Milvus Reviews & Product Details

Native architecture for vectors

Specifically designed for large-scale vector storage and search, unlike traditional databases that are adapted.

Efficient support for dense and sparse embeddings, essential for modern AI models. Review collected by and hosted on G2.com.

Operational and deployment complexity

Intricate distributed architecture: Multiple components (coordinators, workers, etc.) require separate configuration and monitoring.

Heavy infrastructure dependency: Need for Kubernetes or container orchestration for production deployment.

Limited standalone version: The "standalone" version is not suitable for production, only for testing. Review collected by and hosted on G2.com.

Highlight for Omnichannel, all modes of service in a single tool. Real-time monitoring of terminals. SLA management, reports, and dashboards. Knowledge base with self-service for end users. Review collected by and hosted on G2.com.

Configuration complexity for smaller companies, with a wide range of functionalities. Structure more oriented towards the IT sector. Cloud-based platform, any instability interrupts access. Review collected by and hosted on G2.com.

Clarity in calls and notices. Category and pauses. Review collected by and hosted on G2.com.

There is no automation by queue and SLA deadline. Review collected by and hosted on G2.com.

Milvus stands proud as an outstanding open-source vector database for its effective guide for similarity seek and AI programs. What I like satisfactory approximately Milvus is its distinctly efficient and scalable architecture, which seamlessly handles massive-scale datasets with millions or even billions of vectors Review collected by and hosted on G2.com.

One major drawback is its quite steep learning curve, especially for users new to vector database and AI applications Review collected by and hosted on G2.com.

Milvus excels in performing similarity searches on high-dimensional vector data, which is crucial for applications like image retrieval, natural language processing (NLP), and recommendation systems. Review collected by and hosted on G2.com.

It is complex to setup and configure Milvus in a distributed environment. Review collected by and hosted on G2.com.

It is one of the fastest vector database out there. Review collected by and hosted on G2.com.

The code to make collection can be difficult to understand for a beginner. Review collected by and hosted on G2.com.

The ability to take the open source code base and build something really powerful for our own use case. Review collected by and hosted on G2.com.

The learning curve to get everything set up has been a challenge. Review collected by and hosted on G2.com.

Milvus is extremely scalable, easy to use Review collected by and hosted on G2.com.

Nothing to report whatsoever ........... Review collected by and hosted on G2.com.

Milvus has a cloud native architecture, excellent performance, rich index types, and can support a variety of application scenarios, making it very suitable for large-scale landing in enterprises. With rich api support, it is very convenient to build a platform in enterprises. We use milvus in image similarity search, video similarity search, recommender system scenarios, by using milvus our system significantly improved performance and stability. Review collected by and hosted on G2.com.

Milvus should improve the web UI (Attu), currently the function is relatively simple, and also the upsert feature is Review collected by and hosted on G2.com.

The Milvus community is very active; many users raise issues and get answers daily. The product update speed is breakneck, and it is constantly optimized. At present, its performance and stability meet our needs.

With its efficient and scalable architecture, Milvus can easily handle large-scale data sets, providing fast and accurate results even on complex queries. Review collected by and hosted on G2.com.

Some docs are not accurate, with little mistakes. Review collected by and hosted on G2.com.