AI-Native Database SynapCores SQLv2 vs PostgreSQL
The article compares SynapCores SQLv2 with PostgreSQL, highlighting the advancements in database technology. SynapCores is designed as an AI-native database, offering built-in vector operations and machine learning capabilities without the need for extensions. It aims to simplify complex queries and enhance performance for modern applications that require semantic understanding and forecasting.
- ▪SynapCores SQLv2 provides native embedding generation and vector search directly in SQL.
- ▪It allows for machine learning-powered forecasting using a unified SQL syntax.
- ▪The database is built for modern applications needing vector search, embeddings, and time series analysis.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 2755752) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Luis M Posted on May 24 • Originally published at synapcores.com AI-Native Database SynapCores SQLv2 vs PostgreSQL #database #ai #rust #programming SynapCores SQLv2 vs PostgreSQL: The Evolution of Database Systems The AI Database Revolution We built window functions (LAG, LEAD, RANK, etc.) in SynapCores, and it got us thinking about how far we've come from traditional databases like PostgreSQL.
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