Advanced Analytics
& Machine Learning
Instant access to a scalable
Python & SQL environment
These environments run directly on top of your ClicData data lake and data warehouse, eliminating the need to move or replicate data between systems.
Everything happens in place, ensuring maximum speed and security.


Powerful Analytics
Statistics, Segmentation, and Trends
Run complex SQL queries, integrate your favorite Python libraries (like pandas, NumPy, and SciPy), and generate insights at scale. Build tailored analytics pipelines for departments, teams, or clients—all from within your ClicData platform.
Built-In Machine Learning Capabilities
Predict churn, forecast sales, detect anomalies, or recommend products—all with data that's already integrated and prepped in ClicData. And because everything runs inside our managed compute layer, there’s no DevOps overhead or external orchestration needed.


Insights
It is here to quickly get to the core of the data and start planning what you want to do with it downstream. You can also use it to start planning how to visualize it in your dashboards or save it for future comparisons with similar data.
Schema Analysis
The Schema Analysis tool gives you the ability to quickly and accurately view the data distribution, null and empty data percentages, outliers and other critical information about your data.

Questions?
What are the costs associated with running these scripts?
When you start your editor or execute a script, we launch an environment that consumes a certain number of credits per minute depending on the number of cores on the machine. Please refer to the pricing page or contact us for additional information.
Can I import my own Python packages?
Not at this time but let us know so that we can provide alternative packages or ways to import it.
Can I run SQL and Python in the same document, like in Jupyter notebook?
Not yet but we are working on it. For the time being you would need two separate scripts and use our scheduler to execute them in the sequence you need them in.
What is the configuration of our Python environment?
Our standard configuration uses 16 core VMs running Python 3.12 or 3.13 configurable by you. For larger workloads you can get dedicated and burst loading servers up to 80 cores as well as GPU VMs. Contact us for more information or book a demo.