Hadoop, in one hour.

Have a pile of under-utilized data? Want to use Hadoop but can't spend weeks or months getting started?

Mortar can help.

Hadoop—with skills you have.

Mortar is Hadoop in the cloud—an on-demand easy-to-use platform for big data.

With Mortar you write Python and Pig, which is like SQL. That's all you need to access to the power of real Hadoop—no esoterica.

Hadoop in 60 minutes

Start immediately. Don’t spend days or weeks provisioning hardware and installing software. Get straight into your data, so you can get on with your business. 60 minutes, not 60 days. And honestly, if you’re familiar with Pig, it’s more like 6 minutes. Fast.

More Data? No Problem.

Hadoop is ideal for the cloud. Why? Because no matter how much your data grows, no matter how heavy your peak usage, you always have the right capacity. You’ll save money by never idling your cluster, and you’ll never hit a wall as you scale your business.

How it Works

How-it-works-banner

Develop

Get it perfect. Mortar shows you what your job will do before you run it. Mortar uses real Python, so NumPy, SciPy, and NLTK work perfectly.

How-it-works-data

Run

Mortar creates a private Apache Hadoop cluster for your job. Pig + Python create optimized jobs for execution.

Read

from cloud storage (S3)

Process

in a private, on-demand Apache Hadoop cluster

Write

to cloud storage (S3)

Who We Are

Team

We're engineers who love to work with data. We have deep experience in ETL, Data Warehousing, and are contributors to multiple Hadoop projects. We've built, managed, and architected products used by millions of people today. We're proud to be a TechStars company.

Kay-young

K Young

CEO. Formerly Architect at Wireless Generation where he built three flagship products (TPRI, DIBELS, ARIS). Loves using data to help people and companies better understand our world.

Doug-daniels

Doug Daniels

CTO. Formerly Data Architect at Wireless Generation. Led awesome teams to integrate data in the largest school districts in the US. Passionate about building next generation data pipelines on Hadoop.

Jeremy-karn

Jeremy Karn

Lead Engineer. Has led large teams of engineers to build analytic solutions under intense conditions. Universally beloved by his team and his customers.

Investors

Chris Lynch, CEO Vertica / Gil Beyda, Founder Real Media (Genacast Ventures) / Bob Mason, Founder & CTO Brightcove / Atlas Venture / Great Oaks Ventures / Ari Daskalakis / Jorge Padres / Ralph Mack / Joe Caruso / Matt Turck / David Beyer / TechStars.

Join Us

We're hiring engineers, ops, qa, and generalists, at all experience levels: join-us@mortardata.com

Pricing

Rip through data, not money. With Mortar, you can scale your costs alongside data you actually process, not servers owned or engineers hired/trained. Pay as you go, bill to scale.

Value

  • No upfront costs
  • Get your work done fast
  • Easy troubleshooting, skip the tedium
  • Focus on your problem, not the infrastructure

Billing

  • Develop jobs for free
  • Pay only for machine hours to run your jobs
  • No minimum fee

Try It

We're full up! Response has been great. We're excited and happy to help, so please leave us your contact info.


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We're here for you

Contact

86 Chambers Street, Suite 704H
New York, NY 10007

Press

Mortar Data, Hadoop for the Rest of Us, Gets Seed Funding

All Things D

Mortar’s secret is to use the Python programming language and Apache Pig, running on cloud infrastructure. The combination makes working with Hadoop a lot more accessible to people with more generalized programming knowledge. Read more…

If you can code, Mortar Data promises Hadoop in an hour

GigaOM

If you have a lot of unstructured data, don’t have (or want) a Hadoop cluster and can write Python jobs, Mortar Data has got the service for you... they're jumping into the fray with possibly the most lightweight Hadoop-in-the-cloud service yet. Read more…