Write, test, run and share data-driven Python scripts in Peliqan and implement a wide range of use cases.
Low-code Python
Built-in run-time
Unified data access
Writeback to SaaS applications
No hassle: code, test and publish
Implement any use case
Data visualisations
Visualize data in notebook-style or build interactive dashboards.
Data enrichment
Enrich data with third party data providers such as Clearbit, Hunter and others.
Interactive apps
Build UI’s for business users to search data, make updates to data, data entry, data quality checks etc.
Reporting
Build custom reports and generate PDFs on the fly.
Writeback
Write data updates back to the source, e.g. a SaaS application, and implement reverse ETL by writing to any destination.
Data monitoring
Implement quality checks, monitor data sets and send out alerts.
Predictions & ML
Make predictions, classify data or detect outliers using machine learning models.
Unified data access in your code
Connect to any data source and immediately access the data from your code.
Databases: MySQL, Postgres, SQL Server, Oracle
Data warehouses: Snowflake, Redshift
SaaS business applications such as Salesforce, Hubspot, Jira, Zendesk and many others
Code or SQL ? No need to choose!
You can prepare data using SQL and load it into your Python code as a data frame using one line of code. Focus on implementing your solution without the overhead of preparing the data, transforming it or joining it.
Build interactive data apps
Turn data into charts and dashboards with a few lines of code and share dashboards with business teams.
Go beyond traditional BI visualisations and turn dashboards into interactive data apps.
Use Peliqan’s low-code environment to build custom front-ends. Capture user input, get feedback, build apps for what-if analysis and build custom data-entry screens.
Use low-code scripts to implement writeback / reverse ETL.
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