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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

Gemini Code Assist logo
Gemini Code Assist
✓ verifiedFreemium

Google's AI coding assistant for code completion, generation, chat and review across IDEs and GitHub.

559K visits/mo

Thin 'Lingbot-map' agent listing on github.com with zero traffic; too thin to tell.

5.2K saves
forms app logo
forms app
✓ verifiedPaid

Established online form/survey/quiz builder with automation; very high traffic.

1.1M visits/mo4.2K saves
EverSQL logo
EverSQL
✓ verifiedFree

AI-powered SQL optimizer for PostgreSQL and MySQL that auto-rewrites and indexes queries; now free as part of Aiven.

6.5K visits/mo
4.7K visits/mo
Pricing

No public pricing

No public pricing

Basic: 15 USD /month
Pro: 25 USD /month
Premium: 59 USD /month

No public pricing

No public pricing

Core features
  • AI code completion and suggestions
  • Natural-language code generation
  • In-IDE chat assistance
  • AI code review
  • IDE integrations (VS Code, JetBrains, etc.)
  • GitHub integration
  • Fast tensor operations
  • Differentiable tensors for gradient-based optimization
  • Network connectivity
  • Integration with Bun and Flashlight
  • Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
  • Form Builder
  • Survey Maker
  • Quiz Maker
  • Store Builder
  • AI Form Generator
  • 500+ Integrations
  • Template Library
  • Data Analysis Tools
  • Workflow Automation
  • Automatic SQL query optimization
  • Query rewriting and indexing suggestions
  • Non-intrusive performance sensor
  • Ongoing performance insights
  • Database cost-reduction recommendations
  • PostgreSQL and MySQL support
  • Zero-ETL data integration
  • Federated Query
  • Streaming Ingestion
  • Instant Replication with CDC
  • API to SQL conversion
  • NoSQL to SQL conversion
  • SQL to API conversion
  • Self-service Integration
  • Generate SQL with AI
Use cases
  • Speeding up coding with AI completions
  • Generating code from plain-language prompts
  • Getting in-editor help and explanations
  • Reviewing pull requests with AI
  • Understanding unfamiliar codebases
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Collecting customer feedback
  • Conducting market research
  • Creating online quizzes for education or entertainment
  • Selling products through online forms
  • Automating business processes
  • Optimizing slow SQL queries
  • Monitoring database performance
  • Reducing database CPU and storage costs
  • Getting indexing recommendations
  • Query data directly from its source in real-time.
  • Process data wherever it is, blending data from different sources.
  • Ingest streaming data from Kafka, Segment, etc., into Peaka BI Table.
  • Replace nightly batch ingestion with real-time data access.
  • Treat every data source like a relational database by converting APIs to tables.
  • Use SQL to query NoSQL databases.
  • Query consolidated data and expose it with APIs.
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