logo
episode-header-image
Oct 2021
24m 25s

A database built for a firehose

The Stack Overflow Podcast
About this episode

HarperDB is a startup that focuses on highly scalable databases that handle real-time data. 

Harper is built on Node.js and Express with a little help from Fastify

They know where they excel and where they don't. High data throughput like  gaming and vision, great! High data resolution and transactional software like financial applications, not so great. It's speed over accuracy. 

Instead of a Lifeboat badge today, we shared a relevant question: Q: How to create HarperDB table with lambda.

Up next
Today
Svelte was built on “slinging code for the sheer love of it”
Rich Harris, creator of Svelte and software engineer at Vercel, joins Ryan on the show to dive into the evolution and future of web frameworks. They discuss the birth and growth of Svelte during the rise of mobile, the challenges of building robust and efficient web applications, ... Show More
35m 9s
Aug 22
Robots in the skies (and they use Transformer models)
Ryan welcomes Nathan Michael, CTO at Shield AI, to discuss what AI looks like in defense technologies, both technically and ethically. They cover how the Hivemind technology works in coordinating the autonomous decisions of drones in the field while keeping humans in the loop, wh ... Show More
26m 50s
Aug 22
Learning in the flow: Unlocking employee potential through continuous learning
In this episode of Leaders of Code, Stack Overflow CEO Prashanth Chandrasekar and Christina Dacauaziliqua, Senior Learning Specialist at Morgan Stanley, talk about the importance of experiential learning in fast-paced environments. They emphasize the value of creating intentional ... Show More
33m 1s
Recommended Episodes
Sep 2022
Data-baeses
Writing data is easy. You take in the information and put it away for future use. It’s remembering exactly what you wrote and where you put it that’s the challenge. Just like having to look for your keys as you try to rush out the door, getting that data quickly makes all the dif ... Show More
29m 5s
Oct 2021
On Graph Databases | The Backend Engineering Show
I get a lot of emails asking me to talk about graph databases, so I want to start researching them, but I wanted to give you guys the framework of how I think about any databases to defuse any “magic” that might be there. In this video, I discuss what constrains a database and ho ... Show More
22m 27s
Sep 2021
S17:E9 - What are some database architectures and their use cases (Kyle Bernhardy)
In this episode, we talk about database architectures and some of their use cases, with Kyle Bernhardy, CTO of HarperDB. Kyle talks about what a database is, different types of databases, and when you might want to use one type of database over another. Show Links DevDiscuss (spo ... Show More
48m 31s
Nov 2022
Analyze Massive Data At Interactive Speeds With The Power Of Bitmaps Using FeatureBase
Summary The most expensive part of working with massive data sets is the work of retrieving and processing the files that contain the raw information. FeatureBase (formerly Pilosa) avoids that overhead by converting the data into bitmaps. In this episode Matt Jaffee explains how ... Show More
59m 25s
Dec 2021
Data Driven Hiring For Data Professionals With Alooba
Summary Hiring data professionals is challenging for a multitude of reasons, and as with every interview process there is a potential for bias to creep in. Tim Freestone founded Alooba to provide a more stable reference point for evaluating candidates to ensure that you can make ... Show More
50m 3s
Nov 2021
Time Plus Data Equals Efficiency with Paul Dix, the Founder and CTO of InfluxData and the Creator of InfluxDB
If the topic of databases is brought up to certain people, their eyes may gloss over. But if that happened, that would be because they just don’t know the awesome power of databases. Data can be valuable but only if it is contextualized, and time is an extremely relevant aspect t ... Show More
36m 4s
Dec 2019
Building The Materialize Engine For Interactive Streaming Analytics In SQL
Summary Transactional databases used in applications are optimized for fast reads and writes with relatively simple queries on a small number of records. Data warehouses are optimized for batched writes and complex analytical queries. Between those use cases there are varying lev ... Show More
48m 7s
Mar 2024
#454: Data Pipelines with Dagster
See the full show notes for this episode on the website at talkpython.fm/454 
58m 25s