How about a time series ecosystem that performs

18 times faster?

Test it and get all the details

Your data ingestion just got 18X faster

We know data ingestion can be a pain.

We, however, can take you to a smooth ecosystem, where all capabilities are easily integrated, allowing you to work with huge time series data faster than ever.

See how fast it is? Ready for you to handle data seamlessly and efficiently.

See it for yourself, intuitive features designed to offer better performance.
Be ready for unparalleled control and flexibility when working with data.

Check up to 1 Billion data points in a time series!

Want to quickly navigate through a Billion data points? No problem.

You can go into as much detail as you need. Create and play with intelligent features, and share it with whoever you want in just a few clicks. Try it yourself, see how it works!

Want to learn all the specs?

Our state-of-the-art technology enables you to create and play with intelligent features.

Try it!

Don't just take our word for it. Try this code example and see for yourself what Shapelets is capable of.

Much more output in just

a few lines of code

It only takes you a few lines of code to build your solution

We help you push the limits of your work, you can see this live example

and try it out with the link below

Shapelets

Do you want to know more?

We invite you to go deeper and discover the power of our platform for yourself.

Learn new ways to optimize your work.

Test the platform and discover its true potential. Take your work to the next level.

Ready? Set? Begin!!!

INSTALLER
setup.py

Support

Need help from our experts? Maybe try a few examples?

Sometimes we need a little help to get the most out of our work. That’s why we offer you all the expert help you need, here.

Github

Browse Shapelets examples in our repo and raise issues.

Documentation

Get all the technical details on our platform and features.

Report an issue

Let us know what you think, raise issues, and request new features.

A customer success story

Oil & Gas

Through Shapelets ingestion and visualization features, they managed to:

1

Improve data granularity during the ingestion process.

2

Faster significant data ingestion from refinery plant sensors.

3

Build accurate models for stronger analytics.

4

Reduce the back and forth in the visualization development process by 50%, saving hours of user interaction and support.

5

Base their visualizations on real-time generated data, instead of static data.

Through Shapelets ingestion and visualization features, they managed to:

1

Improve data granularity and model accuracy in less time during the ingestion process.

2

Faster significant data ingestion from refinery plant sensors.

3

Build accurate models for stronger analytics.

4

Reduce the back and forth in the visualization development process by 50%, saving hours of user interaction and support.

5

Base their visualizations on real-time generated data, instead of static data

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