Polars — Processing hundreds of GBs of textual data on a daily basis at MDPI
pola.rs
Polars — Processing hundreds of GBs of textual data on a daily basis at MDPI
Navigating the terrain of vector databases in 2023 reveals a diverse array of options each catering to different needs. The comparison table paints a clear picture, but here's a succinct summary to aid your decision:
- Open-Source and hosted cloud : If you lean towards open-source solutions, Weviate, Milvus, and Chroma emerge as top contenders. Pinec
Picking a vector database: a comparison and guide for 2023
Most enterprises deal with multiple types of data in addition to relational data from a database.
Bill Franks • Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Wiley and SAS Business Series)
speed things up, it built a Hadoop cluster to store incoming data from all brands and analyzed the cluster directly in a manner that was much faster and more precise. Time required dropped from eight weeks to one.
Ray Velez • Converge: Transforming Business at the Intersection of Marketing and Technology
LanceDB
LanceDB is an open-source vector database for AI that's designed to store, manage, query and retrieve embeddings on large-scale multi-modal data. The core of LanceDB is written in Rust 🦀 and is built on top of Lance, an open-source columnar data format designed for performant ML workloads and fast random access.
Both the database and the un... See more
LanceDB is an open-source vector database for AI that's designed to store, manage, query and retrieve embeddings on large-scale multi-modal data. The core of LanceDB is written in Rust 🦀 and is built on top of Lance, an open-source columnar data format designed for performant ML workloads and fast random access.
Both the database and the un... See more