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//Tabnine vs. Codeium//

Unlike Codeium, Tabnine gives you full control over our AI code assistant by letting you choose what data it uses to add context from your environment. You can also set the privacy and protection trade-offs that fit your security and compliance policies.
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Why enterprises and individual developers choose Tabnine over Codeium

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Privacy

Maintain complete control over your data. Your code isn’t stored, isn’t shared with third parties, and isn’t used to train our models.

Control the deployment location. Use Tabnine as a secure SaaS offering (in a multitenant or a single-tenant environment) or do a fully private installation (on-premises or on VPC) to ensure that your code stays in the boundaries of your corporate network. 

Get industry-standard compliance. Tabnine is compliant with SOC 2 Type 2, GDPR, and ISO 9001.

IP protection

Tabnine eliminates IP infringement worries by giving you the option to use license-compliant models. Get full transparency around the data used to train our proprietary models.

IP indemnification is also included for further peace of mind.

Personalization

Get highly personalized recommendations. You control what data Tabnine uses to add context from your environment. Tabnine leverages locally available data in the developer’s IDE and lets users connect Tabnine to their organizational code repos to gain global context.

Tabnine also offers model customization, which is extremely valuable when you have code in a bespoke programming language or a language that is underrepresented in the training dataset (like System Verilog). 

Portability

Use Tabnine on any SCM platform. That includes GitHub as well as GitLab, BitBucket, or any Git-based platform.

Use new state-of-the-art LLMs. Tabnine admins have full control over choosing specific models and can connect Tabnine to an LLM endpoint inside their corporate network if needed.

Tabnine integrates with all the major IDEs and supports more than 80 programming languages and frameworks.

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Tabnine is honored to be recognized by leading analyst firms
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Tabnine is proud to be recognized in Gartner® Critical Capabilities for AI code assistants.

Of the 12 vendors evaluated by Gartner®, here’s how Tabnine ranked.

Tabnine ranked 1st for

  • Code Generation Use Case
  • Code Debugging Use Case
  • Code Explanation Use Case

Tabnine ranked 2nd for

  • Code Modernization Use Case
  • Artifact Building and Testing Use Case

Download the report

Tabnine is featured as a Luminary in Everest Group’s Innovation Watch Assessment for Generative AI Applications in Software Development.

Download the report

Tabnine is recognized in Omdia’s Market Radar for AI-Assisted Software Development

Download the report
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Tabnine: A more mature product

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Tabnine is the originator of the AI code assistant category, having introduced our first AI-based code completion tool for Java in the IDE in June 2018. Tabnine is now the leading AI code assistant on the market with one million monthly active users. Codeium is a relatively new product (released in late 2022), which is reflected by its significantly lower product downloads and users, and the state of its product docs and support.
Number of downloads
(as of September 3, 2024)
Visual Studio Code
7,990,517
1,474,314
JetBrains IDEs
3,929,996
673,292
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Side-by-side comparison  

