Datatailr

Scalability,
from #idea2prod

Scale your business by spending more time on your ideas and deploying them faster, with Datatailr's R&D to production platform.

We take care of the rest.

Here's how the
#idea2prod cycle
works on Datatailr.

Datatailr is an encrypted, R&D-to-production computing platform for analytics and applications.

It's all secure in your own cloud account and on-prem - we never touch or see your data, code or processes.

And it's easy to use - we handle all the infrastructure on low level, under the hood. You connect your code repo, your data - and you are up and running.

dt.cube
BIG DATA IN YOUR BROWSER

Stream, visualize, abstract, aggregate, slice and dice, and create dashboards with your data. Hybrid server + client side. Data cube scaling to trillions of rows.

dt.code
DEVELOP & DEBUG YOUR CODE

Just code in a cloud-based IDE/Jupyter and push it. Open telemetry, user-based permissions, actionable logs.

dt.batch
BATCH SCHEDULING & SCALABLE COMPUTE

Run back-tests of your code, segregate environments, spin up VMs, schedule batch jobs, and reproduce and retest your code. New build system is 3X faster than Conda.

dt.app
PACKAGE & DEPLOY APPLICATIONS

Deploy your apps and dashboards to production. Secure your IP with the Excel add-in.

OPTIMIZE COMPUTE & LOWER TCO

Automatically pre-warm machines and scale compute resources up and down. Save time, headaches, and 20% to 90% of your compute bill.

Accelerate your impact, from #idea2prod.

Our team has decades of experience as quants, strats and developers at leading global financial and technology firms, from Goldman Sachs, JPMorgan, Barclays and Bank of America, to Google. We also were key contributors to JupyterLab, Conda/Anaconda, Numba, Cython and Perspective open-source projects.

We built this platform for you, and we're here to guide you to make the most of it inside your organization.