Blog
#Hyper
Découvrez nos articles sur la performance IT, le cloud, la data science et les meilleures pratiques de l'industrie.
Tous les articles
Parquet file sorting test
Some time ago, we came across an intriguing Parquet sorting test shared by Mimoune Djouallah on Twitter @mim_djo.
TPC-H benchmark of DuckDB and Hyper on native files
In this blog post, we examine the performance of two popular SQL engines for querying large files: These engines have gained popularity due to their…
TPC-H benchmark of Hyper and DuckDB on Windows and Linux OS
In this blog post, we explore the use of two SQL engines, and specifically their Python API, for querying files.
TPC-H benchmark of Hyper, DuckDB and Datafusion on Parquet files
In this blog post, we focus on directly querying Parquet files using three different SQL engines, and more specifically their Python API: The TPC-H…
TPCH SF10 : Tableau Hyper Engine vs DuckDB vs Snowflake vs BigQuery vs Databricks vs SingleStore
After a first try with TPCH SF10 using DuckDB on 2 differents laptops and compare parquet storage vs native storage (see TPCH SF10 using DuckDB vs…
Query Parquet files with DuckDB and Tableau Hyper engines
In this notebook, we are going to query some Parquet files with the following SQL engines: Both of these tools are optimized for Online analytical…
Loading data from CSV files into a Tableau Hyper extract
Hyper is Tableau’s in-memory data engine technology, designed for fast data ingest and analytical query processing on large or complex data sets.
Besoin d'expertise sur votre projet ?
Nos experts sont à votre disposition pour vous accompagner.
Contactez-nous