> 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/v3.7.0/performance-features/introduction.md).

# Introduction

## Overview of Deep Lake's High-Performance Compute Engine built in C++

#### Compute Engine offers high-performance implementations of compute-heavy Deep Lake features, such as distributed dataloading, large queries, and indexing. 

**The engine is built in C++, the user interface is still in Python**, and it is installed from compiled C++ binaries using: `pip install "deeplake[enterprise]"`, 

{% hint style="warning" %}
In order to use Compute Engine, Deep Lake data must be stored in Deep Lake Storage, or in the user's cloud while being connected to Deep Lake using [Managed Credentials](/v3.7.0/storage-and-credentials/managed-credentials.md). 
{% endhint %}

### Features Optimized in the Compute Engine:

{% content-ref url="/pages/qNbf22ZNhBj9ifUAZEPz" %}
[Performant Dataloader](/v3.7.0/performance-features/performant-dataloader.md)
{% endcontent-ref %}

{% content-ref url="/pages/fjjI8Q8rEsEXVKk2EiDY" %}
[Tensor Query Language (TQL)](/v3.7.0/performance-features/querying-datasets.md)
{% endcontent-ref %}

{% content-ref url="/pages/sUeSQxIPKV6wWfNnDgXr" %}
[Index for ANN Search](/v3.7.0/performance-features/index-for-ann-search.md)
{% endcontent-ref %}

{% content-ref url="/pages/K9qimPNhP6GEAAQ41OSr" %}
[Managed Tensor Database](/v3.7.0/performance-features/managed-database.md)
{% endcontent-ref %}