Cake vs. Databricks

Databricks is a great solution, but if you're looking for an AI/ML platform you should give Cake a look as well. Unlike Databricks, Cake lets you:

Build on the AI cutting edge, not in a walled garden
Take advantage of best-of-breed vs. monolithic architecture
Avoid vendor lock-in
Leverage an AI/ML-native, not data-native, platform

THE CAKE ADVANTAGE

Unlike Databricks, Cake lets you tap the power of cutting-edge open-source

While there's no doubt that Databricks is a great product, it was built more as a data warehousing solution with analytics tools built on top. Cake, on the other hand, was built from the ground up as an open-source AI/ML powerhouse.

Avoid the "walled garden"

Cake moves at the speed of open source. Where proprietary platforms like Databricks wait to integrate the latest tools, Cake is built to adopt innovation as it happens. Whether it’s a new LLM framework, a fresh vector store, or an emerging evaluation method, you can plug it in and go. No waiting, no gatekeeping.

Composable, not monolithic

Cake supports seamless integration with hundreds of open source components, letting you build exactly the stack you need. From vector DBs and model runners to orchestrators and RAG frameworks, Cake enables best-of-breed architecture without forcing you into a one-size-fits-all platform.

AI/ML-native, not data-native

Databricks started as a data platform. Cake was purpose-built for LLMs, GenAI workloads, and modern ML ops. It handles everything from model fine-tuning and retrieval pipelines to inference scaling and observability out of the box and without the need to retrofit data tooling for AI use cases.

Avoid vendor lock-in

Cake is cloud-agnostic and vendor-neutral by design. Unlike Databricks, which ties you into its lakehouse architecture and managed runtime, Cake lets you run across AWS, GCP, Azure, or on-prem without being locked into any specific cloud, format, or toolchain. Your infra, your rules.

OUR SOLUTION

Hundreds of best-in-class components, no tradeoffs

Cake gives you a third option: a platform that allows you to choose the best, most advanced AI components while at the same time being able to get up and running quickly on a secure, consolidated platform. It’s the control of a “build” with the speed of a “buy.”

Comprehensive

A curated, end-to-end selection of fully managed, best-in-class commercial and open source AI tools.

Integrated

Pre-built integrations across the full breadth of components needed to move an AI application into production.

Accelerated

Pre-built integrations across the full breadth of components needed to move an AI application into production.

Frontier

Get access to new versions of frontier AI components as soon as they’re released.

Command

A centralized command over a highly distributed system - a single-pane of glass for oversight and collaboration on AI projects.

Open

A federation of open-source components with all the velocity, security, and exportability benefits of the open source community, all with enterprise-grade security and compliance.

“

"Our partnership with Cake has been a clear strategic choice – we're achieving the impact of two to three technical hires with the equivalent investment of half an FTE."

Scott Stafford
Chief Enterprise Architect at Ping

Read The Case Study

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"With Cake we are conservatively saving at least half a million dollars purely on headcount."

CEO
InsureTech Company

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"Cake powers our complex, highly scaled AI infrastructure. Their platform accelerates our model development and deployment both on-prem and in the cloud"

Felix Baldauf-Lenschen
CEO and Founder

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