Tabnine
Run enterprise-grade code completion and agentic coding with your choice of LLM (Anthropic, OpenAI, Google, Meta, Mistral) and deployment model: SaaS, VPC, on-prem, or air-gapped.
The verdict on Tabnine: Enterprise dev teams that need code completion without proprietary code leaving their infrastructure Tabnine's pitch is privacy and local-hosting control, not raw capability, and that's the actual decision to make. Pricing: Acquired by Tricentis (Jul 2026); quote-based, from $39/user/mo Code Assistant (annual) / $59/user/mo Agentic Platform (annual).
Best For
Enterprise dev teams that need code completion without proprietary code leaving their infrastructure
Standout Feature
Runs fully on-premise, keeping code inside your own servers instead of a third-party cloud
TL;DR
The pick when data sovereignty is a real requirement, not when you're choosing on capability alone.
Alternatives
Fit Score: use-case reference
How this is scoredTabnine scored 1 to 5 on five dimensions for the named use cases below. Part of our catalog-wide use-case reference, not a product-quality review rating.
On-premise code completion
3.4/5- Capability
- 4/5
- Reliability
- 3/5
- Value
- 3/5
- Ease
- 3/5
- Compatibility
- 4/5
Run code completion on team infrastructure and adapt suggestions to the team's codebase. Complex coding tasks remain a limitation, and local deployment adds hardware and operating work. Confirm the deployment quote and model-endpoint costs rather than treating the advertised per-seat starting rate as an all-in local-hosting price; IDE plugins keep assistance in the editor.
Editorial judgment grounded in this tool's own published pricing, features, and our existing pros and cons, not a certification or a measured benchmark. Product quality is assessed separately under our review methodology.
Overview
Not yet reviewedProduct quality is assessed from original evidence. How reviews work.
Tabnine is an AI code completion assistant with a strong focus on privacy and on-premise deployment, distinguishing it from cloud-first competitors in enterprise sales cycles where data sovereignty matters. Unlike GitHub Copilot or Cursor, Tabnine can run entirely within a company's own infrastructure, ensuring proprietary code never leaves the organization's servers. The model is also trainable on your own codebase: Tabnine can fine-tune on your team's existing code to produce suggestions that match your specific patterns, naming conventions, and architectural decisions rather than generic public-code patterns.
Tabnine's current pricing, since its acquisition by Tricentis, is enterprise-focused: Code Assistant is $39/user/month and the Agentic Platform (adding agentic workflows and the Context Engine) is $59/user/month, both billed annually, with unlimited usage when bringing your own LLM endpoint or reserved-token billing at provider prices plus a 5% handling fee when using Tabnine-provided model access. There is no individual free tier or $12/month plan on the current pricing page. Teams at regulated companies, financial services, healthcare, defense contractors, frequently choose Tabnine specifically because it satisfies security review requirements that cloud-only tools cannot.
The source of the legacy catalog rating and review count has not been substantiated. Neither is presented here as a verified review rating or included in review structured data.
Workflow Fit Scores are separate, use-case-specific editorial judgments, not user-review averages. Read the Fit Score methodology.
- • Strong privacy with local mode
- • Enterprise-grade controls
- • Bring-your-own-LLM option gives unlimited usage with no per-token metering when using your own model endpoint
- • Team customization on your codebase
- • Less impressive than Cursor for complex tasks
- • Local mode requires beefy hardware
- • Chat features are basic
Key Features
- Local model option
- Team fine-tuning
- 30+ languages
- IDE plugins
- Zero data retention option
Trust & Data
Verified 2026-08
- Training on your data
- NoTabnine's own docs describe a no-train, no-retain policy that applies regardless of which model is used, including for Enterprise private deployments, with code context discarded immediately after each completion. Enterprise customers can separately opt into a private fine-tuned model trained only on their own code, isolated to their own environment.
- Compliance
- SOC 2, ISO/IEC 27001, ISO 9001:2015, GDPR
- Retention
- Tabnine states it does not retain information longer than necessary to provide the service and will erase personal information on request, unless retention is required for legal claims; code context itself is discarded immediately after each completion.
- Export
- Partial export
Sources: docs.tabnine.com, tabnine.com/code privacy, tabnine.com/privacy policy, trust.tabnine.com
As published by the vendor. Verify independently before purchase decisions.
Our Take
If data residency or keeping code off third-party servers is a real requirement for your team, that tradeoff against Cursor's stronger multi-file agent features is worth making. If it isn't a real requirement, Cursor wins on output quality and this becomes a harder sell at a comparable price.