Zilliz Cloud Now Available in Azure North Europe: Bringing AI-Powered Vector Search Closer to European Customers
We’re excited to share that Zilliz Cloud is now live in Azure North Europe (Ireland). This expansion brings our high-performance, AI-powered vector database services closer to more customers in Europe, delivering lower latency and stronger performance for real-world workloads.
By adding Ireland to our existing Azure deployment in Frankfurt, Germany, organizations now have more options for running Zilliz Cloud across Europe. This expansion gives you the flexibility to place workloads where they perform best, while also aligning with your data residency and compliance requirements.
With this launch, European customers get:
Lower latency for users in Western Europe, the UK, and Ireland.
More deployment choices, with multiple European regions to balance performance and cost.
Additional data residency options to meet organizational or regulatory needs.
Stronger compliance coverage, with access to multiple EU jurisdictions.
Unmatched Global Reach: 29 Regions Across 5 Cloud Providers
Following this launch, Zilliz Cloud now spans 29 regions across five major cloud providers—AWS, Google Cloud, Microsoft Azure, Alibaba Cloud, and Tencent Cloud. This extensive global presence enables customers worldwide to deploy where it makes the most sense for their users, data, and regulatory requirements.
Current Zilliz Cloud Availability in AWS, GCP, and Azure:
| AWS Regions | Google Cloud Regions | Microsoft Azure Regions |
|---|---|---|
| us-east-1 (N. Virginia, USA) | us-west1 (Oregon, USA) | East US (Virginia, USA) |
| us-east-2 (Ohio, USA) | us-east4 (Virginia, USA) | East US 2 (Virginia, USA) |
| us-west-2 (Oregon, USA) | us-central1 (Iowa, USA) | Central US (Iowa, USA) |
| ca-central-1 (Canada Central) | europe-west3 (Frankfurt, Germany) | Germany West Central (Frankfurt, Germany) |
| eu-central-1 (Frankfurt, Germany) | asia-southeast1 (Singapore) | Central India (Pune, India) |
| ap-northeast-1 (Tokyo, Japan) | North Europe (Ireland, Ireland) ← New! | |
| ap-southeast-1 (Singapore) | ||
| ap-southeast-2 (Sydney, Australia) |
Plus additional regions across Alibaba Cloud and Tencent Cloud.
For complete regional availability, check out our Cloud Providers & Regions documentation.
Build Without Limits: Zilliz Cloud Key Features at a Glance
Vector databases are now the backbone of modern AI—from powering recommendation engines and chatbots to enabling semantic search and image recognition. Zilliz Cloud is a fully managed vector database and data service built on top of Milvus, empowering you to unlock the full potential of unstructured data for your AI applications.
Elastic scaling & cost efficiency – One-click deployment, serverless autoscaling, and pay-as-you-go pricing.
Advanced AI search – Vector, full-text, and hybrid (sparse + dense) search with metadata filtering, dynamic schema, and multi-tenancy.
Natural language querying – MCP server support for intuitive queries without complex APIs.
Enterprise-grade reliability & security – 99.95% SLA, SOC 2 Type II and ISO 27001 certifications, GDPR compliance, HIPAA readiness, RBAC, BYOC, and now audit logs. See our trust center for more information.
Global availability – Deployments across AWS, GCP, and Azure with sub-100ms latency worldwide.
Seamless migration – Built-in tools to move from Pinecone, Qdrant, Elasticsearch, PostgreSQL, OpenSearch, AWS S3 vectors, Weaviate, or on-prem Milvus.
Taken together, these features make Zilliz Cloud more than just a vector database. It’s a production-ready platform that enables enterprises to build and scale AI applications without limitations.
Getting Started with Zilliz Cloud on Azure North Europe
If you're using Azure and building AI applications in Europe or for European users, our new Azure North Europe region is ready to support your deployments.
Quick Setup Steps:
Sign in to your Zilliz Cloud console. If you're new to Zilliz Cloud, sign up for free.
Create a new cluster and select "Azure" as your cloud provider. Then, choose "North Europe (Ireland)" as your region.
Configure your cluster specifications according to your workload requirements.
Deploy and start building your AI applications.
Need Help?
Explore our quick-start guide
Contact our support team for assistance.
Learn more about Zilliz Cloud capabilities
Check out our migration guides for existing deployments.
What's Next?
The launch of Azure North Europe (Ireland) is part of our ongoing commitment to global expansion. We continue to evaluate new regions and cloud providers to ensure Zilliz Cloud is available wherever our customers need it.
Ready to experience the power of Zilliz Cloud in Azure North Europe? Get started today and join thousands of developers and enterprises already building the next generation of AI applications with vector databases.
Fendy FengFendy Feng is the Product Marketing Manager at Zilliz. She has extensive experience developing and enhancing the impact of open-source projects in various global markets by producing high-quality, tailored content. Before joining Zilliz, Fendy worked as a Content Strategist at PingCAP, a fast-growing E-Series startup renowned for its open-source distributed SQL database.
- Unmatched Global Reach: 29 Regions Across 5 Cloud Providers
- Build Without Limits: Zilliz Cloud Key Features at a Glance
- Getting Started with Zilliz Cloud on Azure North Europe
- What's Next?
Content
Start Free, Scale Easily
Try the fully-managed vector database built for your GenAI applications.
Try Zilliz Cloud for FreeKeep Reading
Zero-Downtime Migration Now Available in Zilliz Cloud Private Preview
Zero-Downtime Migration enables seamless cluster-to-cluster migrations within Zilliz Cloud while maintaining full service availability.
Top 5 AI Search Engines to Know in 2025
Discover the top AI-powered search engines of 2025, including OpenAI, Google AI, Bing, Perplexity, and Arc Search. Compare features, strengths, and limitations.
Beyond PGVector: When Your Vector Database Needs a Formula 1 Upgrade
This blog explores why Postgres, with its vector search add-on, pgvector, works well for smaller projects and simpler use cases but reaches its limits for large-scale vector search.