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1
Introduction
2
Motivation
3
The problem
4
Approach
5
Typical data load
6
Two databases
7
Feature set
8
Schema
9
Cardinality
10
Query complexity
11
Deployment complexity
12
Operational complexity
13
Additional decision factors
14
Inmemory databases
15
GPUbase databases
16
Dataware databases
17
Data lakes
18
Distributed databases
19
Document databases
20
Audit databases
21
Machine learning databases
22
Other databases
23
Conclusion
24
Questions
Description:
Explore the evolving landscape of database engines in this 32-minute conference talk from EuroPython 2022. Delve into the challenges of selecting the right database for your project, considering options beyond traditional choices like PostgreSQL and MySQL. Learn about the strengths of various database engines when used with Python applications, covering relational databases for general-purpose tasks, data warehouse workloads, data analytics, machine learning, and streaming data. Gain insights into in-memory databases, GPU-based databases, data lakes, distributed databases, document databases, audit databases, and machine learning databases. Understand important decision factors such as feature sets, schema design, cardinality, query complexity, deployment complexity, and operational complexity to make informed choices for your next project.

Choosing the Right Database for Your Next Project - Looking at Options Beyond PostgreSQL and MySQL

EuroPython Conference
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