![]() ![]() And even then, you may need to add custom optimizations to get the best performance.Īs someone who's worked on both database from the big red O company as well as MSSQL, I can assure you that it doesn't require a new release to cause a query plan regression. If you are going to take one thing away from this article, I hope it is that the only benchmarks that are valuable are those that run on your own platform, with your own stack, with your own data, and with your own software. ![]() ![]() What follows is a detailed account of my effort, the results of my testing (including a surprising twist!), and my analysis and final decision, which ended up being more involved than I expected. Having publicly professed my dislike of performance benchmarks, I resisted the urge to look up any comparisons online, and instead embarked on a series of experiments to accurately measure the performance of these two databases for the specific use cases of this application. But almost a year and a half later, this application tracks daily traffic for close to 8000 articles across the Twilio and SendGrid blogs, with about 6.5 million individual daily traffic records, and with a user base that grew to over 200 employees.Īt some point I realized that some queries were taking a few seconds to produce results, so I started to wonder if a more robust database such as PostgreSQL would provide better performance. I chose SQLite for the database that supports this dashboard, which in early 2021 when I built this system, seemed like a perfect choice for what I thought would be a small, niche application that my teammates and I can use to improve our blogging. Users can interactively request charts and tables while filtering and grouping the data in many different ways. To help us understand what content works well and what doesn't on our blog, we have a dashboard that combines the metadata that we maintain for each article such as author, team, product, publication date, etc., with traffic information from Google Analytics. It also teaches you how to create tables, using the alchemy code, and how to query datasets.Miguel Grinberg, a Principal Software Engineer for Technical Content at Twilio, writes in a blog post: We take blogging very seriously at Twilio. These explain simply how to connect to a database, setup SQLAlchemy and how everything pieces together. Install PostgreSQL first then to get started i would look at the tutorials on the SQLAlchemy website, which explains all the terminology you will need to get started. ![]() There is this good link on the internet to find out the difference between PostgreSQL and SQLite. So basically SQLAlchemy gives you the tools to access SQL databases such as PostgreSQL and SQLite Mysql etc, and query them in a pythonic way. Patterns, designed for efficient and high-performing database access,Īdapted into a simple and Pythonic domain language. It provides a full suite of well known enterprise-level persistence Gives application developers the full power and flexibility of SQL. SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that PostgreSQL and SQLite are two relation databases, SQLAlchemy is an ORM which gives you a set of tools for accessing the data in the database. ![]()
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