Deepnote Copilot vs Raw Query - Which AI Code Assistant Software Platform Is Better in July 2025?

Deepnote Copilot

Deepnote Copilot

Python and programming language code suggestion.

TL;DR - Quick Comparison Summary

Description

Introducing Deepnote Copilot, a powerful tool for data scientists and analysts working with Python and other coding languages. This AI-powered code suggestion tool offers lightning-fast

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Rewritten: Raw Query is an innovative AI platform that simplifies direct communication with databases through conversational language. This allows developers and business intelligence

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Pricing Options

  • Free Trial available
  • $31, month
  • Free Trial available
  • $39, month

How do Deepnote Copilot and Raw Query Compare on Features?

Total Features

Features
Features

Unique Features

No features

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What Do Deepnote Copilot and Raw Query Cost?

Pricing Option

      Starting From

      • $31, month
      • $39, month

      Other Details

      Customer Types

      • No customer type information available
      • No customer type information available

      Deepnote Copilot User Reviews & Rating Comparison

      User Ratings

      No Reviews

      No Reviews

      Pros

      Pros of Deepnote Copilot

      • Python and other languages support

      • Contextualized code suggestions

      • Immersive workspace

      • Rich context repository

      • Increases efficiency and productivity

      • Reduces boilerplate code

      • Collaborative notebooks

      • Integration with Codeium

      • Generous context window

      • Fast code suggestions

      Pros of Raw Query

      • In-built code editor

      • Built-in SQL optimizer

      • Advanced querying capabilities

      • Supports complex SQL codes

      • High speed query execution

      • Raw data manipulation

      • Data visualization features

      • Automated code generation

      • Real-time error detection

      • Syntax highlighting

      Cons

      Cons of Deepnote Copilot

      • Focused on Python

      • Too much contextual data required

      • Less effective with less input

      • Limited language models scope

      • Inaccessible for novice coders

      • Heavy reliance on user narrative

      • Lack of debugging features

      • Partnership restrictions (Codeium)

      • Not standalone

      • requires notebook

      Cons of Raw Query

      • No multi-database support

      • Limited query optimization

      • No query history

      • Inadequate error handling

      • Lacks advanced analytic capabilities

      • No visualization tools

      • Poor syntax highlighting

      • Cannot handle large datasets

      • No import/export functionality

      • Limited database object manipulation

      Media and Screenshots

      Screenshots

      Deepnote Copilot
      Raw Query

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      Frequently Asked Questions (FAQs)

      Stuck on something? We're here to help with all the questions and answers in one place.

      Yes, both Deepnote Copilot and Raw Query offer a Free Trial.

      Pricing for Deepnote Copilot Starts at $31/month whereas for Raw Query Starts at $39/month.

      Deepnote Copilot offers several advantages, including Python and other languages support, Contextualized code suggestions, Immersive workspace, Rich context repository, Increases efficiency and productivity and many more functionalities.

      The cons of Deepnote Copilot may include a Focused on Python, Too much contextual data required, Less effective with less input, Limited language models scope. and requires notebook

      Raw Query offers several advantages, including In-built code editor, Built-in SQL optimizer, Advanced querying capabilities, Supports complex SQL codes, High speed query execution and many more functionalities.

      The cons of Raw Query may include a No multi-database support, Limited query optimization, No query history, Inadequate error handling. and Limited database object manipulation

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      Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

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