Tabnine

Free plan

AI code assistant with a focus on privacy and enterprise deployment

3.8

Verdict

Tabnine carved out a niche by prioritizing code privacy and on-premises deployment. The completions are competent but noticeably behind Copilot and Cursor in quality. Best suited for enterprises with strict data policies that rule out cloud-based alternatives.

Pros and cons

Pros

  • +Strong privacy story — code never leaves your environment on enterprise plans
  • +On-premises deployment option
  • +Works across many editors and IDEs
  • +Personalization adapts to your codebase patterns

Cons

  • Completion quality behind Copilot and Cursor
  • Chat capabilities are limited compared to competitors
  • Enterprise pricing is opaque

Overview

What it does

Tabnine is an AI code completion tool that integrates into your existing editor — VS Code, JetBrains IDEs, Neovim, Sublime Text, and others. It provides inline code suggestions as you type, a chat interface for code questions, and the ability to generate code from natural language. What sets Tabnine apart is its privacy-first approach: enterprise customers can run the AI models entirely within their own infrastructure, meaning no code data leaves their environment. The tool learns from your codebase patterns over time, personalizing suggestions to match your team's coding style. It supports a wide range of languages, with strongest performance in Python, JavaScript, TypeScript, Java, and Go.

Who it's for

Tabnine's target audience is enterprise development teams in regulated industries — finance, healthcare, defense — where sending code to external servers is a non-starter. If your organization has strict data residency requirements or cannot use cloud-based AI tools for compliance reasons, Tabnine may be one of your only options. The personalization feature also appeals to larger teams that want AI suggestions aligned with their internal coding standards. For individual developers or small teams without data restrictions, the value proposition is weaker — Copilot and Cursor both offer better completion quality at comparable or lower prices.

Privacy and deployment

This is Tabnine's differentiator. The enterprise plan allows full on-premises deployment, meaning the AI model runs on your own servers and no code leaves your network. This is not just a marketing claim — it is architecturally real and auditable. For organizations that have ruled out GitHub Copilot because of data handling concerns, Tabnine provides a viable alternative. The trade-off is that on-premises models tend to be smaller and less capable than cloud-hosted ones, so completion quality can be noticeably lower than what you get from Copilot or Cursor using frontier models. Whether that trade-off is acceptable depends on how much privacy constraints matter to your organization.

The bottom line

Tabnine is a competent AI code assistant that fills a specific need: AI-assisted coding for teams that cannot send code to external servers. If data privacy and on-premises deployment are requirements, Tabnine delivers. If they are not, you will get better completions and a more capable overall experience from Copilot or Cursor at similar or lower price points. The free tier is useful for basic evaluation, but the real value is in the enterprise offering — and that pricing requires a sales conversation.

Read more about Tabnine

Tabnine offers AI code completion with a privacy-first architecture. Its on-premise deployment option and code provenance guarantees make it the choice for security-conscious enterprises.

How Tabnine Is Bringing AI Coding to Security-Conscious Teams

Pricing

Basic

$0/mo

  • Short code completions
  • Basic chat
  • Limited languages

Dev

$12/mo

  • Full-line completions
  • Unlimited chat
  • All languages
  • Personalization

Enterprise

Custom

  • On-premises deployment
  • Custom models
  • SSO
  • Admin controls
  • Audit logs