Explore the key differences between MongoDB, MySQL, and PostgreSQL to find the perfect fit for your project. Learn about their architectures, features, and industry applications. Our guide helps developers and businesses choose the database that aligns with their software needs and performance goals.

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By integrating HNSW indexes in PostgreSQL, our experiment shows a drastic reduction in query times—from 3.6s to just 0.12s—on datasets of 1 million+ records! 🔥
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The image you sent lists various tools and technologies used by Instagram, categorized under Frontend, Backend, Big Data, and DevOps. Here’s a breakdown of some of the key ones:
Frontend: React and React Native are used to build the user interface for the web and mobile applications.
Backend: Django, a Python framework, is used on the server-side.
Databases: PostgreSQL is used as the primary database for storing user data and content.
Big Data: Apache Spark is a framework used for large-scale data processing.
DevOps: Tools like Docker and Kubernetes are used for containerization and deployment.
Cloud Services: Amazon Web Services (AWS) is likely used to provide cloud storage and infrastructure.
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MSSQL and PostgreSQL are both powerful relational database management systems (RDBMS) that use SQL to manage data. MSSQL, from Microsoft, is known for its robust features and tight integration with other Microsoft products, but comes with a licensing cost. PostgreSQL, a free and open-source option, offers advanced capabilities and flexibility, making it a popular choice for web applications.
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