Sandgarden vs. Vellum

Vellum is an AI-powered platform that helps companies build and deploy large language model (LLM) applications in production. Sandgarden is a modularized platform that enables product-driven businesses to rapidly prototype, iterate, and deploy their AI integrations.

Let's compare Vellum with Sandgarden, and see which option may work better for your business.

Vellum 

Vellum offers a visual interface to generate AI workflows simply without extensive experience with LLMs. This allows engineering and product teams to effectively collaborate on delivering AI solutions for various business needs. 

Vellum excels in simplifying the basic processes for working with LLMs. Prompt engineering, semantic search, prompt chaining, and RAG are basic tools useful to any business looking to experiment with AI. Ease of use is augmented by thorough documentation and tutorials, further enabling users of various abilities to contribute to a company’s AI initiatives.

That said, Vellum is not without its drawbacks:

  • Less capable with complex implementations
  • Limited flexibility and control over underlying infrastructure
  • Hosted deployment options only

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. 

In contrast to Vellum’s difficulty with more complex integrations, Sandgarden’s strength is its ability to chain together disparate data sources and tools to solve the most challenging problems. Similarly, Vellum’s lack of control over underlying infrastructure is where Sandgarden shines, with the granularity to address very specific needs. Finally, whereas most Vellum customers are relegated to their cloud, with Sandgarden your data and systems remain fully under your direction without concerns about data, privacy, or security.

Feature Comparison

Sandgarden
Workflow Iteration
Prompt Management
LLM Evaluation
Version Control
Analytics
Monitoring
Tracing
Metrics
Logging
Deployment
API First
Self-Hosted
On-Prem Deployment
Dedicated Infrastructure
Controls
Access Control
SSO
Security
Data Encryption

Conclusion

Both Sandgarden and Vellum help businesses integrate AI into their applications. Sandgarden specializes in modularized and rapid prototyping in an “already production-ready” way. The flexibility and fine-grained control gives teams an ability to build innovative solutions for infinite use cases. Plus, with both self-hosted and on-premise deployment options, companies are always in complete control.

Vellum is an easy to use framework for developing basic AI solutions swiftly. It’s intuitive UI and supporting documentation make it accessible to a wide audience. However, its limited scope of operations and lack of in-house deployment options may give some users pause.

For any enterprise looking to solve a wide array of business problems with peace of mind, Sandgarden stands out. With Sandgarden you can get back to doing what you do best - running your business - as opposed to being in the AI business. 

To learn more about Sandgarden, visit sandgarden.com.


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