Enterprise AI Coding: Copilot vs Sourcegraph Amp vs Tabnine (Updated Feb 2026)
An updated comparison of enterprise AI coding platforms: GitHub Copilot Business/Enterprise, Sourcegraph Amp (formerly Cody), and Tabnine---with current pricing, deployment options, and security controls.
Editorial Team
The AI Coding Tools Directory editorial team researches and reviews AI-powered development tools to help developers find the best solutions for their workflows.
Enterprise buyers need security, deployment flexibility, and predictable pricing---not demos. This guide focuses on three leading enterprise options and what each verifiably offers in February 2026.
Quick Comparison
| Feature | GitHub Copilot Business | GitHub Copilot Enterprise | Sourcegraph Amp | Tabnine |
|---|---|---|---|---|
| Pricing | $19/user/month | Custom | Contact sales | Contact sales |
| Hosting | SaaS (cloud-only) | SaaS (cloud-only) | Self-hosted, private cloud, or managed | SaaS, VPC, or on-prem |
| Models | Multi-provider (GitHub-managed) | Same + GitHub.com context | Frontier models with Sourcegraph context | Tabnine proprietary models |
| SSO/SAML | Yes | Yes | Yes | Yes |
| Admin controls | Org policies, block public code | Same + GitHub.com features | Repo/model policies, RBAC | Role-based policies, audit logs |
| Data residency | Cloud-only | Cloud-only | Self-host/VPC supported | VPC/on-prem supported |
| Best for | GitHub-first teams, fast rollout | GitHub.com-native workflows | Large/complex codebases, on-prem | Privacy-first, regulated, air-gapped |
GitHub Copilot Business and Enterprise
Pricing
- Business: $19/user/month
- Enterprise: Custom pricing (contact sales)
- Free 30-day org trials typically available
Where It Fits
Teams already on GitHub that want the lowest friction rollout and, for Enterprise, deep GitHub.com integration.
Key Capabilities
- Chat and completions in VS Code, JetBrains, and Visual Studio
- Policy controls to block public code suggestions
- SSO/SAML and org-wide license management
- Enterprise adds GitHub.com integration: PR summaries, issue/discussion Q&A, repo-aware chat
- Data from Business/Enterprise accounts is not used to train foundation models (per GitHub policy)
Trade-offs
Cloud-only with no self-hosting or BYO model option. Strongest for GitHub-centric organizations; limited for mixed VCS environments.
Sourcegraph Amp (formerly Cody)
Pricing
Contact sales. No public per-seat pricing. Free enterprise trials are available with unlimited access for a defined engineering group.
Where It Fits
Large, multi-repo codebases that benefit from Sourcegraph's code graph and enterprises needing self-hosted or private cloud deployment.
Key Capabilities
- Code graph context: Sourcegraph's code graph and search provide highly relevant responses across large mono-repos and multi-repo setups
- Agentic coding flows: Amp mode for autonomous multi-step tasks plus chat/completions in IDE and web
- Deployment flexibility: Self-hosted, private cloud, or managed; admin controls for model/repo policies and auditability
- VCS integration: Works with GitHub, GitLab, and existing Sourcegraph search infrastructure
- Enterprise trials: Includes hands-on guidance for configuring agents and workflows
Trade-offs
Requires Sourcegraph deployment and a contract. Best returns for organizations with large codebases that already use (or plan to adopt) Sourcegraph.
Tabnine
Pricing
Contact sales for custom pricing. Tabnine has moved to a quote-based model with no publicly listed per-seat rates. Enterprise/VPC/on-prem available.
Where It Fits
Privacy-first and regulated environments that require zero data retention and on-prem or VPC deployment.
Key Capabilities
- Enterprise Context Engine: Builds a structured model of your architecture, dependencies, and standards for more accurate suggestions
- Agentic platform: AI agents for reviews, tests, and refactors with org policy controls
- Deployment options: SaaS, VPC, on-prem, or air-gapped; zero data egress architecture
- Security posture: SOC 2/ISO, zero data retention option, RBAC, audit logging
- Model approach: Works with multiple LLMs; customers choose their model with no hidden markups
- Reported outcomes: Up to 50% faster resolution, 80% token reduction, 2x agent accuracy (per Tabnine benchmarks)
Trade-offs
Higher cost than Copilot Business. Smaller ecosystem than GitHub-native tools. Requires sales engagement for pricing.
