Braintrust vs. HoneyHive

Braintrust and HoneyHive are two AI platforms designed to enhance development workflows, but they take different approaches. Braintrust focuses on LLM evaluation, helping teams assess and improve model performance, while HoneyHive is centered around AI-driven automation, streamlining operational processes. Both offer valuable capabilities, yet they also come with limitations that may require additional integrations to build a fully scalable AI solution.

Beyond these two options, there is another platform that offers a more complete approach. Sandgarden provides a broader range of features that bridge the gaps left by Braintrust and HoneyHive, creating a more efficient and flexible AI development experience. This comparison will break down the key differences between Braintrust and HoneyHive while also introducing an alternative that delivers more advanced capabilities.

Evaluating Braintrust’s AI performance testing against HoneyHive’s workflow automation tools.

Feature Comparison

Prompt Management

LLM Evaluation

Version Control

Analytics

Tracing

Metrics

Logging

API First

Self-Hosted

On-Prem Deployment

Dedicated Infrastructure

Access Control

SSO

Data Encryption

Braintrust

Braintrust offers an LLM evaluation suite, providing tools for testing and optimizing model performance over time. With a focus on experimentation and a user-friendly testing library, users can quantify results against AI initiatives.

At the core of Braintrust is a software development kit (SDK) that integrates into existing infrastructure and CI/CD pipelines. This enables continuous evaluations that offer insights into LLM accuracy and reliability. As a third-party evaluator Braintrust is model agnostic, allowing it to work across multiple systems and platforms.

That said, Braintrust is not without its drawbacks:

Limited ability to move workloads to production
Limited scalability for large-scale operations
Unwieldy for less technical users

View more Braintrust alternatives

HoneyHive

HoneyHive provides evaluation, testing, and observability tools for teams building GenAI applications. It allows users to trace execution flows, customize event feedback, and create or fine-tune datasets from production logs. Businesses can leverage these tools to strengthen the quality of their AI workflows.

Along with a monitoring suite, HoneyHive offers a prompt management and playground feature. This helps simplify the iteration process and gives prompt engineers and developers a collaborative workspace to run and evaluate prompts. In sum, HoneyHive helps teams efficiently integrate performant and reliable AI powered workflows into their applications.

That said, HoneyHive is not without its drawbacks:

Doesn’t facilitate building new LLM-based applications
Limited to teams with existing AI expertise
Limited deployment options

View more HoneyHive alternatives

Sandgarden

Sandgarden provides production-ready infrastructure by automatically crafting the pipeline of tools and processes needed to experiment with AI. This helps businesses move from test to production without figuring out how to deploy, monitor, and scale the stack.

With Sandgarden you get an enterprise AI runtime engine that lets you stand up a test, refine and iterate, all in support of determining how to accelerate your business processes quickly. Time to value is their ethos and as such the platform is freely available to try without going through a sales process.

Conclusion

Braintrust and HoneyHive each offer distinct advantages for AI teams but ultimately lack the comprehensive functionality needed for a seamless development experience. Braintrust is primarily focused on LLM evaluation, providing useful tools for assessing model performance, but it falls short in areas like prompt management, analytics, and security. HoneyHive, on the other hand, is designed to streamline AI-powered automation, yet it lacks robust version control, logging, and flexible deployment options. Both platforms require teams to rely on additional third-party tools to achieve a fully integrated AI workflow.

Sandgarden eliminates these inefficiencies by offering a complete AI development platform with built-in analytics, structured prompt management, and enterprise-grade security. Unlike Braintrust and HoneyHive, Sandgarden provides seamless version control, encryption, and access control, ensuring both flexibility and compliance. With its API-first approach and scalable deployment options, Sandgarden empowers AI teams to innovate faster without the burden of fragmented toolsets. For organizations that demand efficiency, security, and scalability in AI development, Sandgarden is the clear choice.