> For the complete documentation index, see [llms.txt](https://docs-v3.activeloop.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs-v3.activeloop.ai/v3.8.16/performance-features/managed-database.md).

# Managed Tensor Database

## Overview of Deep Lake's Managed Tensor Database

Deep Lake offers a serverless Managed Tensor Database that eliminates the complexity of self-hosting and substantially lowers costs. Currently, it only supports dataset queries, including vector search, but additional features for creating and modifying data being added in December 2023.

<figure><img src="/files/zCYswSlojjcfeUex6dva" alt=""><figcaption><p>Comparison of Deep Lake as a Managed Database vs Embedded Database</p></figcaption></figure>

### User Interfaces

#### LangChain and LlamaIndex

To use the Managed Vector Database in LangChain or Llama Index, specify `dataset_path = hub://org_id/dataset_name` and `runtime = {"tensor_db": True}` during Vector Store creation.

#### REST API

A standalone REST API is available for interacting with the Managed Database:

{% content-ref url="/pages/EFhS3VUnKNCglRk6PJbX" %}
[REST API](/v3.8.16/performance-features/managed-database/rest-api.md)
{% endcontent-ref %}

### Further Information:

{% content-ref url="/pages/w9jWto34Q6bujKmmgXvn" %}
[Migrating Datasets to the Tensor Database](/v3.8.16/performance-features/managed-database/migrating-datasets-to-the-tensor-database.md)
{% endcontent-ref %}


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