What’s New In Milvus 2.2.3
We are proud to announce the release of Milvus 2.2.3 on behalf of the Milvus community. The 2.2.3 release contains a few new features and many improvements. This blog post will highlight some of the more prominent features. For a complete list of changes, check the release notes.
- 📦 PyPI: https://pypi.org/project/milvus/
- 📚 Docs: https://milvus.io/docs
- 🛠️ Release Notes: https://milvus.io/docs/release_notes.md#223
- 🐳 Docker Image: docker pull milvusdb/milvus
- 🚀 Release: https://github.com/milvus-io/milvus/releases/tag/v2.2.3
One of the highlights of this release is the introduction of Rolling Upgrade support, an essential capability of highly available systems. A rolling upgrade allows you to upgrade Milvus without noticeable service disruption and with minimal downtime. Again, tying with the HA theme, this release includes the Coordinator High Availability (HA) feature to allow Milvus coordinators to work in active-standby mode and ensure a short failure recovery time of no more than 30 seconds.
In addition, there were several enhancements added to the following features:
- Bulk-insert
- Memory usage reduction
- Optimization of monitoring metrics
- Performance improvements for Meta storage
Please note that Milvus 2.2.3 also included a breaking change where the maximum number of fields in a collection was reduced from 256 to 64 (#22030).
Summary In addition to all of the features listed above, Milvus 2.2.3 includes several bug fixes and improvements. To learn more:
- See the release notes for version 2.2.3 for the complete list of changes
- Download Milvus and get started
Chris ChuriloChris Churilo is the VP of Marketing & Community at Zilliz where she leads all community, developer relations, and marketing efforts. Prior to Zilliz, Chris was a founding member of the InfluxData’s go to market efforts and helped propel the time series database platform to dominance in the market. In earlier roles she defined and designed a SaaS monitoring solution at Centroid, and prior to that she was the VP of product management at iPass and was the LOB for several cloud services that required her to track the business and operational metrics and analytics to help identify and resolve issues.
Start Free, Scale Easily
Try the fully-managed vector database built for your GenAI applications.
Try Zilliz Cloud for FreeKeep Reading
Migrating from S3 Vectors to Zilliz Cloud: Unlocking the Power of Tiered Storage
Learn how Zilliz Cloud bridges cost and performance with tiered storage and enterprise-grade features, and how to migrate data from AWS S3 Vectors to Zilliz Cloud.
Zilliz Cloud Audit Logs Goes GA: Security, Compliance, and Transparency at Scale
Zilliz Cloud Audit Logs are GA—delivering security, compliance, and transparency at scale with real-time visibility and enterprise-ready audit trails.
How AI and Vector Databases Are Transforming the Consumer and Retail Sector
AI and vector databases are transforming retail, enhancing personalization, search, customer service, and operations. Discover how Zilliz Cloud helps drive growth and innovation.