Data visualization service Reflect raises $2.5M seed round led by DFJ
techcrunch.com
techcrunch.com
I'm curious about the typical (expected) use case for something like this. I would think a lot of large-scale data consumers would already be using an end-to-end solution that includes at least halfway decent visualization tools - whether it's Tableau or ELK/Elastic.
Will customers be more likely to be smaller businesses who right now have limited data viz tools? Or developers who need to make something quick and dirty and don't want to wade through d3? Or existing customers of major data platforms who aren't happy with the visualization they provide? Or something else entirely?
Great question! We're different than other tools because we're an ingredient component that developers add to their applications and services (Tableau + others are standalone tools).
We're working with larger companies, like Simply Measured, who are using Reflect to power their customer-facing products.
Most companies (large or small) don't have the core competency for data visualization in-house -- Reflect helps fill that gap.
Visualization has become commodity, it is what you do to simplify the path from data to viz is important. http://infocaptor.com/visualization-gallery.php
I think that Tableau and Qlik (and QuickSite to a degree!) are great tools and they've helped make visualization and the infrastructure to do it available to people who previously didn't have it. We're extending this to any developer on the planet by using tools we are all familiar with: REST and Javascript. And since the whole internet wants to interact with visualization we're doing it at a new level of scale.
Happy to talk through the details with you, my email address is in my profile--just ping me and we can schedule some time!
What infrastructure? Some cloud BI solutions let you drop an iframe to integrate and done. Same is true for the rest apis.
Still not seeing the differentiation, however I honestly wish you success. Congrats.
Congratulations on the launch.
Data visualization is about multi-gig, possibly streaming data sets, and crucially, parsing the data, probably in real time, for the crucial 1-2% of it that's actually interesting, and helping user find them. Not putting a thin SASS wrapper on stone age graphics whose underlying data size is probably measured in kilobytes
This thing looks like a charting service. Not "data visualization".
https://web.archive.org/web/20150908004847/https://www.polyc...
https://web.archive.org/web/20150924213349/https://www.polyc...
(video still works! http://play.vidyard.com/aDsHgEC9IPpqN52MfmpsCA.html ) and https://web.archive.org/web/20150924213345/https://www.polyc...
and their blog is still up
Perhaps the founder would make it MIT/BSD at this point?
Anyone want to tweet at her? https://twitter.com/lisaczhang
Also, for some history... https://news.ycombinator.com/item?id=5519893
Curious if you guys use proprietary graphing libraries or wrap something like d3 in custom skins.