EVA – AI-Relational Database System
Hi friends, We are building EVA, an AI-Relational database system with first-class support for deep learning models. Our goal with EVA is to create a platform that supports AI-powered multi-modal database applications operating on structured (tables, feature vectors, etc.) and unstructured data (videos, podcasts, pdf, etc.) with deep learning models. EVA comes with a wide range of models for analyzing unstructured data, including models for object detection, OCR, text summarization, audio speech recognition, and more. The key feature of EVA is its AI-centric query optimizer. This optimizer…
EVA – AI-Relational Database System launched on April 30, 2023 with 237 votes, #106 of 4,853 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 3 years on.
In plain words
EVA is an AI-Relational database system designed for developers building AI-powered applications that process both structured and unstructured data. It integrates deep learning models for tasks like object detection, OCR, text summarization, and speech recognition alongside traditional database functionality. EVA's distinguishing feature is its AI-centric query optimizer, which caches inference results and applies database-inspired optimizations to speed up AI applications and reduce redundant computation.
written from the facts on this page · September 2026
From the sources
Database system for AI-powered apps. Contribute to georgia-tech-db/evadb development by creating an account on GitHub.
In the maker’s words, at launch
Hi friends, We are building EVA, an AI-Relational database system with first-class support for deep learning models. Our goal with EVA is to create a platform that supports AI-powered multi-modal database applications operating on structured (tables, feature vectors, etc.) and unstructured data (videos, podcasts…
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