# TileDB-Inc/TileDB

The Universal Storage Engine

Repository: https://github.com/TileDB-Inc/TileDB
Canonical: https://ross.abutalabs.com/products/tiledb
Homepage: https://tiledb.com
Language: C++
License: MIT
License Family: permissive
Topics: tiledb, arrays, storage-engine, scientific-computing, data-analysis, hdfs, s3, s3-storage, data-science, sparse-data, dense-data, dataframes, sparse-arrays
Last push: 2026-07-01T11:31:28+00:00

## Health v2 (maintenance only)
Score: 86/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 90, release rhythm 72, longevity 100
- inputs: {"age_days": 3442, "days_push": 63, "days_rel": 189, "gap_med": 30, "n_releases_24m": 14}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2073, forks 214 (observed 2026-08-28T04:06:10.569354+00:00)

## What it is
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
- artifact type: library
- maturity: stable
- function: database, object-storage, compression, serialization, data-science
- domain: databases, data-science, big-data, cloud-computing, bioinformatics
- platform: windows, cpp, python, cross-platform, cloud
- tags: sparse-arrays, dense-arrays, storage-engine, multidimensional-arrays, dataframes, time-travel, s3, embeddable, geospatial, linux, macos

## Member repositories
- TileDB-Inc/TileDB (main) score 86

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:10.569354+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:56:27.636824+00:00, confidence not recorded.
  - readme: https://github.com/TileDB-Inc/TileDB (fetched 2026-08-28T04:06:10.569354+00:00, sha a312eb4ad4eb)
  - homepage: https://tiledb.com (fetched 2026-08-29T10:36:41.721571+00:00, sha afa5ed8e6bcc)
  - site_page: https://www.tiledb.com/about (fetched 2026-08-29T10:36:41.732754+00:00, sha b401eae97d64)
  - site_page: https://www.tiledb.com/pricing (fetched 2026-08-29T10:36:41.730906+00:00, sha bf2ab3cfbdd0)
  - site_page: https://cloud.tiledb.com/academy/home (fetched 2026-08-29T10:36:41.734383+00:00, sha a9457dda4e0e)
- Data as of 2026-08-30T08:39:29.467469+00:00.