hookdeck-cli VS TileDB

Hookdeck | https://hookdeck.com| Remote- CAN | Backend DevOPs

We are seeking an experienced Backend/DevOps professional who has a passion for working with and optimizing databases, and who has hands-on experience with high concurrency and high throughput systems. We are a small team of 9, operating completely remotely and without a schedule.

We help developers spend less building and troubleshooting issues with their webhooks to focus on their products instead. We offer a complete infrastructure to develop, test, receive, distribute and monitor webhooks and asynchronous events.

If you are looking to be part of an early founding team, fully leverage your knowledge & talent, have an impact and work on hard scaling and concurrency challenges then this might be for you.

We are offering competitive compensation & generous stock options. Here are the roles that are currently open:

- Backend/ Dev OP (must be in Canada)

Hookdeck | Growth Engineering Team | Remote | https://hookdeck.com/

Hookdeck is building out the Growth Engineering team to help us improve the user experience across the entire funnel. We are a small team of 9, operating completely remotely and without a schedule.

We help developers spend less building and troubleshooting issues with their webhooks to focus on their products instead. We offer a complete infrastructure to develop, test, receive, distribute and monitor webhooks and asynchronous events.

If you are looking to be part of an early founding team, fully leverage your knowledge & talent, have an impact and work on hard scaling and concurrency challenges then this might be for you.

We are offering competitive compensation & generous stock options. Here are the roles that are currently open:

- Growth Engineer

Hookdeck (https://hookdeck.com) | Product Eng, Growth Eng, Backend Eng | Full-Time | Remote (World)

Hookdeck is an infrastructure to consume webhooks simply & reliably. Incoming webhooks are challenging because they require a well-built (and often complex) asynchronous system. We help developers spend less building and troubleshooting issues with their webhooks to focus on their products instead. We offer a complete infrastructure to develop, test, receive, distribute and monitor webhooks and asynchronous events.

If you are looking to be part of a early stage team, fully leverage your knowledge & talent, have an impact on the product experience and implement features from scratch then this might be for you!

We are offering competitive compensation, generous stock options and liberty over your geo & schedule.

We are looking forward to hearing from you! Email me at [email protected]

Shameless plug: if you like the development experience of webhooks at Stripe we offer the same experience on our platform at https://hookdeck.com/ which you can drop in to help you add reliability and a better developer experience to receiving webhooks from anywhere.

This is a fantastic resource! Thank you to the folks at ngrok for putting this together! As this site makes clear: webhooks are harder than they appear. Even just consuming webhooks it's easy to get bogged down dealing with issues around rate limits or recovering from bugs that cause missed events! Missed events being particularly painful with platforms that don't offer replay / retry.

Disclaimer: I work at https://hookdeck.com/ & I shamelessly plug our tool for giving you an awesome developer experience working with webhooks and helping deal with some of the concerns brought up on webhooks.fyi.

And if you are interested in webhooks at large a couple more resources worth checking out is the awesome-webhooks[1] list and the r/webhooks[2] subreddit (I just got ownership of the sub and started dusting it off this week after being neglected for the past few years! Please, come join!)

[1] https://github.com/realadeel/awesome-webhooks

[2] https://www.reddit.com/r/webhooks/

and then went throught the codebase: https://github.com/hookdeck/hookdeck-cli

Might I recommend Hookdeck as well?

https://hookdeck.com/

Very very useful for handling webhooks and making working with them including locally a pleasure.

- 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

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/

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.

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 !

Interesting. Have you come across TileDB before?

https://tiledb.com/

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.

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.]

TileDB, Inc. | Full-Time | REMOTE | USA | Greece | https://tiledb.com

TileDB, Inc. is the company behind TileDB, the first universal data engine. TileDB allows analytics professionals and data scientists to access, analyze, and share complex data sets with any tool at extreme scale. TileDB overcomes the constraints of columnar tables, flat files, and SQL-only tools, handling all data with a multi-dimensional array engine and extreme interoperability across the data science ecosystem. TileDB Cloud is a totally serverless offering of TileDB, which delivers access control and enables distributed computing at planet-scale, eliminating all cluster management and minimizing cost. TileDB, Inc. was spun out of MIT and Intel Labs in May 2017 and closed a $15M Series A in July 2020, following a previous $4M Seed Round.

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, but the candidates must reside either in the US or in Greece. US candidates must be US citizens, whereas Greek candidates must be Greek or EU citizens.

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. A few features on the roadmap include enhancing our TileDB Cloud offering, optimizing our serverless framework, improving integration with JupyterLab, and expanding our marketplace functionality.

We are primarily seeking:

- Senior Golang Engineer

Apply today at https://tiledb.workable.com !