# High-Performance Features

- [Introduction](https://docs-v3.activeloop.ai/v3.8.19/performance-features/introduction.md): C++ implementations of Deep Lake optimized for faster data fetching and computations
- [Performant Dataloader](https://docs-v3.activeloop.ai/v3.8.19/performance-features/performant-dataloader.md): Overview of Deep Lake's dataloader built and optimized in C++
- [Tensor Query Language (TQL)](https://docs-v3.activeloop.ai/v3.8.19/performance-features/querying-datasets.md): Deep Lake offers a highly-performant SQL-style query engine for filtering your data.
- [TQL Syntax](https://docs-v3.activeloop.ai/v3.8.19/performance-features/querying-datasets/query-syntax.md): How to properly format TQL queries
- [Sampling Datasets](https://docs-v3.activeloop.ai/v3.8.19/performance-features/querying-datasets/sampling-datasets.md): Implementation of samplers in TQL
- [Deep Memory](https://docs-v3.activeloop.ai/v3.8.19/performance-features/deep-memory.md): Overview of Deep Lake tools for increasing retrieval accuracy
- [How it Works](https://docs-v3.activeloop.ai/v3.8.19/performance-features/deep-memory/how-it-works.md): Understanding Deep Memory
- [Index for ANN Search](https://docs-v3.activeloop.ai/v3.8.19/performance-features/index-for-ann-search.md): Overview of Deep Lake's Index implementation for ANN search.
- [Caching and Optimization](https://docs-v3.activeloop.ai/v3.8.19/performance-features/index-for-ann-search/caching-and-optimization.md): Understanding Caching to Increase Query Performance in Deep Lake
- [Managed Tensor Database](https://docs-v3.activeloop.ai/v3.8.19/performance-features/managed-database.md): Deep Lake Managed Database
- [REST API](https://docs-v3.activeloop.ai/v3.8.19/performance-features/managed-database/rest-api.md): How to Use the Deep Lake REST API
- [Migrating Datasets to the Tensor Database](https://docs-v3.activeloop.ai/v3.8.19/performance-features/managed-database/migrating-datasets-to-the-tensor-database.md): Migrating datasets to the Tensor Database


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