|Description||Data Science at Scale|
|Seed, 1/2012 |
|Seed, 7/2012 |
|Debt, 2/2012 ||$450k|
|Debt, 12/2013 ||$900k|
We’re the creators of Mortar, a Rails-inspired open source framework for big data processing using Hadoop (Pig). We host and execute Mortar jobs on our Hadoop-as-a-Service platform, which is built on AWS’ Elastic MapReduce.
You’re doing data science at scale. You have a team that needs to collaborate and build on prior art. You use multiple tools to munge data, process logs, do ML, maybe build recommender systems. We made Mortar to help you.
Effortless infrastructure: We manage infrastructure for you - provisioning, to installation, to teardown.
Start instantly: You can create, test, and run jobs from our in-browser IDE. Casual but powerful.
Use your own tools: Use the open source mortar framework on your workstation and optionally call Mortar’s remote service through the command-line.
Never lose track: Know what you did, and how you did it. Mortar snapshots everything you run. Even share it across your team.
See data as you work with it: Get instant feedback on every step of every line of your code, while you work. That means fewer bugs, and lets you stays constantly in flow, even when working with Hadoop.