TileDB is a multi-dimensional array management system which uses an on-disk format that can store dense and sparse array data with support for fast updates. The current open-source version of TileDB functions as a storage layer, connecting user applications to storage backend.[04][05]
- Website
- https://tiledb.io[01]
- Source Code
- https://github.com/TileDB-Inc/TileDB[02]
- Tech Docs
- https://docs.tiledb.io/en/stable[03]
- @tiledb
- Developers
- Country of Origin
- US
- Start Year
- 2017 [06]
- Project Types
- Commercial, Open Source
- Written in
- C++
- License
- MIT License
History[06]
TileDB was invented at the Intel Science and Technology Center for Big Data. The research center was a collaboration between Intel Labs and MIT. The research project was published in a VLDB 2016 paper. TileDB, Inc. was founded in February 2017 to further develop and maintain the DBMS.
Compression[05]
TileDB supports the following compressors: GZIP, Zstandard, LZ4, RLE, Bzip2, and Double-delta. Double-delta is a compressor created for TileDB, and is similar to Facebook's Gorilla system.
Concurrency Control[07]
TileDB provides no transactional support in the current version. It only guarantees atomic reads and writes. TileDB allows users to build a transactional manager on top for concurrency control.
Data Model[08][05]
TileDB uses a multi-dimensional array format that handles both sparse data and dense data. An array is composed of fragments, where each fragment is an array snapshot containing cells written in that write operation. Fragments can be categorised into sparse fragments and dense fragments. Sparse fragments store their elements in a global order. Dense fragments store their elements into regularised chunks in the index space.
Isolation Levels[07]
TileDB provides no transaction support in the current version, and no isolation could be guaranteed.
Query Interface[09][10]
TileDB supports API for the following languages: SQL, C, C++, Python, Java, R, and Go. TileDB Python API is under further development, and subject to change.
Storage Architecture[03]
TileDB uses a disk-oriented storage format that can store dense and sparse array data and support fast updates.
GenomicsDB
Citations
12 sources- https://tiledb.io tiledb.io
- https://github.com/TileDB-Inc/TileDB github.com
- https://docs.tiledb.io/en/stable tiledb.io
- https://docs.tiledb.io/en/stable/index.html tiledb.io
- Academy • TileDB tiledb.com
- Academy • TileDB tiledb.io
- Questions about tileDB features - TileDB Forum tiledb.com
- https://people.csail.mit.edu/stavrosp/papers/vldb2017/VLDB17_TileDB.pdf mit.edu
- https://tiledb.io/press/tiledb-presto tiledb.io
- Academy • TileDB tiledb.com
- https://docs.tiledb.io/en/stable/introduction.html?highlight=distributed tiledb.io
- https://tiledb.io/about tiledb.io