Elasticsearch, every mention
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every year anyone Matt Turck 11Peter Fenton 7Ben Johnson 7Jon Hyman 6Mike Volpi 4Zach Sherman 3Aaron Katz 3Sean Gourley 2Nancy Xu 2Johnny Graettinger 2
Verbatim, from the transcripts: the passages where Elasticsearch comes up
Rewriting Success: What InfluxDB 3.0 Teaches About Scaling—and Scrapping—Your Core Tech
- ▶ 14:39 Evan Kaplan And I would say the same for all the specialty databases, whether it's Elastic, whether it's Neo-for-J, um, I'm not sure how I feel about the vector databases, but whatever these open source category leaders are, um, they have to find a…
Top AI Researcher on GPT 4.5, DeepSeek and Agentic RAG | Douwe Kiela, CEO, Contextual AI
- ▶ 22:45 Douwe Kiela Or Elastic, or that kind of stuff. 2 times in the scene
AI at ZoomInfo: Superpowering GTM teams | Ali Dasdan, CTO, ZoomInfo
- ▶ 19:48 Ali Dasdan There's also some elastic used for different purposes. 2 times in the scene
How ClickHouse powers Netflix, Uber and Spotify’s Analytics | Aaron Katz, CEO of ClickHouse
- ▶ 8:39 Aaron Katz So specifically, that's how I first encountered ClickHouse when I was at Elastic, the company behind Elasticsearch.
- ▶ 15:12 Aaron Katz I mean, I, my career started at Sun Microsystems in the, in the late nineties, and then I went to PeopleSoft, and then I spent 12 years at Salesforce, and then it wasn't until Elasticsearch
- ▶ 26:11 Aaron Katz Um, and then for observability workloads, we see companies migrate off of, depending on the use case, Prometheus, Elasticsearch, uh, and other popular backends for those types of workloads.
Moonhub’s Nancy Xu Unveils the AI Recruiter That’s Beating LinkedIn
- ▶ 12:40 Nancy Xu So we have, for example, structured data stores, like you're more saying, um, things like Elasticsearch, we have vector data stores, um, and we use various other kinds of data stores as well.
- ▶ 31:21 Nancy Xu Um, but it's actually not as good for some things that perhaps are more like your traditional elastic search type problems.
From NLP Start-Up to Generative-AI Platform: Milos Rusic (deepset) Unpacks Product-Market Fit
- ▶ 13:51 Milos Rusic We also support, um, let's say more traditional databases with vector capabilities like OpenSearch, ElasticSearch.
Why Vector Databases Are Exploding: Chroma Co-Founder Jeff Huber on Building AI-Native Infra
- ▶ 9:39 Jeff Huber So in the same way that Elastic, uh, for those of you that are familiar with TextSearch, Elastic picked up Lucene, made it developer-friendly, they made it distributed, Chroma picks up some of these ANN algorithms, go to a detail what that… 2 times in the scene
Long Term Memory for AI with Pinecone Founder & CEO, Edo Liberty
- ▶ 17:05 Edo Liberty I don't know whoever tried to truly optimize like, uh, like an elastic search cluster.
Not Just Another Cloud Database | SurrealDB Co-Founders Jaime & Tobie Morgan Hitchcock
- ▶ 12:42 Jaime & Tobie Morgan Hitchcock So effectively similar functionality to Elasticsearch, but right within our database.
Build Fast APIs Faster Over Data at Scale | Tinybird Founder & CEO Jorge Gomez Sancha
- ▶ 3:49 Jorge Gomez Sancha So, to build search, you don't necessarily need elastic search.
A Cloud SQL Database Built for Survival | Cockroach CEO & Co-Founder, Spencer Kimball
- ▶ 27:00 Spencer Kimball So they really went after Elasticsearch.
Building Real-Time Data Pipelines | Estuary's Johnny Graettinger
- ▶ 4:33 Johnny Graettinger So we built ones already for talking to things like analytics warehouses or cloud storage or tools like elastic that are, you know, more operational in nature, or, uh, in this case, the humble Google sheets.
- ▶ 10:26 Johnny Graettinger So for example, if, uh, we want to say, like say we've got a bunch of product information in our database and we want to add a new search capability to our website, we can just materialize tables into elastic, elastic search.
NLP—The Most Important Field of ML // Clement Delangue, Hugging Face (FirstMark's Data Driven NYC)
- ▶ 20:03 Clement Delangue Um, especially in New York, actually, uh, with, with people like, uh, Elastic, for example, which is also another good example.
Fireside Chat: Mike Volpi, General Partner, Index Ventures (FirstMark's Data Driven NYC)
- ▶ 2:44 Mike Volpi And he said, we use this plastic, this software called Elasticsearch. 2 times in the scene
- ▶ 9:47 Matt Turck Amazon created this, um, their distribution of Elasticsearch.
