Rivet vs. HoneyHive

Rivet and HoneyHive are two AI platforms designed to streamline workflow automation, but they take different approaches. Rivet provides a no-code interface for building AI-driven applications, making it accessible for teams without extensive programming expertise. HoneyHive, on the other hand, focuses on AI-powered automation to optimize business processes. While both platforms offer useful capabilities, they also have limitations that may require additional integrations to create a fully scalable AI solution.

For teams looking for a more comprehensive and efficient option, there is another alternative to consider. Sandgarden builds on the strengths of both Rivet and HoneyHive while addressing their weaknesses, delivering a more flexible and powerful AI development experience. This comparison will examine how Rivet and HoneyHive stack up while also introducing an alternative that offers a more advanced and scalable solution.

Rivet’s AI application builder compared with HoneyHive’s workflow automation AI.

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

Rivet

With Rivet developers can design, debug, and collaborate on LLM prompt graphs, and deploy them in their own environment. The tool’s graph-based approach helps teams quickly identify performance and reliability issues across a range of workflows.

As a prompt IDE, Rivet simplifies the iteration process and allows prompt engineers to work with software developers to build AI agents. Alongside this is Trivet, a testing library for programmatically running tests on Rivet projects, providing a way to validate the functionality of their graphs. In sum, Rivet helps businesses efficiently integrate performant and reliable AI powered workflows into their applications.

That said, Rivet is not without its drawbacks:

Limited ability to move workloads to production

Limited scalability for large-scale operations

Can be cumbersome with a fair amount of manual work needed

View more Rivet 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

Rivet and HoneyHive take different approaches to AI development, but both have notable shortcomings. Rivet’s no-code interface simplifies workflow creation, making it appealing for rapid prototyping, yet it lacks critical features like advanced security, version control, and in-depth analytics. HoneyHive, on the other hand, focuses on AI-powered automation but doesn’t provide the flexibility or control needed for teams managing complex AI models. Since neither platform offers a fully integrated environment, users often find themselves patching together third-party tools to cover missing functionalities.

Sandgarden delivers a more powerful and cohesive solution, bringing together structured prompt management, real-time analytics, and enterprise-grade security in a single, streamlined platform. Unlike Rivet and HoneyHive, Sandgarden ensures complete control over AI development with seamless version tracking, robust encryption, and flexible deployment options. Whether scaling AI applications or fine-tuning workflows, Sandgarden provides the most efficient and secure foundation for long-term success.