Apache Storm, every mention
10 scenes across 2 shows · ← back to Apache Storm
tap a year for its mentions
the MAD Podcast 16
the a16z Podcast 2
every year every show the MAD Podcast 16 the a16z Podcast 2
Verbatim, from the transcripts: passages where Apache Storm comes up on the MAD Podcast, the a16z Podcast
Fireside Chat: Arjun Narayan (Founder & CEO, Materialize) with Matt Turck (Partner, FirstMark)
- ▶ 13:27 Arjun Narayan Like, in before, in this sort of pre-timely data flow world, there existed stream processors like Apache Storm, but they fundamentally posed a trade-off.
Chandra Krintz
- ▶ 11:52 Chandra Krintz Now there's a lot of challenges associated with this because most things, Hadoop, Spark, Storm, they think they're running by themselves.
- ▶ 12:22 Chandra Krintz The, the, the, these, these technologies like Spark and Hadoop and Storm and, uh, even AppScale and Eucalyptus were designed for super large scale.
Ion Stoica, Databricks // Creating Apache Spark // Data Driven NYC (FirstMark Capital)
- ▶ 11:23 Ion Stoica Because if you look at the alternatives, what you are going to do, you want streaming, you are going to do storm, ok, ah, you want a batch, of course, Hadoop is still a very great, ah, batch engine. 2 times in the scene
- ▶ 12:07 Matt Turck And to take just one of the, one of the things you mentioned, um, so maybe contrast Spark streaming with Storm, which also does micro-batching. 3 times in the scene
- ▶ 22:24 Ion Stoica You don't need to have, okay, you know, closure for storm, and Java for Spark, and, and so forth, right? 4 times in the scene
Tobi Knaup, Mesosphere // Data Driven #29 // Sep 2014 (Hosted by FirstMark Capital)
- ▶ 5:32 Tobi Knaup And, ah, we call those native Mesos apps, and, and examples for those are a lot of the big data tools that you're probably familiar with, like Spark, and Storm, and Hadoop, and so on.
- ▶ 9:32 Tobi Knaup MPI, Spark, Storm, and a couple of other things that might be less well known.
- ▶ 20:47 Tobi Knaup Hence, you already have a concept of nodes in, in Storm or in Spark and whatever, so you're already, you're still thinking about virtual servers in some sense. 3 times in the scene
Panel discussion // Data Driven NYC #13 // Dec 2012
- ▶ 11:47 Oren (Sqrrl) I think, ah, most of the technologies, ah, we talked about, you know, have, ah, lots of open source components to it, certainly like Storm, and, ah, Cumulo, and Patchy Software Foundation.