Bank Transactions
Postmark

Activate your Postmark & Bank Transactions data

Instantly connect your apps and databases, use any BI tool. Combine magical SQL and low-code Python to integrate, automate and activate your data.

Instant data warehouse for Postmark and Bank Transactions

Sync Postmark and Bank Transactions into a data warehouse with a few clicks, and start exploring your data in an easy spreadsheet. Use SQL 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.

See your SaaS data in a grid view

Use SQL on all your SaaS data

Spreadsheet UI and magical SQL to join Postmark and Bank Transactions data

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.

Combine and visualize your Postmark and Bank Transactions data

Create data apps in minutes. Transform your business with charts, dashboards, and interactive apps. Real-time data updates ensure your team has the latest information.

Use Peliqan charts or your preferred BI tool (Power BI, Tableau, etc.) or sync with Google Sheets for easy data analysis from any source.

Microsoft Power BI screenshot

Map fields from a source to a destination (ETL)

Sync data from Postmark into Bank Transactions and back

Export data from Postmark into Bank Transactions and vice versa. Set up automated data syncs to keep your business applications in sync. Use Reverse ETL to sync Postmark and Bank Transactions data to any business application.

Low-code Python for developers

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.

Use low-code Python to work with your data

Peliqan Excel add-in to work with your data in real-time

Use Excel to work with your data from Postmark & Bank Transactions

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.

Let AI do the work for you

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!

Peliqan Ask AI willl write your SQL queries from plain English

Publish API endpoints

Easily exchange data with partners, customers and prospects

Publish API endpoints and link them to your data from Postmark and Bank Transactions. 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.

Deploy best of class tools with one click to work with your Postmark & Bank Transactions data

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.

Market place

SaaS Data Cockpit

Access, combine, and report on data from Postmark, Bank Transactions and all your SaaS apps instantly.

Gain valuable insights by bringing all your business data together in one place within minutes.

See all your data in spreadsheet

Security, compliance, trust, reliability & privacy

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.

Ready to get instant access to all your company data ?