Laravel: Insert 1M Rows Fast (MySQL, SQLite, PostgreSQL Benchmarks) | Mohamed Said [Skip to content](#main) [ ![](https://cdn.msaied.com/01KT78WE565VEMM3PSNQAAB0MH.png) Mohamed SaidLaravel Backend Engineer ](https://www.msaied.com/public) - [Home](https://www.msaied.com/public) - [Projects](https://www.msaied.com/public/projects) - [Articles](https://www.msaied.com/public/articles) - [Certificates](https://www.msaied.com/public/certificates) - [About](https://www.msaied.com/public#about) [ Contact](https://www.msaied.com/public#contact) Menu Menu ---- Close - [HomeStart here](https://www.msaied.com/public) - [ProjectsCase studies](https://www.msaied.com/public/projects) - [ArticlesEngineering notes](https://www.msaied.com/public/articles) - [CertificatesCredentials](https://www.msaied.com/public/certificates) - [AboutHow I work](https://www.msaied.com/public#about) - [ContactGet in touch](https://www.msaied.com/public#contact) [Start a conversation](https://www.msaied.com/public#contact) [WhatsApp](https://wa.me/201094619204) [Email](mailto:hello@msaied.com) 1. [Home](https://www.msaied.com/public) 2. / 3. [Articles](https://www.msaied.com/public/articles) 4. / 5. [Laravel](https://www.msaied.com/public/articles?category=laravel) 6. / 7. Insert 1M Rows to Laravel DB: 6 Ways on MySQL / SQLite / PostgreSQL (Benchmarks) [Laravel](https://www.msaied.com/public/articles?category=laravel) Insert 1M Rows to Laravel DB: 6 Ways on MySQL / SQLite / PostgreSQL (Benchmarks) ================================================================================= Explore and benchmark six different methods for inserting one million rows into your Laravel database across MySQL, SQLite, and PostgreSQL. Discover the fastest approaches for large data seeding. ![](https://cdn.msaied.com/01M22N44A70A5MC2S599JP0MPH.webp) [Mohamed Said](https://www.msaied.com/public#person) Published 14 May 2026 · Updated 12 Jun 2026 · 2 min read ShareCopy linkCopied ![Insert 1M Rows to Laravel DB: 6 Ways on MySQL / SQLite / PostgreSQL (Benchmarks)](https://cdn.msaied.com/121/a260fbbb54ed12ef1920b5bd910fdfa1.png) On this page +1. [Key Considerations for Large Data Inserts](#key-considerations-for-large-data-inserts) 2. [Benchmarking Approaches](#benchmarking-approaches) 3. [Performance Insights](#performance-insights) 4. [Takeaways](#takeaways) When dealing with large datasets in Laravel, efficiently inserting a significant number of records is crucial for performance. This article, based on a detailed video tutorial, benchmarks six distinct methods for seeding one million rows into a database, covering MySQL, SQLite, and PostgreSQL. While the full details and benchmarks are reserved for premium members, the core objective is to compare the speed of various insertion strategies. The testing environment includes a local MacBook Pro and a budget-friendly $6 Laravel Forge server, providing insights into performance across different hardware and database systems. Understanding these methods can help developers optimize their data seeding processes, whether for development, testing, or production environments. Key Considerations for Large Data Inserts ----------------------------------------- When inserting a large volume of data, several factors come into play: - **Database System:** MySQL, PostgreSQL, and SQLite each have unique performance characteristics. - **Insertion Method:** Different approaches, such as single inserts, bulk inserts, or using specific Laravel features, will yield varying results. - **Hardware/Server Resources:** The performance of the server or local machine directly impacts insertion speed. ### Benchmarking Approaches The tutorial explores multiple techniques to insert 1 million records. While specific code examples are part of the premium content, the general categories of methods likely include: - Standard Eloquent `create()` in a loop. - Using Eloquent `insert()` for bulk operations. - Leveraging the Query Builder for optimized inserts. - Potentially using database-specific bulk loading utilities. - Strategies for handling transactions to improve efficiency. ### Performance Insights Each method is tested against different database systems (MySQL, SQLite, PostgreSQL) and on varying hardware. The results aim to highlight which approaches are most performant for large-scale data insertion tasks within a Laravel application. Takeaways --------- - The choice of database significantly impacts insertion speed. - Bulk insertion methods are generally faster than individual record inserts. - Server resources play a critical role in overall performance. - Optimizing transaction handling can yield performance gains. For a comprehensive understanding and detailed benchmarks, please refer to the original article. [Source: Insert 1M Rows to Laravel DB: 6 Ways on MySQL / SQLite / PostgreSQL (Benchmarks)](https://laraveldaily.com/post/insert-1m-rows-to-laravel-db-6-ways-on-mysql-sqlite-postgresql-benchmarks) - [Laravel](https://www.msaied.com/public/articles?search=Laravel) - [Database](https://www.msaied.com/public/articles?search=Database) - [Performance](https://www.msaied.com/public/articles?search=Performance) - [Benchmarking](https://www.msaied.com/public/articles?search=Benchmarking) - [MySQL](https://www.msaied.com/public/articles?search=MySQL) - [PostgreSQL](https://www.msaied.com/public/articles?search=PostgreSQL) - [SQLite](https://www.msaied.com/public/articles?search=SQLite) Frequently asked questions --------------------------- What database systems are benchmarked for inserting 1 million rows in Laravel?The benchmark covers MySQL, SQLite, and PostgreSQL database systems. Are there specific Laravel features recommended for fast data insertion?The tutorial benchmarks six different approaches, likely including Eloquent methods, Query Builder optimizations, and bulk insertion techniques to identify the fastest options for large datasets. ![Mohamed Said](https://cdn.msaied.com/01M22N44A70A5MC2S599JP0MPH.webp)About the author ---------------- [Mohamed Said](https://www.msaied.com/public#person)Senior Backend Engineer specializing in Laravel, scalable SaaS platforms, APIs, and cloud infrastructure. I build secure, high-performance web applications that help businesses grow. [About](https://www.msaied.com/public#about) [GitHub ↗](https://github.com/EG-Mohamed) [LinkedIn ↗](https://www.linkedin.com/in/msaiedm/) [WhatsApp ↗](https://wa.me/201094619204) [Email Address ↗](mailto:hello@msaied.com) [My CV ↗](https://drive.google.com/file/u/0/d/1MF20IPRJyzfy32mhEutjL5EpSls0w2Q8/view) [Previous articleThe AI Slop Dilemma: A $725B Bet on Unwanted Outputs](https://www.msaied.com/public/articles/the-ai-slop-dilemma-a-725b-bet-on-unwanted-outputs) [Next articleAI's Impact on Tech: Meta's $145B Investment and 8,000 Layoffs](https://www.msaied.com/public/articles/ais-impact-on-tech-metas-145b-investment-and-8000-layoffs) On this page ------------- 1. [Key Considerations for Large Data Inserts](#key-considerations-for-large-data-inserts) 2. [Benchmarking Approaches](#benchmarking-approaches) 3. [Performance Insights](#performance-insights) 4. [Takeaways](#takeaways) ### Have a technical challenge? Tell me what you’re building. I reply within two working days. 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