- ▶ 14:09 Mike Volpi In Elasticsearch eventually did ELK and then a bunch of other stuff, but the, at the heart of it was Elasticsearch, and that was the only thing, when we invested, that's all they had, and then they co-opted the Kibana people, 2 times in the scene
What's Next for Open-Source Time Series Data? // Paul Dix, Influx Data (FirstMark's Data Driven NYC)
Apache Druid & An Introduction to Data Rivers // FJ Yang, Imply (FirstMark's Data Driven NYC)
Building Machines That Can Read and Write // Sean Gourley, Primer (FirstMark's Data Driven NYC)
- ▶ 16:35 Sean Gourley Yeah, you're playing between a few different databases, but if you try and do that on top of, like, an elastic search, you know, your joins that are going to emerge on top of the, um, the derived information are going to just slow that…
A New Kind of Logging System // Zach Sherman & Ben Johnson, Timber (FirstMark's Data Driven NYC)
- ▶ 2:18 Ben Johnson Uh, when we started timber, we were primarily based on elastic search. 4 times in the scene
- ▶ 4:01 Ben Johnson So, uh, being, uh, being real-time and processing this data was really important, and, uh, that was a real challenge with Elasticsearch. 2 times in the scene
- ▶ 5:16 Ben Johnson Uh, they started the elastic search, some other popular storage and created their own to handle their specific use case.
- ▶ 9:48 Zach Sherman Um, we have Elasticsearch, and we store 24 hours worth of data in Elasticsearch, which is great. 3 times in the scene
Data Pipelines at Braze // Jon Hyman, Braze (FirstMark's Data Driven)
- ▶ 11:36 Jon Hyman So what we've started doing fairly recently is collecting this data and then storing it in Elasticsearch. 2 times in the scene
- ▶ 12:00 Jon Hyman We have our application that is logging data at different decision points over to Kafka, and then we use Kafka Connect in order to just zip that right over to Elasticsearch. 3 times in the scene
- ▶ 14:18 Jon Hyman For those of you who have ever used Elasticsearch before,
- ▶ 15:11 Matt Turck So using Kafka and Elastic, that's awesome if you have a really strong tech team. 6 times in the scene
How to Train Your Search Engine // Parth Vasa, Bloomberg (FirstMark's Data Driven)
- ▶ 13:06 Matt Turck Why, why the choice of Solr as opposed to, I don't know, Elastic or other frameworks? 3 times in the scene
A Fireside Chat With MongoDB CTO Eliot Horowitz (Data Driven NYC / FirstMark)
- ▶ 25:54 Eliot Horowitz They did this for Elasticsearch a little while ago.
A Fireside Chat with Benchmark General Partner Peter Fenton (Data Driven NYC / FirstMark)
- ▶ 12:43 Peter Fenton So, so I, I actually got into Elastic Surge through, um, a collision of accidents, uh, investing in Spring Source.
- ▶ 16:07 Peter Fenton And, and, um, you know, what's different in the case of Cockroach versus, say, Elasticsearch is that Elasticsearch, like, lightning had struck, and it had been around for nine months, 2 times in the scene
- ▶ 21:13 Peter Fenton Platform-like status, and we believe we have that on Elasticsearch, where you look at the, you know, sheer scope of the product versus it being a niche little thing, and again, I don't want to pick on companies, but there's some 2 times in the scene
- ▶ 26:13 Matt Turck And I guess Elasticsearch is, well, Elastic is, falls in that category of such a great business that we're going to offer it ourselves.
- ▶ 47:24 Peter Fenton Specifically, you know, if Amazon's gonna build, let's say they have the Elastic product, I don't want to take Elastic as an example, let's just say that they, they, they have a alternative in the open source world, they realize they… 2 times in the scene
Ramana Rao, Livefyre // Real-Time Social Engagement (Hosted by FirstMark Capital)
- ▶ 13:06 Ramana Rao So Elasticsearch is particularly good for certain things, uh, Mongo for other, and so on.
Sean Gourley, Quid // Data Driven #25 // March 2014 (Hosted by FirstMark Capital)
- ▶ 19:05 Sean Gourley So it's, it's a, it's a web platform, um, where a lot of data comes preloaded, so, um, the, the streams of information that are out there, everything from Twitter through to kind of foreign language, Japanese television transcripts,…
Joe Reisinger, Premise // Data Driven NYC 21 // Dec 2013 (Hosted by FirstMark Capital)
- ▶ 25:19 Joe Reisinger Um, we have a lot of stuff built on Elasticsearch, um, which has been a really fantastic, um, it's a phenomenal product.