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GitHub Copilot vs Tabnine: Complete Comparison Guide

Compare GitHub Copilot and Tabnine on AI suggestions, privacy, on-premise options, and pricing. Discover which AI code assistant best fits your team and security requirements.

GitHub Copilot

The most widely used AI code assistant, developed by GitHub and OpenAI. With 71.1% usage among developers, Copilot offers powerful inline autocomplete, chat features, and deep GitHub integration. It runs entirely in the cloud and processes code through OpenAI's models.

Tabnine

An AI code assistant with a strong focus on privacy and enterprise security. Tabnine is the only major player offering a full on-premise option where code never leaves the corporate network. With 17.1% usage, it provides personalized suggestions based on your own codebase.

Comparison table

FeatureGitHub CopilotTabnine
Privacy & hostingCloud-only — code is sent to OpenAI servers for processingCloud, VPC, or fully on-premise — code can stay within your network
AI modelsGPT-4o and Claude via GitHub infrastructureOwn models + integration with OpenAI and Anthropic, customizable per organization
PricingFree tier, Pro $10/month, Business $19/monthFree tier (limited), Pro $12/month, Enterprise on request
IDE supportVS Code, JetBrains, Neovim, Visual Studio, and moreVS Code, JetBrains, Neovim, Eclipse, and more
Codebase personalizationWorkspace indexing for contextual suggestionsTrains on your own codebase for personalized, team-specific suggestions
ComplianceSOC 2 certified, code reference filter availableSOC 2, GDPR-compliant, on-premise for maximum control and auditability

Verdict

GitHub Copilot is the undisputed market leader with the best overall AI suggestions and the broadest ecosystem. For most developers and teams, it is the default choice. Tabnine distinguishes itself through its unique on-premise capability and privacy focus, making it indispensable for organizations with strict security and compliance requirements. Copilot's suggestions are generally rated as slightly better, but Tabnine compensates with deeper personalization based on your own codebase and full data control.

Our recommendation

At MG Software, we use Cursor with built-in AI rather than standalone Copilot or Tabnine. For clients who prefer an IDE extension, we recommend GitHub Copilot as the default choice due to its superior suggestions and broad IDE support. For clients in regulated industries such as finance or healthcare, where code must strictly remain internal, Tabnine with on-premise deployment is the only responsible option among major AI code assistants.

Further reading

What is AI?Cursor vs GitHub Copilot comparisonGitHub Copilot vs Codeium comparison

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Frequently asked questions

Tabnine offers more privacy options, notably on-premise deployment where code never leaves your network. GitHub Copilot processes code in the cloud, although GitHub promises that code is not stored or used for training on the Business tier. For maximum data control, Tabnine is the more secure choice.
In most comparisons, GitHub Copilot is rated higher on suggestion quality, particularly due to the power of GPT-4o. However, Tabnine can deliver better results for team-specific code when trained on your own codebase, as it learns your patterns and conventions.
Yes, Tabnine offers a full on-premise solution for Enterprise customers. The AI runs entirely within your own infrastructure and no code or data leaves your network. This makes it suitable for organizations with strict compliance requirements such as GDPR, HIPAA, or SOX.

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