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TileDB-Inc
TileDB
C++2018–2026
TileDB-Inc / TileDB

TileDB

The Universal Storage Engine

Science & EngineeringData & Databases
Explore on GitHubRead Hacker News discussions
5Distinct people
26Mentions
0Explicit recommenders
2.1KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

The Universal Storage Engine

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 10:49:33 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year26 dated mentions

Observed mentions: 2018-04-02 17:38:10 UTC to 2026-01-16 00:17:08 UTC.

02462018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 5 mentions; 0 submissions, 5 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 6 mentions; 0 submissions, 6 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 7 mentions; 0 submissions, 7 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC303
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC505
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC606
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC303
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC707
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC101
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC000
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC101

What Hacker News says

3 sources
Shelnutt2·Dec 2, 2022
TileDB, Inc. | Full-Time | REMOTE | USA | Greece | https://tiledb.com TileDB transforms the lives of analytics professionals and data scientists with a universal database, allowing them to access, analyze, and share any data with any tool at global scale. TileDB unifies the way we think about data, delivering superior performance and foundational data management capabilities. All data — tables, genomics, images, videos, location, time-series — across multiple domains is captured as multi-dimensional arrays. TileDB offers extreme interoperability via numerous APIs and tool integrations across the data science ecosystem, eliminating the hassles and inefficiencies of data conversion. TileDB Cloud implements a totally serverless infrastructure and delivers access control, easier data and code sharing and distributed computing at global scale,
Read the rest
eliminating cluster management, minimizing TCO and promoting scientific collaboration and reproducibility. TileDB, Inc. was spun out of MIT and Intel Labs in May 2017 and is backed by Two Bear Capital, Nexus Venture Partners, Uncorrelated Ventures, Intel Capital and Big Pi. Recent HN article: https://news.ycombinator.com/item?id=23896131 Website: https://tiledb.com GitHub: https://github.com/TileDB-Inc/TileDB Docs: https://docs.tiledb.com Blog: https://tiledb.com/blog Our headquarters are located in Cambridge, MA and we have a subsidiary in Athens, Greece. We offer the ability to work remotely. If you are located outside of the USA and Greece we have options to accommodate this, don't hesitate to apply! We have several open positions aimed at increasing TileDB’s feature set, growth and adoption. You will have the opportunity to work on innovative technology that creates impact on challenging and exciting problems in Genomics, Geospatial, Time Series, and more. Immediate features on the roadmap for TileDB Cloud include, advanced distributed computations, advanced computation pushdown, improved multi-cloud deployments and more. We are actively seeking: - Senior Golang Engineer - Senior Python Engineer - Site Reliability Engineer - React Frontend Engineer Apply today at https://tiledb.workable.com !
In Ask HN: Who is hiring? (December 2022)
Shelnutt2·Jun 1, 2022
TileDB, Inc. | Full-Time | REMOTE | USA | Greece | https://tiledb.com TileDB transforms the lives of analytics professionals and data scientists with a universal database, allowing them to access, analyze, and share any data with any tool at global scale. TileDB unifies the way we think about data, delivering superior performance and foundational data management capabilities. All data — tables, genomics, images, videos, location, time-series — across multiple domains is captured as multi-dimensional arrays. TileDB offers extreme interoperability via numerous APIs and tool integrations across the data science ecosystem, eliminating the hassles and inefficiencies of data conversion. TileDB Cloud implements a totally serverless infrastructure and delivers access control, easier data and code sharing and distributed computing at global scale,
Read the rest
eliminating cluster management, minimizing TCO and promoting scientific collaboration and reproducibility. TileDB, Inc. was spun out of MIT and Intel Labs in May 2017 and is backed by Two Bear Capital, Nexus Venture Partners, Uncorrelated Ventures, Intel Capital and Big Pi. Recent HN article: https://news.ycombinator.com/item?id=23896131 Website: https://tiledb.com GitHub: https://github.com/TileDB-Inc/TileDB Docs: https://docs.tiledb.com Blog: https://tiledb.com/blog Our headquarters are located in Cambridge, MA and we have a subsidiary in Athens, Greece. We offer the ability to work remotely. If you are located outside of the USA and Greece we have options to accommodate this, don't hesitate to apply! We have several open positions aimed at increasing TileDB’s feature set, growth and adoption. You will have the opportunity to work on innovative technology that creates impact on challenging and exciting problems in Genomics, Geospatial, Time Series, and more. Immediate features on the roadmap for TileDB Cloud include, expanded marketplace functionality, advanced computation pushdown, improved multi-cloud deployments and more. We are actively seeking: - Senior Golang Engineer - Senior C# Engineer - Site Reliability Engineer Apply today at https://tiledb.workable.com !
In Ask HN: Who is hiring? (June 2022)
stavrospap·May 4, 2022
Hi folks, Stavros from TileDB here. Here are my two cents on tabular data. TileDB (Embedded) is a very serious competitor to Parquet, the only other sane choice IMO when it comes to storing large volumes of tabular data (especially when combined with Arrow). Admittedly, we haven’t been advertising TileDB’s tabular capabilities, but that’s only because we were busy with much more challenging applications, such as genomics (population and single-cell), LiDAR, imaging and other very convoluted (from a data format perspective) domains. Similar to Parquet: * TileDB is columnar and comes with a lot of compressors, checksum and encryption filters. * TileDB is built in C++ with multi-threading and vectorization in mind * TileDB integrates with Arrow, using zero-copy techniques * TileDB has numerous optimized APIs (C, C++, C#, Python, R, Java, Go)
Read the rest
* TileDB pushes compute down to storage, similar to what Arrow does Better than Parquet: * TileDB is multi-dimensional, allowing rapid multi-column conditions * TileDB builds versioning and time-traveling into the format (no need for Delta Lake, Iceberg, etc) * TileDB allows for lock-free parallel writes / parallel reads with ACID properties (no need for Delta Lake, Iceberg, etc) * TileDB can handle more than tables, for example n-dimensional dense arrays (e.g., for imaging, video, etc) Useful links: * Github repo (https://github.com/TileDB-Inc/TileDB) * TileDB Embedded overview (https://tiledb.com/products/tiledb-embedded/) * Docs (https://docs.tiledb.com/) * Webinar on why arrays as a universal data model (https://tiledb.com/blog/why-arrays-as-a-universal-data-model) Happy to hear everyone’s thoughts.
In Why isn’t there a decent file format for tabular data?

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