TileDB | hn-search | |
---|---|---|
14 | 1,643 | |
1,774 | 525 | |
1.6% | 0.4% | |
9.7 | 2.9 | |
about 23 hours ago | 7 months ago | |
C++ | TypeScript | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
TileDB
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Ask HN: Who is hiring? (May 2024)
TileDB, Inc. | Full-Time | REMOTE | USA, Greece/EU | [https://tiledb.com](https://tiledb.com/)
TileDB has recently announced a $34 million Series B fund-raise and is actively hiring for engineers across a range of roles (SRE, backend/distributed systems, database internals, and more). You will have the opportunity to work on innovative technology that creates impact for challenging problems in genomics, geospatial, machine learning, distributed systems, and many other areas.
TileDB Cloud is the modern database, allowing developers and scientists to capture, analyze, and share any data with any tool. We build on a broad foundation of open source, maintaining the TileDB storage engine, libraries for genomics (single-cell and population), geospatial (raster, point clouds, and more), a TileDB visualization engine extending Babylon.js, and much more ([github.com/TileDB-Inc/TileDB](http://github.com/TileDB-Inc/TileDB))
With TileDB, all data — tables, genomics, images, videos, location, time-series — is captured as multi-dimensional arrays. To supercharge this data, TileDB Cloud implements a serverless infrastructure delivering query execution, access control, data and code sharing, and distributed computing at global scale — eliminating cluster management, minimizing TCO, and promoting scientific collaboration and reproducibility.
Website: [https://tiledb.com](https://tiledb.com/) | GitHub: https://github.com/TileDB-Inc/TileDB | Blog: https://tiledb.com/blog
We are actively hiring for several roles including:
- Site Reliability Engineer (k8s, Terraform, automation, Prometheus, CloudWatch, GitOps; Golang, Python)
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Ask HN: Who is hiring? (September 2023)
- single cell genomics: in collaboration with the Chan-Zuckerberg Initiative, we recently released TileDB-SOMA for single cell data, with APIs for both Python and R built around a common storage specification: https://tiledb.com/blog/tiledb-101-single-cell
With TileDB, all data — tables, genomics, images, videos, location, time-series — across multiple domains is captured as multi-dimensional arrays. TileDB Cloud implements a totally serverless infrastructure and delivers access control, easier data and code sharing and distributed computing at global scale, eliminating cluster management, minimizing TCO and promoting scientific collaboration and reproducibility.
Website: https://tiledb.com
GitHub: https://github.com/TileDB-Inc/TileDB
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Why TileDB as a Vector Database
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 TileDB to offer vector (i.e., 1D array) search capabilities. But the team managed to do it very well and the results surprised us. We are just getting started in this domain and a lot of new algorithms and features are coming up, but the sooner we get feedback the better.
TileDB-Vector-Search Github repo: https://github.com/TileDB-Inc/TileDB-Vector-Search
TileDB-Embedded (core array engine) Github repo: https://github.com/TileDB-Inc/TileDB
TileDB 101: Vector Search (blog to get kickstarted): https://tiledb.com/blog/tiledb-101-vector-search/
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Ask HN: Who is hiring? (August 2023)
TileDB, Inc. | Full-Time | REMOTE | USA | Greece | https://tiledb.com
TileDB is the database for complex data, allowing data scientists, researchers, and analysts to access, analyze, and share any data with any tool at global scale. We have just launched a vector search library leveraging TileDB and TileDB Cloud for powerful local search and seamless scaling to multi-modal organizational datasets and batched computation: https://tiledb.com/blog/why-tiledb-as-a-vector-database
With TileDB, all data — tables, genomics, images, videos, location, time-series — across multiple domains is captured as multi-dimensional arrays. Our vector search library and other offerings are designed to empower these datasets with 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, eliminating cluster management, minimizing TCO and promoting scientific collaboration and reproducibility.
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Ask HN: Who is hiring? (December 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, 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 !
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Historical weather data API for machine learning, free for non-commercial
Interesting. Have you come across TileDB before?
https://tiledb.com/
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Why isn’t there a decent file format for tabular data?
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)
* 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.
- Genomics data management reimagined. Analyze and share enormous variant datasets with TileDB Cloud.
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TileDB VS Activeloop hub - a user suggested alternative
2 projects | 20 Oct 2021
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Seeking options for multidimensional data storage
It could be worth checking out TileDB: https://github.com/TileDB-Inc/TileDB The entire system, down to the data format itself, is optimized around storing multi-dimensional arrays. It also supports timestamps and real numbers as dimensions, which could be handy given your example data. [Full disclosure: I currently work for TileDB.]
hn-search
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Rule of Thumb: Anything that looks fancy is not worth you time
- Ads with Psychological tricks
Truly good websites have around 2 facts per 10 word sentence, and get instantly to the chase. Also: good websites give you the names of all their competitors/alternative websites before showing their own stuff, and give you further reading.
