Instantly connect your apps and databases, use any BI tool. Combine magical SQL and low-code Python to integrate, automate and activate your data.
Sync DynamoDB (AWS into a data warehouse with a few clicks, and start exploring your data in an easy spreadsheet. Use SQL on DynamoDB (AWS to combine data, build custom reports and prepare data for your favorite BI tool such as Microsoft Power BI, Tableau, Qlik Sense, Looker or Metabase. ETL data pipelines are automatically created.
Explore data in a rich spreadsheet UI. Use Magical SQL to combine and transform data. SQL queries become new tables that can be shared with business users and used in any BI tool.
Use Peliqan’s built-in distributed query engine to combine data between sources, e.g. write JOIN queries between tables in the Peliqan DW and external databases.
Use your preferred BI tool (Power BI, Tableau, Metabase etc.) to visualize your DynamoDB (AWS data.
Deploy Metabase with a single click from the Peliqan Market Place and use DynamoDB (AWS in Metabase.
Sync with Google Sheets for easy data analysis from any source.
Export data from multiple SaaS applications and databases into DynamoDB (AWS. Set up automated data syncs to keep your business applications in sync. Use Reverse ETL to sync DynamoDB (AWS data to any business application.
Developers can write, test, execute and schedule low-code Python scripts to work with their data. Implement reverse ETL with 3 lines of code. Run ML models, build interactive UIs, publish APIs.
CFOs, CEOs and other business users can work with Peliqan data in Excel thanks to the Peliqan Excel add-in.
Easily switch between data sources and work with your data in real-time in Excel.
Peliqan’s AI assistant helps you to write SQL queries to get to insights fast. Ask your question in plain English and immediately see the result in Peliqan’s rich spreadsheet viewer.
We’re even adding AI assisted coding to our low-code Python editor!
Publish API endpoints and link them to your data from DynamoDB (AWS. Publish data products, share data and expose ML models through API endpoints.
Consume incoming webhooks from any source. Incoming webhook events are queued in a table and can easily be queried or processed in your Python code.
Choose best of class tools in Peliqan’s market place and deploy them with a single click. Start using tools such as Metabase, Jupyter notebooks, Apache Airflow and Apache Superset within your Peliqan environment.
Access, combine, and report on data from DynamoDB (AWS and all your SaaS apps instantly.
Gain valuable insights by bringing all your business data together in one place within minutes.
Analyze your DynamoDB (AWS data with SQL or in a spreadsheet.
Enable business users with controlled self-service data access to DynamoDB (AWS.
Create views for “human in the loop” processes when working with DynamoDB (AWS data.
Build custom reports from DynamoDB (AWS in HTML, PDF…
Build internal apps to make data from DynamoDB (AWS interactive.
Replace complex user interfaces with a targeted UI for knowledge workers using DynamoDB (AWS.
Implement data migrations to or from DynamoDB (AWS using SQL and low-code Python.
Peliqan is an all-in-one data stack on top DynamoDB (AWS, SaaS apps and DBs.
Work with your DynamoDB (AWS data in a spreadsheet that is always up-to-date.
Create charts and visualize your DynamoDB (AWS data in dashboards.
Reconcile your DynamoDB (AWS data with other sources.
Apply machine learning models on your DynamoDB (AWS data with low-code python.
Implement reverse ETL flows to send data from DynamoDB (AWS to any SaaS.
Get real-time access to your raw DynamoDB (AWS data.
Get your DynamoDB (AWS data in a data warehouse instantly, with a few clicks.
Use SQL on your DynamoDB (AWS data to view, share and transform data.
Security, compliance with international standards (ISO 27001, SOC II type 2) and trust are our highest priorities. We invest heavily in maintaining the highest platform reliability and we host within the EU for GDPR compliance by our customers.
