Peliqan connects to a wide range of data sources including databases, data warehouses and SaaS applications. Peliqan connects in real-time to databases and data warehouses, and syncs data from SaaS sources into the built-in data warehouse or your own connected data warehouse. Business users can discover and explore data and easily combine datasets in a spreadsheet interface. Technical users can apply transformations and combine data across sources using magical SQL. Thanks to the Peliqan “SQL on anything” approach, data teams can easily write queries that combine disparate data sets, and these queries can be shared as new tables to business teams. You can connect your preferred BI tool to Peliqan such as MS Power BI, Metabase, Tableau, Qlik or any other BI tool. By using the Python built-in low-code environment, it’s easy to implement data-driven apps with just a few lines of code. This includes writebacks to SaaS business applications, custom reporting, alerting to Slack and MS Teams, getting predictions using ML (Machine Learning), enriching data with external APIs, making datasets available as data products (API endpoints) and much more. The Peliqan marketplace allows one-click deployment of leading data tools such as Airflow, Apache Superset, Metabase, vector databases for LLMs (Qdrant) and SuperAgent to deploy in-house private LLMs, similar to ChatGPT. Peliqan redefines the modern data stack by enabling business users to work with data and build agile data products in a self-service manner.
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