Viewing profile — stavrospap

Stavros from TileDB here (Founder and CEO). I thought of requesting some feedback from the community on this blog. It was only natural for a multi-dimensional array database like T…

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 t…

Disclosure: I am the author of this article and the Founder/CEO of TileDB. The article touches upon some important and rather thought provoking issues around data management, so I …

TileDB Embedded is a storage engine like HDF5, with the following differentiators: (1) it is cloud-native, (2) it supports also sparse arrays, (3) it offers rapid updates, (4) it s…

TileDB and Hail are rather complementary. We have customers that use TileDB to store and manage their variants, and Hail to perform GWAS (by exporting from TileDB to Hail format). …

This is an API issue with TileDB-VCF. The core TileDB library supports inserts/appends/overwrites without issues and we just need to expose those operations in the TileDB-VCF APIs.…

Stavros from TileDB here. Great description of the genomics use case for TileDB. We'd be interested in learning what limitations you've found. Happy to discuss over email as well (…

Folks, apologies, but I think we got a bit side tracked here, TileDB does not suffer from the consistency issues mentioned above. Here is how TileDB performs a new (potentially con…

Efficient slicing happens because of "tiling", hence the name TileDB. A tile is similar to an HDF5 or Zarr "chunk", or more loosely to a Parquet page. Although totally configurable…

Full developer docs here: https://docs.tiledb.com/main/ Specific dataframe examples coming up shortly.

Stavros form TileDB here. Here is a more verbose explanation. Up until before 2.0, TileDB was already powerful for the main applications we targeted at: geospatial and genomics. Th…

Thanks for the post!

Stavros from TileDB here. TL;DR, it's all about fast slicing on multiple columns while supporting updates, locally or in the cloud. Suppose you serialize your dataframe in HDF5 or …

Thank you! We hear you on the webpage messaging, and we are ramping up our efforts on that front. We are also planning on publishing a series of technical blog posts, aiming to cla…

Hi all, we'd love to hear your thoughts about TileDB ( https://github.com/TileDB-Inc/TileDB ), which offers the key advantages of both HDF5 and Zarr, such as chunked dense arrays, …

TileDB, Inc. | Full-Time | REMOTE | USA | Greece | https://tiledb.com TileDB, Inc. is a data management company spun out of Intel Labs and MIT to help Data Science teams make faste…

TileDB, Inc. | Full-Time | Cambridge, MA, USA | Athens, Greece | REMOTE (USA only) | https://tiledb.io TileDB is a disruptive technology for storing and managing enormous volumes o…

Hey HN, Stavros from TileDB here. We are excited to announce this newest round of funding to help us continue the development on TileDB! There was some excellent discussion about T…