Apache Cassandra, every mention

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Verbatim, from the transcripts: the passages where Apache Cassandra comes up

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▶ 13:48 Matt Turck How do you position, uh, against other databases or in particular Amazon or, or, you know, Cassandra or like, you know, that, that, those, um, that category of, of, uh, databases. 6 times in the scene

▶ 2:55 Justin Borgman Um, this is, uh, maybe a little hard for some of you guys to see, uh, but it shows at the top, uh, a variety of popular BI tools that you can connect to using ODBC or JDBC drivers, and on the bottom, a variety of data sources, and you'll…

▶ 3:02 Ajay Kulkarni There's Amazon, who published the Dynoa paper, and, and these really, you know, created the foundation for the, for the, the wave of the first commercial big data systems, which included Hadoop, Cassandra, and Mongo.
▶ 7:21 Ajay Kulkarni Technologies and companies like, you know, Hadoop and Cassandra and Mongo, we believe this new era is going to lead to another wave of foundational companies and technologies, and we believe, we believe time skill is poised to be one of…
▶ 9:23 Ajay Kulkarni As another example, you know, Cassandra, you know, is really, really well known for its scalability, but one thing we found is that for time series data, three time scale nodes was able to outperform a 30 node Cassandra cluster at one 10th… 2 times in the scene

▶ 15:39 Matt Turck So you've seen, uh, Cassandra doing their Cassandra query language, uh, Catchbase with their Nico language, and, and then you've seen Teradata on the, sort of, SQL world adding JSON support.
▶ 28:32 unnamed speaker Uh, competing with features of other NoSQL products, like Cassandra, or area number two, uh, helping people migrate from existing SQL, like for mission critical stuff, or third area of, uh, introducing novel features.

▶ 5:37 Shant Hovsepian So, there are lots of, we're very fortunate now, uh, Hadoop, Big Data, Mongo, Cassandra, the industry has really, really, really developed a lot, and we have a lot of amazing native tools that you can use for analytics.

▶ 23:10 M.C. Srivas So, so you have like, you know, couch guys don't like Mongo, Mongo doesn't like HBase, HBase doesn't like Cassandra, and all that stuff.

▶ 12:33 Spencer Kimball It's something that Cassandra uses, for example, in React and several others.

▶ 2:32 Joseph Essas Uh, all of our events flowing through Kafka, they've been populated into Cassandra, which then we run Spark instances that kind of model on top of the data.

▶ 3:22 Paul Dix So then the other, the other thing you think is, okay, well, let's use HBase or Cassandra or some distributed database where we can actually just use an entire cluster of machines. 7 times in the scene
▶ 7:47 Paul Dix You don't have to install Zookeeper or Cassandra or some other thing to actually get it to work.

▶ 3:47 Tobi Knaup There was Cassandra and a couple of other
▶ 14:35 Tobi Knaup Um, so they're running Kafka, and Cassandra, and Presto, which is, um, you know, a SQL query engine out of Facebook.

▶ 6:02 Mike Dauber What are the equivalents on the big data side that solve a problem that presents itself as an application where the end user doesn't have to know what Hadoop or Voldemort or Cassandra or Mongo or any of these, ah, alphabet soup of terms…

▶ 41:33 Justin Borgman So other non-relational databases like Cassandra and like just other NoSQL?

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