roaramburu

7 ms·

1.
by roaramburu 2y ago
Full Disclosure: I'm a cofounder at Voltron Data. This is such a good post. I'm pretty humbled by your words about us being "everywhere that's of interest" and that "we're highly respected." It's
2.
GPU SQL Engine Processes 10 Terabytes in Seconds (From Disk)(medium.com)
4 points by roaramburu 6y ago|0 comments
3.
by roaramburu 6y ago
Howdy, full disclosure I'm the CEO at BlazingSQL (BSQL). I'm not incredibly familiar with Ares save the linked article, but we aren't a DBMS or manage data in any way. BlazingSQL is a SQL engine, it's easier to think of
4.
by roaramburu 6y ago
GoAi was to get GPU developers on the same page and to work together to build an ecosystem for analytics on GPUs. RAPIDS is a project that was born out of GoAi to bring that ecosystem to Python. It is built on Apache Arrow (although on GPU
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Querying a Terabyte with BlazingSQL on GPUs(blog.blazingdb.com)
5 points by roaramburu 7y ago|0 comments
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Can You Fit a Distributed SQL Engine into a Python Package?(blog.blazingdb.com)
1 points by roaramburu 7y ago|0 comments
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BlazingSQL Running DB Benchmark from Google Cloud Storage(blog.blazingdb.com)
4 points by roaramburu 7y ago|0 comments
8.
by roaramburu 7y ago
So, the part that confuses me with this argument is we live in an Intel world where they have 98% market share in servers. So we're already at the whim of a single company. Why not challenge that dominance?
9.
The Data Center Reimagined: GPUDirect Enables Petabyte Scale Analytics(towardsdatascience.com)
17 points by roaramburu 7y ago|1 comments
10.
by roaramburu 7y ago
Distributed is getting released in the next few days, I've been playing with it over the past week. Right now we use k8s on Google K8s Engine(GKE) to deploy in distributed mode. We don't supported nested at present, there are Rapi
11.
by roaramburu 7y ago
Tons of benchmarks at blog.blazingdb.com Check it out, it's fast.
12.
by roaramburu 7y ago
Yeah, we were totally ignorant on PartiQL until your post. Although now looking at it, looks boss! Totally agrees with many of our theses, and there looks to be a lot to glean from this project as well.
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by roaramburu 7y ago
Also! We have a guy in Lima pushing out some GIS work into cuDF and BlazingSQL too.
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by roaramburu 7y ago
Not a stupid question. The reason is priorities, but definitely our ideal to do predicate push down and join databases to files, streams, etc.
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BlazingSQL is Now Open Source(blog.blazingdb.com)
307 points by roaramburu 7y ago|64 comments
16.
by roaramburu 7y ago
FYI you can run the queries in this post through the Google Colab link. I work at BlazingDB btw. https://colab.research.google.com/drive/1EbPE9FwFur7fE2054BH...
17.
by roaramburu 8y ago
Sorry, didn't have it available easily. You can see it here: https://www.blazingdb.com/#/eula Our open source code (the compute kernels, GPU DataFrame, etc.) is part of RAPIDS AI. You can see source and license he
18.
by roaramburu 8y ago
There is, this demo is done with CSV's b/c we can't read Apache Parquet files with strings yet (changing very very very soon). You can check out how here: https://docs.blazingdb.com/docs/database-administ
19.
by roaramburu 9y ago
Thanks Todd! We always appreciate the support and and also look forward to collaborating on GOAI and anything else that might come up!