Right now the world of technology is supposedly more innovative than ever, but somehow Wikipedia (https://www.wikipedia.org/) and Search Hackernews (https://hn.algolia.com/) beat billion dollar search engines.
Articles written decades ago are still unsurpassed in terms of quality and ease of understanding, but the best modern websites can do is textbook explanations. It is time society graduates from boilerplate buzzword textbook culture.
Now the gems of the internet are slowly being buried beneath mountains of trash.
If something sounds boilerplate it isn't good enough.
Don't bother saying something that has been said before, and better.
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What makes a translation great
>for more detail: https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu...
Oh, I see. We actually discussed Pound about four years ago - just a little back and forth about the ABC of Reading: https://news.ycombinator.com/item?id=24196681
>What's your explanation of why Pound went Fascist?
I'm not sure I particularly have one; I haven't read any of his longer political or cultural (i.e. non-literary) works. I just think it's silly to correlate an approach to translation that you dislike with fascism. Especially as I'm not sure it even makes sense on its own terms: I can only read your comment as 'lazy translator? Figures that he would be a fascist', but if I imagine the type of translation a fascist would approve of, the approach I picture is fastidious, fussy, concerned with fidelity to the point of stickler-ishness. (Isn't that from where we get 'grammar nazi'?)
And oh, well, since you ask I'll take a shy at it: my vague sense is that he became fascist because saw a society in decline due to it becoming more and more a sham society: opulence without virtue, power without vigour, money no longer tied to actually existing goods. (Of course, all of this shades easily into antisemitism.) He saw fascism as the answer; It's easier to see in retrospect that it wasn't.
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Zed Decoded: Linux When? – Zed Blog
"multiplayer notepad" goes back 15 years at least - https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu... notepad&sort=byDate&type=comment
it was used back with a popular website which opened a text document and anyone viewing could type, but I can't remember the name. That became a thing in Google Docs, Microsoft Office, Floobits, and lots of self-hosted and cloned sites.
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Louis Rossmann: YouTube's Legal Team sent me a letter [video]
If you see a post that ought to have been moderated but hasn't been, the likeliest explanation is that we didn't see it. You can help by flagging it or emailing us at [email protected].
https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu...
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An Oil Price-Fixing Conspiracy Caused 27% of All Inflation in 2021
Ok, but please don't post unsubstantive comments to Hacker News.
I understand the reason for repeating these sentiments—it's the same reason why they get upvoted to the top of threads*—but repetition of this kind is what we're most trying to avoid here.
https://hn.algolia.com/?dateRange=all&page=0&prefix=false&so...
https://news.ycombinator.com/newsguidelines.html
* I've marked this one off topic now.
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Validating app for manufacturers enhancing process reliability and efficiency
I was looking for it in the guidelines. There are a couple of conventions for postings. Consider a bit of prior examples: [https://hn.algolia.com/?q=show+hn]
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Show HN: Hacker Search – A semantic search engine for Hacker News
yeah there are only three stories coming up from the site search
https://hn.algolia.com/?q=postgres+clustering
only one is semanthically correct, the other pick up the wrong version of clustering (i.e. k-means instead of multi master writes)
but yeah if one doesn't test the hard cases, how does one know it preserves semantics :D
- Longevity of Recordable CDs, DVDs and Blu-Rays
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The Scientific Method Part 5: Illusions, Delusions, and Dreams
Like dismissing the work of Feyerabend or Wittgenstein without seemingly having read either:
https://hn.algolia.com/?dateRange=pastMonth&page=0&prefix=tr...
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Any Google Analytics Alternatives?
https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...
What are some alternatives?
ClickHouse - ClickHouse® is a free analytics DBMS for big data
duckduckgo-locales - Translation files for <a href="https://duckduckgo.com"> </a>
RocksDB - A library that provides an embeddable, persistent key-value store for fast storage.
v - Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
MongoDB C Driver - The Official MongoDB driver for C language
parser - 📜 Extract meaningful content from the chaos of a web page
LevelDB - LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
readability - A standalone version of the readability lib
libmdbx - One of the fastest embeddable key-value ACID database without WAL. libmdbx surpasses the legendary LMDB in terms of reliability, features and performance.
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
MongoDB Libbson
milkdown - 🍼 Plugin driven WYSIWYG markdown editor framework.