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  1. Stackups
  2. Application & Data
  3. Databases
  4. Vector Databases
  5. LanceDB vs Milvus

LanceDB vs Milvus

OverviewComparisonAlternatives

Overview

Milvus
Milvus
Stacks62
Followers49
Votes2
GitHub Stars38.3K
Forks3.5K
LanceDB
LanceDB
Stacks3
Followers4
Votes0
GitHub Stars7.9K
Forks635

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Detailed Comparison

Milvus
Milvus
LanceDB
LanceDB

Milvus is an open source vector database. Built with heterogeneous computing architecture for the best cost efficiency. Searches over billion-scale vectors take only milliseconds with minimum computing resources.

It is an open-source database for vector search built with persistent storage, which greatly simplifies retrieval, filtering, and management of embeddings.

Heterogeneous computing; Multiple indexes; Intelligent resource management; Horizontal scalability; High availability
Production-scale vector search with no servers to manage; Store, query, and filter vectors, metadata, and multi-modal data (text, images, videos, point clouds, and more); Native Python and Javascript/Typescript support; Zero-copy, automatic versioning, manage versions of your data without needing extra infrastructure
Statistics
GitHub Stars
38.3K
GitHub Stars
7.9K
GitHub Forks
3.5K
GitHub Forks
635
Stacks
62
Stacks
3
Followers
49
Followers
4
Votes
2
Votes
0
Pros & Cons
Pros
  • 2
    Best similarity search engine, fast and easy to use
No community feedback yet
Integrations
Hugging Face
Hugging Face
Java
Java
CentOS
CentOS
Python
Python
PyTorch
PyTorch
C++
C++
Ubuntu
Ubuntu
Cohere
Cohere
Tasker
Tasker
LlamaIndex
LlamaIndex
DuckDB
DuckDB
JavaScript
JavaScript
LangChain
LangChain
TypeScript
TypeScript
Pandas
Pandas
Python
Python

What are some alternatives to Milvus, LanceDB?

TensorFlow

TensorFlow

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

scikit-learn

scikit-learn

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

PyTorch

PyTorch

PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

Keras

Keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/

Kubeflow

Kubeflow

The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.

TensorFlow.js

TensorFlow.js

Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API

Polyaxon

Polyaxon

An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.

Streamlit

Streamlit

It is the app framework specifically for Machine Learning and Data Science teams. You can rapidly build the tools you need. Build apps in a dozen lines of Python with a simple API.

MLflow

MLflow

MLflow is an open source platform for managing the end-to-end machine learning lifecycle.

H2O

H2O

H2O.ai is the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark.

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