Head-to-Head Comparisons
Amp vs Copilot Enterprise
| Factor | Sourcegraph Amp | Copilot Enterprise |
|---|---|---|
| Pricing | Contract-based | Custom |
| Hosting | Self-host/VPC/managed | Cloud-only |
| Context | Sourcegraph code graph + search | GitHub.com repo indexing |
| Best for | Large multi-repo, on-prem needs | GitHub-centric SaaS teams |
Choose Amp for on-prem deployment and code graph context. Choose Copilot Enterprise for GitHub.com-native workflows.
Tabnine vs Amp
| Factor | Tabnine | Sourcegraph Amp |
|---|---|---|
| Pricing | Contact sales | Contact sales |
| Hosting | SaaS/VPC/on-prem/air-gapped | Self-host/VPC/managed |
| Models | LLM-flexible with zero retention | Frontier mix + Sourcegraph context |
| Best for | Privacy-first, air-gapped | Complex codebases needing graph context |
Copilot Business vs Enterprise
| Factor | Business | Enterprise |
|---|---|---|
| Price | $19/user/month | Custom |
| GitHub.com integration | IDE-focused | Adds PR/issue/wiki chat |
| Best for | Cost-conscious GitHub teams | Heavy GitHub.com users |
Decision Guide
| Requirement | Recommendation |
|---|---|
| GitHub-centric, fast rollout | Copilot Business |
| GitHub.com PR/issue workflows | Copilot Enterprise |
| Large codebases with on-prem needs | Sourcegraph Amp |
| Air-gapped or zero data retention | Tabnine |
| Mixed VCS (GitHub + GitLab) | Sourcegraph Amp |
| Lowest list price per seat | Copilot Business ($19/user) |
Sources
- GitHub Copilot plans: github.com/features/copilot/plans
- Sourcegraph Amp: sourcegraph.com/amp and sourcegraph.com/contact/amp-enterprise-trial
- Tabnine pricing and security: tabnine.com/pricing-enterprise-context-engine and tabnine.com/security
Need help choosing? Explore our full directory for detailed reviews and comparisons of all enterprise AI coding tools.
Get the Weekly AI Tools Digest
New tools, comparisons, and insights delivered regularly. Join developers staying current with AI coding tools.
Tools Mentioned in This Article
Workflow Resources
Cookbook
AI-Powered Code Review & Quality
Automate code review and enforce quality standards using AI-powered tools and agentic workflows.
Cookbook
Debugging with AI Agents
Systematically debug complex issues using AI coding agents with structured workflows and MCP integrations.
Cookbook
DevOps & Infrastructure with AI Agents
Automate infrastructure provisioning, CI/CD pipelines, and monitoring with AI agents.
Cookbook
Auto-Generating Documentation with AI
Auto-generate and maintain API docs, READMEs, and technical documentation with AI agents.
Skill
Configuring MCP servers
A cross-tool guide to setting up Model Context Protocol servers in Cursor, Claude Code, Codex, and VS Code, including server types, authentication, and common patterns.
Skill
PR review readiness checklist
A structured checklist for preparing AI-assisted code changes for human review, ensuring every PR includes context, evidence, risk notes, and rollback instructions.
MCP Server
AWS MCP Server
Open source MCP servers from AWS Labs that give AI coding agents access to AWS documentation, best practices, and contextual guidance for building on AWS.
MCP Server
Docker MCP Server
Docker MCP Gateway orchestrates MCP servers in isolated containers, providing secure discovery and execution of Model Context Protocol servers across AI coding tools.
MCP Server
Figma MCP Server
Official Figma MCP server that brings design context, variables, components, and Code Connect data into AI coding sessions for design-to-code workflows.
MCP Server
Firebase MCP Server
Experimental Firebase MCP server that gives AI coding agents access to Firestore, Auth, security rules, Cloud Messaging, and project management through the Firebase CLI.
Frequently Asked Questions
Which is the lowest cost for enterprises?
Which tools offer self-hosting or private deployment?
Can I control which models run?
Which is best for regulated or air-gapped environments?
Related Articles
Windsurf vs Cursor: Which AI IDE in 2026?
A practical comparison of Windsurf and Cursor in 2026: pricing, Cascade vs Composer workflows, credit systems, and when to choose each AI IDE.
Read more →ComparisonEnterprise AI Agents: Claude Cowork vs OpenAI Frontier
A practical comparison of enterprise AI coding agents: Claude Cowork, OpenAI offerings, and what matters for large organizations.
Read more →ComparisonDeepSeek vs GPT for Coding: Budget vs Premium (2026)
A practical comparison of DeepSeek Coder and GPT models for software development: cost, quality, context, and when to choose budget vs premium AI coding.
Read more →