Viewing profile — breckognize
breckognize
HN member- Joined
- Mon, Aug 03, 2009, 2:25 PM UTC
- HN karma
- 526
- Public activity
- 69 items
- HN profile
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About breckognize
Previously worked on S3
Recent public activity
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Comment #48761938
Under the hood, S3's storage nodes are also built on a log-structured file system: https://cdn.amazon.science/77/5e/4a7c238f4ce890efdc325df8326... (Not posix compliant because it d…
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Show HN: We built a billion row spreadsheet
We're former AWS S3 engineers. Row Zero is "Google Sheets on steroids". We built it because we were frustrated with Excel's 1 million row limit and poor integration with cloud data…
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Comment #46192618
Shameless plug: Row Zero has real enterprise traction. AWS uses us. 2B row limit, connected, eliminates the Excel security risk because it's hosted.
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Comment #44825028
Kinda related - our product, rowzero.io, is a browser-based spreadsheet with a 2 billion row limit. We initially built the client as anyone would, using a div per cell. We tried to…
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Comment #44780895
It's worth noting the author led the implementation of the file system at the bottom of S3.
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Comment #44309995
And depth first search is just a stack!
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Comment #42257105
To measure performance the author looked at latency, but most S3 workloads are throughput oriented. The magic of S3 is that it's cheap because it's built on spinning HDDs, which ar…
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Comment #42027609
You should check out Row Zero ( https://rowzero.io ). We launched on HN earlier this year. Our CSV handling is the best on the market. You can import multi GB csvs, we auto infer y…
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Comment #41344213
I've been working on a better spreadsheet for a while now. https://rowzero.io is 1000x faster spreadsheet than Excel/Google Sheets. It looks and feels like those products but can o…
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Comment #40822436
Similar to Amazon's Retail fulfillment infrastructure, the AWS supply chain infrastructure is definitely not a commodity.
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Comment #40680980
We have private hosting available (in your VPC) for enterprise customers.
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Comment #40680927
My apologies, that came off harsher than I intended. I've used xlwings in previous jobs to complete Excel automation tasks, so thank you for building it. xlwings is one of the proj…
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Comment #40677467
We have some development desktop builds working. Is it something you'd pay for?
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Comment #40677183
We built our spreadsheet ( https://rowzero.io ) from the ground up to integrate natively with Python. Bolting it on like Microsoft did, or as an add in like xlwings, just feels sec…
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Comment #40582111
I think calling out Durability is a bit of a straw man. Most services get their durability from S3 or some other managed database service. So they're really only making the "do it …
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Comment #40558880
If you like spreadsheets, check out https://rowzero.io . It looks and feels like Google Sheets and scales to 1B+ row data sets. We natively support Python and Parquet, and connect …
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Comment #40491553
99.9%+ of data sets fit on an SSD, and 99%+ fit in memory. [1] This is the thesis for https://rowzero.io . We provide a real spreadsheet interface on top of these data sets, which …
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Comment #40291005
Shameless plug: If you have bigger data sets, check out https://rowzero.io We scale up to hundreds of millions of rows and have native Python support. You can define functions in P…
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Comment #40193853
You should try http://rowzero.io . We connect directly to DBs and data warehouses, support Python natively, and scale up to hundreds of millions of rows. Lots of people use us for …
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Comment #40191523
Kudos on the technical achievement. We considered the thick client approach you're doing, and one of the reasons we punted was because it was so hard. One really nice thing about y…
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Comment #40191324
Shameless plug: If you have bigger data sets, check out rowzero.io. We implemented something like PySheets initially where the formula language was full Python. But we found the Py…
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Comment #39895722
Graph of Daniel vs time: https://rowzero.io/workbook/CA82F353F7060CA9411A12EB
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Comment #39885582
When I worked on S3, I was briefly responsible for reporting waste in the system. The basic equation was [Total Capacity of Hard Drives] - [# of bytes customers are paying for] * […