It’s harder than it should be to convert your JSON structures to a relational database. Tools are either too complex or too expensive (or both). Instead of delving into the world of ETL, let ReSQL make your life a little easier.
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Promoted
Maker
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When building a data pipeline from DynamoDB to Redshift I learnt that although there are many available ETL (extract, transform & load) tools, none of them did what I wanted.
They either required me using their servers for our private data (Fivetran), needed lots of knowledge (Spark, AWS Glue) or just didn’t do the whole job in a simple and complete fashion (Amazon’s own tools, Estuary). I felt like a simple use case should be easier than it currently is.
Enter ReSQL. Take JSON, as complex and deeply nested as you like. Output a relational format in SQL, CSV and coming soon, python automation scripts (Pandas and Arrow).
Put it into a desktop app. That’s it.
ReSQL will always have a free version available. I will probably add premium features like database connections and infrastructure automation at a later time. Let me know things that would be useful to you, and I'll see if I can include them.
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Maker Comment
Maker
📌
When building a data pipeline from DynamoDB to Redshift I learnt that although there are many available ETL (extract, transform & load) tools, none of them did what I wanted.
They either required me using their servers for our private data (Fivetran), needed lots of knowledge (Spark, AWS Glue) or just didn’t do the whole job in a simple and complete fashion (Amazon’s own tools, Estuary). I felt like a simple use case should be easier than it currently is.
Enter ReSQL. Take JSON, as complex and deeply nested as you like. Output a relational format in SQL, CSV and coming soon, python automation scripts (Pandas and Arrow).
Put it into a desktop app. That’s it.
ReSQL will always have a free version available. I will probably add premium features like database connections and infrastructure automation at a later time. Let me know things that would be useful to you, and I'll see if I can include them.
When building a data pipeline from DynamoDB to Redshift I learnt that although there are many available ETL (extract, transform & load) tools, none of them did what I wanted.
They either required me using their servers for our private data (Fivetran), needed lots of knowledge (Spark, AWS Glue) or just didn’t do the whole job in a simple and complete fashion (Amazon’s own tools, Estuary). I felt like a simple use case should be easier than it currently is.
Enter ReSQL. Take JSON, as complex and deeply nested as you like. Output a relational format in SQL, CSV and coming soon, python automation scripts (Pandas and Arrow).
Put it into a desktop app. That’s it.
ReSQL will always have a free version available. I will probably add premium features like database connections and infrastructure automation at a later time. Let me know things that would be useful to you, and I'll see if I can include them.