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Zilliz Cloud

A fully managed vector database and data services
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What is Zilliz Cloud?

It is a fully managed vector database platform based on the popular open-source Milvus. It is purpose-built to store, index, and search for billions of embedding vectors to help organizations rapidly create AI/ML applications and unlock the potential of unstructured data.
Zilliz Cloud is a tool in the Databases category of a tech stack.

Zilliz Cloud Integrations

JavaScript, Python, Google Cloud Platform, Golang, and Amazon Web Services (AWS) are some of the popular tools that integrate with Zilliz Cloud. Here's a list of all 11 tools that integrate with Zilliz Cloud.

Zilliz Cloud's Features

  • Vector similarity search
  • Fully managed
  • Elastic scaling
  • Built-in embedding Pipelines
  • Available on AWS, Azure, and Google Cloud

Zilliz Cloud Alternatives & Comparisons

What are some alternatives to Zilliz Cloud?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
See all alternatives
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