breckognize

7 ms·

1.
by breckognize 3mo ago
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 doesn't need to be.)
2.
Show HN: We built a billion row spreadsheet(rowzero.com)
1 points by breckognize 6mo ago|0 comments
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by breckognize 9mo ago
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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by breckognize 1y ago
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 use an off-screen div to take advantage of the browser&#x27
5.
by breckognize 1y ago
It's worth noting the author led the implementation of the file system at the bottom of S3.
6.
by breckognize 1y ago
And depth first search is just a stack!
7.
by breckognize 2y ago
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 are slow and unreliable individually, but when you h
8.
by breckognize 2y ago
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 your format, and land your data in a full-featured
9.
We verify the correctness of a spreadsheet engine(rowzero.io)
71 points by breckognize 2y ago|7 comments
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by breckognize 2y ago
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 open multi GB data sets, supports Pytho
11.
by breckognize 2y ago
Similar to Amazon's Retail fulfillment infrastructure, the AWS supply chain infrastructure is definitely not a commodity.
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by breckognize 2y ago
We have private hosting available (in your VPC) for enterprise customers.
13.
by breckognize 2y ago
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 projects that motivated me to start Row Zero. My main issue
14.
by breckognize 2y ago
We have some development desktop builds working. Is it something you'd pay for?
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by breckognize 2y ago
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 second class. To make it first class, we had to solve
16.
by breckognize 2y ago
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 on a beefy machine argument" for the stateles
17.
by breckognize 2y ago
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 directly to Postgres, Snowflake, Databricks, Reds
18.
by breckognize 2y ago
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 gives you all the richness and interactivity that
19.
by breckognize 2y ago
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 Python and call them as formulas from any spreads
20.
by breckognize 2y ago
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 dashboards.
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by breckognize 2y ago
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 your approach is it minimizes infrastructure cost. That
22.
by breckognize 2y ago
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 Python interpreter to be the bottleneck during (e.g.) large CS
23.
by breckognize 2y ago
Graph of Daniel vs time: https://rowzero.io/workbook/CA82F353F7060CA9411A12EB
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by breckognize 2y ago
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] * [Replication factor] = Waste One week as I was preparing the
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Dates do not produce enduring software(rowzero.io)
2 points by breckognize 2y ago|0 comments
26.
by breckognize 3y ago
rowzero.io
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by breckognize 3y ago
Founder of Row Zero here. We can handle it. We can scale your workbook to more memory/cores if the defaults aren't enough.
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by breckognize 3y ago
This is exciting. I hope Intuit gets what it deserves. Their obstruction of simplifying the tax code has gone on long enough.
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by breckognize 3y ago
Yes, which is what all the hyperscalers use for object storage. HDD seek time is ~10ms. Inter-az network latency is a few hundred micros.
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by breckognize 3y ago
Do you mean Google included "acts of God" when computing 9's? That's definitely not right. 11 9's of durability means mean time to data loss of 100 billion years. Nothing on earth is 11 9's durable in the face

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