Sync JSON data into Panoply
ETL the Modern Way. Get your data out of JSON so you can analyze it.
Data from a JSON file are read and imported into Panoply through the File Upload data source. The object or record in your JSON file is imported into Panoply as a table record. The destination table can be a fixed or a dynamic one. Any nested data in your object will be moved to their own table and be provided with the relevant foreign key to create a parent to child table relationship with the nesting object's table. Also, Panoply's support for the JSON Lines text format increases your JSON file's capacity to hold data. This format allows you to include and write many objects in one JSON file that would otherwise be impossible when using the plain JSON format.
Modernizing JSON ETL
What is ETL?
The shift to ELT
All in one JSON data pipeline
Get easy access to all your JSON data in all your tools.
BI tools commonly used with JSON data
Count
BI Tools
Tableau
BI Tools
Power BI
BI Tools
Looker
BI Tools
Cumul.io
BI Tools
Mode Analytics
BI Tools
Panintelligence
BI Tools
Metabase
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Looker Studio
BI Tools
Redash
BI Tools
Apache Superset
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SeekWell
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Amazon QuickSight
BI Tools
Domo
BI Tools
Grafana
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Qlik
BI Tools
Trevor.io
BI Tools
Draxlr
BI Tools
Apache Zeppelin
BI Tools
Birst
BI Tools
CARTO
BI Tools
Databricks
BI Tools
GoodData
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Holistics
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IBM Cognos
BI Tools
Jupyter
BI Tools
Klipfolio
BI Tools
KNIME
BI Tools
MicroStrategy
BI Tools
Pentaho
BI Tools
Plotly
BI Tools
PopSQL
BI Tools
Julia
BI Tools
Pandas
BI Tools
Python
BI Tools
SQL
BI Tools
R
BI Tools
Shiny
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ThoughtSpot
BI Tools
TIBCO Spotfire X
BI Tools
Yellowfin
BI Tools
Zoho Analytics
BI Tools