# How to Build Scalable Metadata Management for AI Object Storage

DevFeed: [How to Build Scalable Metadata Management for AI Object Storage](<https://devfeed.tech/articles/how-to-build-scalable-metadata-management-for-ai-object-storage-23811.md>)

Original publisher: [Read original article](<https://cockroachlabs.com/blog/scalable-metadata-management-ai-object-storage>)

Author: David Weiss

Published: 2025-10-02T00:00:00Z

Content type: tutorial

Language: en

Sources: [Cockroach Labs](<https://devfeed.tech/sources/cockroach-labs.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [data](<https://devfeed.tech/topics/data.md>), [cloud-infrastructure](<https://devfeed.tech/topics/cloud-infrastructure.md>), [Database](<https://devfeed.tech/topics/database.md>), [Concurrency](<https://devfeed.tech/topics/concurrency.md>), [consistency](<https://devfeed.tech/topics/consistency.md>), [Transactions](<https://devfeed.tech/topics/transactions.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Embeddings](<https://devfeed.tech/topics/embeddings.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [consistency](<https://devfeed.tech/tags/consistency.md>), [data](<https://devfeed.tech/tags/data.md>), [database](<https://devfeed.tech/tags/database.md>), [distributed](<https://devfeed.tech/tags/distributed.md>), [llm](<https://devfeed.tech/tags/llm.md>), [object-storage](<https://devfeed.tech/tags/object-storage.md>), [storage](<https://devfeed.tech/tags/storage.md>), [systems](<https://devfeed.tech/tags/systems.md>), [transactions](<https://devfeed.tech/tags/transactions.md>)

## AI overview

The article explains why metadata, rather than raw objects, becomes the main operational challenge when AI systems generate large volumes of unstructured data in object storage. It recommends cloud-native database capabilities including high-throughput, low-latency writes for concurrent metadata operations, strong consistency, ACID guarantees, atomic transactions, and serializable isolation.

## Source excerpt

AI systems, from LLM pipelines to generative image models, produce staggering volumes of unstructured data. But it's not the raw objects that cause operational headaches - it's the metadata: versions, references, lifecycles, and access policies. Without metadata management tools built into the database layer, object storage at scale quickly becomes unmanageable.