TileDB-Inc/TileDB

Health v2 · maintenance only

Adoption not part of the score

2073 stars · 214 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

TileDB is an embeddable C++ storage engine for dense and sparse multi-dimensional arrays, with cloud object storage support (S3, GCS, Azure) and APIs for Python, R, and more. It handles dataframes, key-value stores, versioning, compression, encryption, and parallel IO for scientific and analytical workloads.

Use cases

• store and query sparse multi-dimensional arrays
• manage large scientific datasets on S3
• version array data with time travel
• store dataframes for data science workflows
• build genomics or geospatial data pipelines
• compress and encrypt large array datasets

When to choose

• you need efficient storage of dense or sparse multi-dimensional array data
• you want cloud-native array storage with S3/GCS/Azure backends
• you work in genomics, geospatial, or finance with large array datasets
• you need data versioning and rapid updates on array data

When to avoid

• you need a general-purpose relational database with SQL joins
• your data is primarily unstructured documents or text
• you need a fully managed hosted database without self-managed libraries
• your workload is small-scale key-value storage better served by simpler tools

Facets

library · maturity stable

database object-storage compression serialization data-science databases data-science big-data cloud-computing bioinformatics windows cpp python cross-platform cloud sparse-arrays dense-arrays storage-engine multidimensional-arrays dataframes time-travel s3 embeddable geospatial linux macos

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