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EVA DB VS pgvecto.rs

Compare EVA DB VS pgvecto.rs and see what are their differences

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EVA DB logo EVA DB

EVA AI-Relational Database System | SQL meets Deep Learning

pgvecto.rs logo pgvecto.rs

Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database. - tensorchord/pgvecto.rs
  • EVA DB Landing page
    Landing page //
    2023-04-17

EVA is an open-source AI-relational database with first-class support for deep learning models. It aims to support AI-powered database applications that operate on both structured (tables) and unstructured data (videos, text, podcasts, PDFs, etc.) with deep learning models.

  • pgvecto.rs Landing page
    Landing page //
    2024-03-16

Category Popularity

0-100% (relative to EVA DB and pgvecto.rs)

EVA DB

pgvecto.rs

Search Engine
30 30%
Search Engine
70% 70
Databases
100 100%
Databases
0% 0
Vector Databases
0 0%
Vector Databases
100% 100
Custom Search Engine
100 100%
Custom Search Engine
0% 0

User comments

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Social recommendations and mentions

pgvecto.rs might be a bit more popular than EVA DB. We know about 1 link to it since March 2021 and only 1 link to EVA DB. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

EVA DB mentions (1)

  • Using EvaDB to build AI-enhanced apps
    EvaDB plugs AI into traditional SQL databases, so as a first step, we’ll need to install a database. For this article, we’ll use SQLite because it's fast enough for our tests and does not require a proper database server running somewhere. You may choose a different database, if you prefer. - Source: dev.to / 5 months ago

pgvecto.rs mentions (1)

  • pgvector vs. pgvecto.rs in 2024: A Comprehensive Comparison for Vector Search in PostgreSQL
    Pgvecto.rs adopted a design akin to FreshDiskANN, resembling the Log-Structured Merge (LSM) tree concept. This architecture comprises three components: the writing segment, the growing segment, and the sealed segment. New vectors are initially written to the writing segment. A background process then asynchronously transforms them into the immutable growing segment. Subsequently, the growing segment undergoes a... - Source: dev.to / 3 months ago

What are some alternatives?

When comparing EVA DB and pgvecto.rs, you can also consider the following products

txtai - AI-powered search engine

Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.

Weaviate - Welcome to Weaviate

Qdrant - Qdrant is a high-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Vespa.ai - Store, search, rank and organize big data

Godmode - An AGI in your browser

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