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Check out this detailed comparison of the key capabilities of Tabnine and Codeium.
Code completion
Autogenerates code snippets and full functions as you type
Generates code automatically from written comments
AI chat assistance
Ask general coding questions and get relevant recommendations
Use natural language to generate code based on your specifications
Automatic generation of documentation for selected code
Recommend fixes to selected code with error(s)
Automatic generation of comprehensive test plans with detailed test cases for a specific function or code in your project
Plain language explanation of the purpose and behavior of selected code
Ability to update or refactor selected code
Dedicated onboarding agent to enable developers to quickly onboard to a new project
Tabnine's Code Explorer (a built-in command in Tabnine Chat) enables developers to onboard quickly by returning a high-level summary of the key elements of the project, including things like runnable scripts, key dependencies, and overall structure. It also suggests possible follow-up questions about this summary, allowing the developer to dive further into the relevant information for their current task.
Codeium does not offer a dedicated onboarding agent.
Privacy
Ability to control the deployment location (SaaS, VPC, on-premises)
Customers can consume Tabnine as a secure SaaS offering (in a multitenant or a single-tenant environment) or do a fully private installation (on-premises or on VPC) to ensure that their code stays in the boundaries of their corporate network and isn’t shared with any external party.
Support for fully air-gapped deployments
SOC 2 Type 2 compliance
Tabnine offers SOC 2 Type 2 compliance, which is a critical compliance that examines how well the product’s security controls perform over a prolonged period of time.
GDPR compliance
ISO 9001 compliance
Tabnine offers ISO 9001 compliance, which is a globally recognized standard for quality management that demonstrates a company's commitment to maintaining high quality, meeting customer expectations, and improving performance.
Codeium does not offer ISO 9001 compliance.
Zero data retention policy (both for code and usage metrics)
Tabnine offers a zero data retention policy. When using Tabnine’s proprietary models, we don’t store customer code, don’t share customer code or usage data with third parties, and don’t use customer code to train our models.
Protection
Enterprise-grade security, confirmed by industry certifications
Availability of license-compliant models
Tabnine eliminates concerns around IP infringement. We’ve trained our proprietary models (i.e., Tabnine Protected model for Chat, and the universal model for code completion) exclusively on permissively licensed code. This ensures that the recommendations from Tabnine never match any proprietary code and removes any concerns around legal risks associated with accepting the code suggestions. Unlike Sourcegraph Cody, we’re transparent about the data used to train our proprietary model and share it with customers under NDA.
Indemnification against IP violations for any and all generated code
Models
Proprietary models for code completions
Tabnine has its own proprietary model that is purpose-built for software development teams. The proprietary model is fully private and protected and delivers high performance without the risk of intellectual property violations or exposing your code and data to others.
Switchable models for chat
Tabnine currently offers users 7 different model choices for Tabnine Chat: two custom-built, fully private models from Tabnine, plus popular models from third parties such as OpenAI, Cohere, Anthropic and Mistral. This flexibility enables users to pick the right model based on their use case or a project. Tabnine admins at enterprises have complete control and can choose any specific models for their teams. They can also connect Tabnine to an LLM endpoint inside their corporate network if needed. Tabnine is committed to adding support for new, state-of-the-art LLMs as they become available. This prevents LLM lock in, future-proofs your AI strategy, and enables you to take advantage of all the innovation happening in this space.
Codeium uses its proprietary model to power its AI chat. In the future, they plan to introduce support for GPT-4.0, Claude 3.5 Sonnet, and Llama models for Chat. (This capability is in beta and is not widely available.) These limited model options prevent users from leveraging the new and powerful models as they become available.
Personalization
Uses local code awareness to create more relevant recommendations
Tabnine leverages locally available data in the developer’s IDE, including variable types used near the completion point in the code, comments you’ve added, open files you’ve interacted with, imported packages and libraries, open projects, and many more. We’ve seen that personalized AI recommendations based on awareness of a developer’s IDE are accepted 40% more often than AI suggestions generated without these integrations.
Codeium’s Chat considers the context only for a handful of operations. Context is not available when using Codeium Chat for performing refactoring, explaining, or generating docstring operations, thus reducing the relevancy and accuracy of the results.
Uses access to your company codebase(s) to create more relevant recommendations
Ability to train custom models against your organization’s code
Tabnine offers model customization: you can fine-tune our proprietary model using your own code to create a custom model. Model customization is extremely valuable when you have code in a bespoke programming language or a language that’s underrepresented in the training dataset (such as System Verilog).
Product tiers and pricing
Free tier
Pro tier (for individual developers and small teams)
Enterprise tier
IDEs
Support for the development environments your teams use
Tabnine includes support for VS Code, Visual Studio, the JetBrains family of IDEs, Eclipse, and Neovim.
Programming languages
Support for the programming languages your teams use
Product maturity
Number of users and downloads of IDE plugins
Tabnine is the originator of the AI code assistant category, having introduced our first AI-based code completion tool for Java in the IDE in June 2018. Tabnine is now the leading AI code assistant on the market with a million monthly active users.
Codeium is a relatively new product (released in late 2022), which is reflected by its significantly lower product downloads and users, and the state of its product docs and support.
High-quality product docs
Availability of tech support across all tiers
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Resources

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Tabnine vs. Codeium blog post >
Product Docs >
Tabnine Plans and Pricing >
AI Code Assistant Buyer’s Guide >