{"slug": "byoc-pinecone-vector-database-managed-service-expands-to-aws-azure-gcp", "title": "BYOC: Pinecone vector database managed service expands to AWS, Azure & GCP", "summary": "Pinecone has expanded its bring-your-own-cloud (BYOC) managed vector database service to AWS, Azure and Google Cloud, letting customers run the data plane inside their own cloud account and region while Pinecone manages operations through its control plane. Toyota Motor North America was one of the first BYOC customers to deploy it in production, keeping its manufacturing knowledge inside Toyota's environment, according to Kordel France, Head of AI Engineering at Toyota Motor North America. Pinecone said it is also developing a fully self-managed option for air-gapped and highly restricted networks in which both the control plane and data plane run inside the customer environment.", "body_md": "AI/ML\n\n# BYOC: Pinecone vector database managed service expands to AWS, Azure & GCP\n\nVector database-as-a-Service supplier [Pinecone](https://www.blocksandfiles.com/ai-ml/2026/05/05/pinecone-providing-compiled-vector-artifacts-to-accelerate-ai-agents/5219380) has released its proprietary cloud lock by adding support for the AWS, Azure and Google clouds, and is aiming to head fully into the on-prem world.\n\nA vector database stores the mathematically transformed tokens generated by a user’s natural language input to a large language model (LLM). Pinecone provides a managed vector database service to store, access and use these vectors. Its bring-your-own-cloud (BYOC) strategy has a customer’s vector data - the data plane - living in their public cloud area but still managed through the Pinecone control plane for operations such as resource lifecycle, authentication, and service health. This control plane does not store or process customer content or request payloads. The public cloud data plane stores, processes, and serves customer data and knowledge. AI agents and applications connect directly to this for read and write operations. The only data shared with Pinecone are anonymized operational metrics and traces for monitoring and support.\n\nWith BYOC, the data plane runs inside the customer's selected cloud account and region, including those beyond where Pinecone's standard service is available. Vectors, documents, metadata, and request payloads remain within the customer-controlled boundary. Customers retain access to Pinecone’s support and engineering teams for troubleshooting, incident response, and ongoing operational guidance.\n\nPinecone does not require SSH, VPN, inbound network access, or a standing cross-account IAM role to manage the service. Upgrades, scaling actions, and maintenance work are retrieved using an outbound call from the Pinecone control plane and executed locally. This allows Pinecone to manage the database without a persistent access path into the customer environment.\n\nBYOC works alongside SSO, RBAC, SCIM + SAML, audit logging, encryption, and private-networking controls available with Pinecone's Enterprise plan so customers can have complete confidence in ensuring their proprietary knowledge is secure.\n\nCustomer admin teams use the same Pinecone APIs, SDKs, and control plane workflows across the BYOC and standard deployments. This means each workload can use the deployment model that fits its data governance and access requirements without creating a separate development path.\n\nToyota Motor North America (TMNA) was one of Pinecone’s first BYOC customers to deploy it in production. TMNA used Pinecone to this way with its decades of proprietary manufacturing knowledge kept secure inside Toyota’s environment and not exposed to Pinecone’s own managed service.\n\nKordel France, Head of AI Engineering at Toyota Motor North America, said: ”Decades of manufacturing know-how live in our documentation, and that institutional knowledge is one of the most valuable assets we have. It also happens to be complex — highly structured engineering data sitting alongside unstructured process documents, across a lot of formats and a lot of different access patterns. Pinecone BYOC runs inside our own environment, so that knowledge never leaves our boundary and is served only to models we’ve already vetted.”\n\nPinecone wants to go further, and work in a customer’s on-premises environment. Its developing a fully self-managed option for air-gapped and highly restricted networks where both the control plane and data plane will run inside the customer environment.\n\nRead more about all this in a Pinecone BYOC product page [here](https://www.pinecone.io/product/bring-your-own-cloud/) and from BYPC documentation [here](https://docs.pinecone.io/guides/production/bring-your-own-cloud).\n\n##### Bootnote\n\nPinecone is following its competitors' examples. Zilliz Cloud documents regions on all three providers and offers both SaaS and BYOC (Bring Your Own Cloud) on AWS, Google Cloud, and Microsoft Azure. Feature availability can vary by region and plan (for example on-demand compute is not equally available everywhere).\n\nWeaviate can be self-hosted, with deployment on Kubernetes on AWS (EKS), Azure (AKS), or GCP (GKE). The managed Weaviate Shared Cloud is available on GCP and AWS (AWS Shared Cloud went GA in US East and Europe Frankfurt). Dedicated/enterprise deployments are described as covering AWS, GCP, and Azure. There is also an Azure Marketplace listing for running Weaviate in a customer Azure tenant.\n\nQdrant supports AWS, Azure, and GCP or your own Hybrid Cloud infrastructure.", "url": "https://wpnews.pro/news/byoc-pinecone-vector-database-managed-service-expands-to-aws-azure-gcp", "canonical_source": "https://www.blocksandfiles.com/ai-ml/2026/09/24/byoc-pinecone-vector-database-managed-service-expands-to-aws-azure-gcp/5298778", "published_at": "2026-09-24 11:12:00+00:00", "updated_at": "2026-09-24 11:30:44.966517+00:00", "lang": "en", "topics": ["ai-infrastructure", "ai-products", "ai-agents", "large-language-models"], "entities": ["Pinecone", "AWS", "Microsoft Azure", "Google Cloud", "Toyota Motor North America", "Kordel France", "Zilliz Cloud"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/byoc-pinecone-vector-database-managed-service-expands-to-aws-azure-gcp", "markdown": "https://wpnews.pro/news/byoc-pinecone-vector-database-managed-service-expands-to-aws-azure-gcp.md", "text": "https://wpnews.pro/news/byoc-pinecone-vector-database-managed-service-expands-to-aws-azure-gcp.txt", "jsonld": "https://wpnews.pro/news/byoc-pinecone-vector-database-managed-service-expands-to-aws-azure-gcp.jsonld"}}