using-tpc-h-sf10/

so Far Tested Snowflake, BigQuery, Databrciks SQL, SingleStore,DuckDB, and PowerBI Datamart, I only include DB that take less than 100 second to finish the benchmark

it is not supposed to be very accurate or an official benchmark, but just to get a general impression of the performance.

TPC-H reference : http://tpc.org/tpc_documents_current_versions/pdf/tpc-h_v3.0.0.pdf

# BigQuery BI Engine

The Original Purpose of the Benchmark was to troll BiQuery Product team to make all Queries accelerated by BI Engine :)

Unfortunately not all Queries are accelerated by BigQuery BI Engine (Currently only 11)

Currently BI Engine is limited to a join with 5 Million Dimension Table

up to 5 Joins are supported

see Current Limitations
https://cloud.google.com/bi-engine/docs/sql-interface-overview#limitations

TPC-H SF10 use up to 8 joins and a dimension Table with 15 Million Records.

Results for BI Engine Only : https://datastudio.google.com/reporting/b162bcc1-baee-4af5-995f-6155c939d742/page/p_v72vuqfvqc

# PowerBI Datamart

it is the easiest to setup, loading data uses only GUI, I love it, but it is a read only DB, you can can't delete rows etc

#Apache Spark

added Pyspark, just for fun, all I can say, it is really slow in a single node system

Testing_BI_Engine

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