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Advanced Analytics
& Machine Learning

Use our Schema Analysis and Insights modules to understand your data, and our Data Scripts with Python and SQL to unleash its power.

Instant access to a scalable
Python & SQL environment

With ClicData’s Data Script module, you can launch a fully operational Python or SQL environment in just seconds—no setup required. Choose the performance you need, from 4 to 80 CPU cores, and even enable GPU acceleration for heavy workloads.

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.
Python and SQL database server icons

Powerful Analytics
Statistics, Segmentation, and Trends

Whether you're working on customer segmentation, time series forecasting, regression analysis, or outlier detection, the Data Script module gives you the tools you need.

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

Use the Data Script module to train and deploy machine learning models using scikit-learn, TensorFlow, XGBoost, or any preferred library.

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.
Python script for sales data analysis in IDE

Insights

A no limit, high performance pivotting and filtering tool.
The Insights module gives you filters, grouping, pivoting, sorting, heat map and charting capability on any table so that you can start getting a sense of the data.

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

Start by understanding the data behind the data.
Understanding the meta data, the schema behind the data is critical to identify potential flaws, data gaps, analysis paths and much more.

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?

Maybe the answer is here and if not then simply reach out to us.

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.

Data Integration. Automation. Analytics.
Made for data people by data people.
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