Analyze your PostgreSQL data in Python
Getting your data from PostgreSQL to Python can be a pain. Managing pipelines for all your data sources just isn’t sustainable, but your reporting can’t be put on hold while you wait for IT or Engineering to get to your ticket.
With Panoply, you can eliminate that hassle—and all that wasted time. Set up code-free connections to both PostgreSQL and Python with just a few clicks. Then Panoply will automatically sync your data so it’s ready to analyze when you are.
It’s that simple: Unblock your data with Panoply.
How it works
Automatically sync and store the data you want with table-level control.
See the PostgreSQL data Panoply collects
Query-ready data with just a few clicks
Code-free data pipeline
Fuel your analytics
Integrate with PostgreSQL in minutes
At Panoply, we make it easy to integrate your platform with PostgreSQL and its module heavy sister, Postgres Plus. PostgreSQL is a popular open source database, known for its object RDBMS and community support. Panoply allows PostgreSQL users the opportunity to:
- Import and access their Postgres data in real time
- Combine their data with other sources, including other databases
- Query raw data instantly
As a cloud based platform, Panoply reduces the infrastructure necessary for a traditional PostgreSQL data warehouse where most Postgres data is stored, and automatically applies ETL and ELT with no added work by the user. With Panoply, your PostgreSQL data is automatically collected, sorted, and ready to be analyzed.
Learn more:
Documentation
PostgreSQL Data Warehousing
PostgreSQL Business Intelligence
Other connectors with PostgreSQL
Integrate with Python in minutes
Love the power of Python for analytics and machine learning but need a way to support it alongside other BI tools? Panoply makes it easy to pipe data to multiple analytics tools with 30+ code-free connectors you can set up in minutes.
Along with eliminating API configuration and maintenance, Panoply automatically stores a copy of your data in the cloud, making your queries faster and more stable. Plus, by powering all your BI and analytics tools with the same centralized data you can ensure that key metrics are consistent across the company, no matter who’s doing the reporting.
Learn more:
Documentation
Other connectors with Python
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