Analyze your Jupyter and Google Cloud SQL Postgres data together

Integrating Jupyter and Google Cloud SQL Postgres has never been easier. Try Panoply for Free
Easily integrate data from over 80+ sources so it’s always ready for action.

Panoply in 30 seconds

See how easy it is to connect your data using Panoply. In just a few minutes, you can set up a data warehouse and start syncing your Google Cloud SQL Postgres data.

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Fuel your analytics

Panoply automatically organizes data into query-ready tables and connects to popular BI tools like Jupyter as well as analytical notebooks. From executives to analysts, your entire team will have access to the most up-to-date data and insights they need to drive your business forward.

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Code-free data pipeline

Seamlessly sync Google Cloud SQL Postgres and all your other data sources with Panoply’s built-in ETL. Set up a pipeline in minutes with our simple point-and-click interface, then we’ll handle the ongoing maintenance so you can focus on building value, not fixing leaky plumbing.

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All your data in one place

Easily sync and store over 80+ data sources. Break down the silos separating your data to create a single source of truth your whole company can rely on.

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Integrate with Jupyter in minutes

With open source Jupyter Notebook, programmers create and share interactive code, visual graphics, and text. This BI tool supports script in over 40 languages. It integrates to large data platforms like Apache Spark from Python, R and Scala. You can share Jupyter Notebook work through email, Dropbox, GitHub or the Jupyter Notebook Viewer. As with any data operations, you need an ETL to extract, transform and output your Jupyter Notebook code work. Panoply’s Jupyter Notebook integration makes the ETL process easy and seamless. This fully automated pipeline manages the entire ETL workflow on the cloud in real time. With Panoply, your data is continuously uploaded, cleaned and streamed to the client side. So the output you share is always the most relevant and up to date.

Learn more:
Documentation

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Integrate with Google Cloud SQL Postgres in minutes

Finding the right balance between making your Cloud Storage data accessible and maintaining control over your Google Cloud SQL Postgres account can be tricky. Panoply’s combination of ETL and data warehousing is an easy way to share data without giving everyone in the company the login. In just a few minutes, connect to Panoply to create a secure copy of your data that can be sent to your favorite business intelligence tool. With that pipeline in place, your data stays safe and your team can create the reports and dashboards they need.
See all Integrations

Other integrations with Google Cloud SQL Postgres

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Tableau
Google Cloud SQL Postgres +
Power BI
Google Cloud SQL Postgres +
Looker
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Mode Analytics
Google Cloud SQL Postgres +
Cumul.io
Google Cloud SQL Postgres +
Metabase
Google Cloud SQL Postgres +
Redash
Google Cloud SQL Postgres +
Google Data Studio
Google Cloud SQL Postgres +
SeekWell
Google Cloud SQL Postgres +
Apache Superset
Google Cloud SQL Postgres +
Grafana
Google Cloud SQL Postgres +
Trevor.io
Google Cloud SQL Postgres +
Qlik
Google Cloud SQL Postgres +
Amazon QuickSight
Google Cloud SQL Postgres +
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Google Cloud SQL Postgres +
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Google Cloud SQL Postgres +
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Google Cloud SQL Postgres +
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JackDB
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Jupyter
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Google Cloud SQL Postgres +
KNIME
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MicroStrategy
Google Cloud SQL Postgres +
Pentaho
Google Cloud SQL Postgres +
Plotly
Google Cloud SQL Postgres +
PopSQL
Google Cloud SQL Postgres +
Python
Google Cloud SQL Postgres +
R
Google Cloud SQL Postgres +
Shiny
Google Cloud SQL Postgres +
ThoughtSpot
Google Cloud SQL Postgres +
TIBCO Spotfire X
Google Cloud SQL Postgres +
Trifacta
Google Cloud SQL Postgres +
Yellowfin
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Google Cloud SQL Postgres is a Partner Data Source. Please see our Documentation to learn more about partner data sources.

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