Tabnine vs. Codeium

The demand for reliable,accurate AI coding assistants is growing fast (let’s just say our sales team’s inboxes are currently flooded). Many enterprise R&D teams are currently exploring the capabilities of different tools,but it can be challenging to find an AI platform that not only provides accurate coding assistance but also provides enterprise-grade security and privacy while meeting the specific needs of each R&D team.

This post compares Tabnine Enterprise to Codeium for Enterprises,based on a range of key parameters that are critical to developers and R&D enterprise teams. By examining the capabilities of each tool,we aim to help you make an informed decision about which AI code assistant is right for your needs:

• Price: Price point for each user in the organization
• Context-awareness: What level of context can the different AI models take into account when providing suggestions? 
• Open source compliance: Each company’s practices regarding the code that the AI models are trained on
• Ability to train AI models on private code: The code that the AI models can be trained on
• Code privacy: Privacy controls offered by each solution
• Enterprise deployment: Deployment options available to the customer

Table comparison of Tabnine Enterprise vs. Codeium for Enterprises

Drilling down further into Tabnine Enterprise vs. Codeium for Enterprises 

This section takes a more in-depth look at how the two solutions compare.

Price

Tabnine Enterprise charges $20 per user,while the cost of Codeium for Enterprises isn’t as straightforward and depends on the customer and their needs.

Inline code completions within the IDE and chat

Both Tabnine and Codieum offer inline code completions within the IDE,as well as chat.

Open source compliance

The use of code to train an AI solution’s models can have legal ramifications for customers using the solution.

Tabnine’s AI models are exclusively trained on code licensed under permissive licenses. This approach guarantees full transparency and attribution,which is critical in ensuring that Tabnine isn’t subject to the copyleft provisions of GPL licenses. By adhering to this policy,Tabnine can safeguard its users and customers from potential legal repercussions.
Furthermore,this practice aligns with Tabnine’s objective of respecting the original intent of code authors and maintaining good faith with the wider developer community.

It’s unclear whether or not Codeium’s models are trained on OpenAI or if they’re trained on nonpermissive licenses.

Air-gapped deployment

Tabnine Enterprise offers customers the option to self-host,deploying on the customer’s VPC or on-premises. Tabnine also supports cases where the customer network is air-gapped and can’t access the internet.

On the other hand,Codeium allows its enterprise customers the option of deploying on the customer’s VPC only. Running on a cloud (even a private cloud) means that code needs to leave the premises,which isn’t viable for some enterprises.

Ability to train AI models on private code

Tabnine Enterprise allows its customers to connect their own code repositories to its AI models,with the option to link specific models to particular repositories based on team or project needs. This feature allows the models to adapt and learn the organization’s unique coding practices,naming conventions,and preferred styles,resulting in highly relevant and context-sensitive code suggestions.

By leveraging this functionality,companies can streamline the onboarding and training process for new team members and junior developers,significantly reducing the burden on senior developers. The AI models learn from the company’s own code repositories,resulting in improved accuracy and efficiency in suggesting code,while maintaining consistency with the organization’s established practices.

Codeium trains its models on different coding languages and then fine-tunes the models on its customer’s codebase.

Code privacy 

Tabnine Enterprise prioritizes the confidentiality and security of its enterprise customers’code,ensuring that customer code and training data are never transmitted to Tabnine or used to train its general AI models. This guarantees that customers’sensitive and proprietary information remains strictly private and protected.

Additionally,Tabnine Enterprise offers flexible deployment options for its customers,allowing them to install the tool on their virtual private cloud (VPC) or on-premises. By enabling customers to have full control over their data and where it is stored,Tabnine Enterprise ensures that their customers’privacy needs are fully met.

Codeium,however,uses its customer’s code for telemetry purposes,although it’s possible to opt out of this option.

About Tabnine 

Since launching our first AI coding assistant in 2018,Tabnine has pioneered generative AI for software development. Tabnine helps development teams of every size use AI to accelerate and simplify the software development process without sacrificing privacy and security. Tabnine boosts engineering velocity,code quality,and developer happiness by automating the coding workflow through AI tools customized to your team. With more than one million monthly users,Tabnine typically automates 30–50% of code creation for each developer and has generated more than 1% of the world’s code.

Unlike generic coding assistants, Tabnine is the AI that you control:

It’s private. You choose where and how to deploy Tabnine (SaaS,VPC,or on-premises) to maximize control over your intellectual property. Rest easy knowing that Tabnine never stores or shares your company’s code.  

It’s personalized. Tabnine delivers an optimized experience for each development team. It’s context-aware and delivers precise and personalized recommendations for code generation,code explanations,and guidance,and for test and documentation generation.

It’s protected. Tabnine is built with enterprise-grade security and compliance at its core. It’s trained exclusively on open source code with permissive licenses,ensuring that our customers are never exposed to legal liability.

Tabnine provides accurate and personalized code completions for code snippets,whole lines,and full functions. The Tabnine in IDE Chat allows developers to communicate with a chat agent in natural language and get assistance with various coding tasks,such as: 

• Generate new code 
• Generating unit tests 
• Getting the most relevant answer to your code
• Mention and reference code from your workspace
• Explain code
• Extending code with new functionality
• Refactoring code
• Documenting code
• Onboarding agent and more

Learn more how to use Tabnine AI to analyze,create,and improve your code across every stage of development:

Try Tabnine for free today or contact us to learn how we can help accelerate your software development.