Serina articles - 12 total
esProc SPL: Equivalent to the Python-enhanced DuckDB
For desktop data analysis users, if DuckDB is the handy ‘SQL Swiss Army Knife,’ then esProc SPL is an...
esProc SPL & MongoDB: A Match Made in Data Heaven
MongoDB, as a mainstream NoSQL database, has become a powerful tool for handling unstructured data...
Analyzing DuckDB’s Performance Optimization through TOPN and COUNT DISTINCT Operations
In recent years, DuckDB has emerged as a popular choice for numerous data analysis scenarios. Its...
With SPL, It Seems We Don’t Need ORM Anymore
ORM technology indeed simplifies basic CRUD operations, but it also has many limitations when dealing...
Besides True Parallelism and Big Data, esProc SPL’s Conciseness Leaves Python in the Dust
Python, with its concise syntax and rich libraries, provides a significantly simpler way to data...
Comparison of esProc SPL and DuckDB in Data Storage
Data storage is essentially about striking a balance between flexibility, performance, and ease of...
esProc SPL vs DuckDB: Which is more Lightweight for In-Application Computation
Both DuckDB and esProc SPL can be embedded in applications as computing engines. This article will...
Comparison of esProc SPL and DuckDB in Multi-Data Source Capabilities
Both DuckDB and esProc SPL support diverse data sources, and this article will compare the...
SPL Operates Multi-layer JSON Data Much More Conveniently than DuckDB
esProc SPL is much more convenient than DuckDB in operating multi-layer JSON data, particularly when...
Local Data Analysis: DuckDB or esProc SPL?
DuckDB can directly read common files such as CSV, Parquet, and JSON. With just a single SQL...
esProc SPL: Combining the Strengths of DuckDB and Python
That DuckDB is gaining more and more attention is no accident. As a rising star in desktop analytics,...
I tried out a new programming language for data analysts
The programming language esProc SPL recommended for data analysts is definitely worth a try. Let’s...