This article explores how AI tools accelerate insights, automate SQL, enhance forecasting, and reduce technical barriers, empowering developers and business users. Discover top AI solutions, real-world use cases, and how to integrate AI effectively into your analytics stack.
This guide covers how to build a high-performance database from the ground up; schema design, indexing, security, and optimization included. Aimed at engineers and architects, it also shows how AI tools like dbForge Edge accelerate development across MySQL, PostgreSQL, SQL Server, and Oracle.
This guide cuts through the hype and highlights the best AI coding assistants for 2025, with real-world insights on performance, integration, and usability. Discover which tools stand out—and why.
Learn the essential database design best practices to optimize your schema and table structures. Implement these strategies for scalable, high-performance databases. Read more!
Real data slows teams down—and risks breaking compliance. Synthetic data by contrast flips the script, fueling faster development with privacy built in. But not every generator delivers the precision, flexibility, and scale modern teams expect. Find out which synthetic data tools lead in 2025.
Good aggregation drives clarity. Bad aggregation drives costs. Explore how SQL aggregate functions work, how they’re used in real-time analytics, and how tools like dbForge Edge help prevent slowdowns before they start.
Looking for the best database for data analytics? Compare top-rated systems for data analytics, real-time processing, and big data. Find the right solution today!
Learn how to use the SQL CREATE VIEW statement with syntax, examples, and best practices. Find out how views improve security, simplify queries, and organize data.