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AWS BEDROCK · VERTEX AI · AZURE AI FOUNDRY · GLEAN AI

The AWS Bedrock, Vertex AI and Glean AI Alternative

Evaluate AWS and Amazon Bedrock, Vertex AI, Azure AI Foundry, or Glean AI: 300+ interchangeable components, with the platform and its data inside your own infrastructure.

300+
Pre-Built Components
2-4
Weeks to Deploy
0
Vendor Lock-In

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Quick overview of pricing, features, and deployment options.

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THE CHALLENGE

Single-Vendor AI Platforms Lock You to One Catalog

AWS Bedrock, Azure AI Foundry, and Vertex AI keep the model catalog, the contract, and the region model inside one vendor. Glean AI, Palantir AIP, Harness AI, Cohere North, and Snowflake Cortex bring real capability but still leave you assembling the platform around them. Shakudo is that platform, in your infrastructure.

Use Any Tool, Swap Anything

Shakudo integrates 300+ components (databases, ML frameworks, orchestrators, BI tools) and lets you swap any of them without rewriting your stack.

Runs in Your Infrastructure

Deploy on AWS, Azure, GCP, or on-premises, air-gapped if required. Run Bedrock, Vertex AI, Foundry, or a model you host yourself: the platform and its data stay in your environment, with no proprietary runtime. Calls to a hosted model go to that provider under your own contract.

No Platform Markup

Eliminate per-seat licensing, proprietary compute markups, and forced bundling. Use your own cloud accounts and negotiate your own rates.

CAPABILITIES

Everything Legacy Platforms Offer, Without the Lock-In

A unified data and AI ecosystem that runs on your terms, with your tools, in your infrastructure.

ONE UNIFIED ECOSYSTEM

One Ecosystem for the Entire Data Stack

Ingestion, transformation, orchestration, ML training, model serving, and BI, all managed through a single platform. No more stitching together point solutions or managing separate vendor contracts.

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One Ecosystem for the Entire Data Stack
CONNECT ONCE. ACCESS ALL.

5,000+ Connectors to Most Systems You Run

Connect to most databases, APIs, SaaS tools, and data warehouses your organization runs. One integration layer replaces dozens of custom pipelines and third-party ETL licenses.

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5,000+ Connectors to Most Systems You Run
ANY CLOUD OR ON-PREM

Deploy Wherever Kubernetes Exists

AWS, Azure, GCP, or your own data center. Shakudo runs anywhere Kubernetes runs, so Bedrock, Vertex AI, Azure AI Foundry, Snowflake Cortex, Cohere, and open-weight models sit side by side with consistent security and governance. Move clouds without rebuilding.

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Deploy Wherever Kubernetes Exists

Shakudo vs. Single-Vendor AI Platforms

Shakudo

Cloud-agnostic, deployed in your infra

  • 300+ components plus your choice of model: Bedrock, Vertex AI, Foundry, Cortex, or Cohere
  • Deploys in your infrastructure on any cloud or on-prem
  • Lower cost than proprietary licensing: you run on your own cloud rates
  • Swap any component without rewriting your stack
  • Operational in 2-4 weeks, not months of migration
Other platforms

Single-vendor AI platform

  • Model catalog fixed to one vendor's cloud and contracts
  • Data processed on the vendor's managed infrastructure
  • Per-seat and per-compute pricing with forced bundles
  • A second provider means a second integration project
  • Months-long onboarding with professional services

With Shakudo's help, we ended up deploying a solution which was 60-70% cheaper than what Stitch was going to be, and 50-75% cheaper than what Fivetran was offering.

Jeff Zakrzewski
VP of Engineering
Ritual
60-70%
Below the Stitch quote
15K+
Restaurant partners

Frequently Asked Questions

What platforms does Shakudo replace?
Shakudo replaces the single-vendor layer underneath your AI stack. If you are evaluating Cohere North, Amazon Bedrock, Azure AI Foundry, or Vertex AI as your AI layer, or Glean AI, Palantir AIP, Harness AI, or Snowflake Cortex as a point capability, Shakudo is the platform those capabilities plug into: data integration, ML, model serving, and orchestration, built from 300+ interchangeable components and deployed in your own infrastructure. Existing pipelines keep running alongside it, so migration happens workload by workload, not in one rip-and-replace.
How does Shakudo keep costs lower than a proprietary platform?
Legacy platforms charge per-seat licenses, proprietary compute markups, and force bundled services. Shakudo runs on your own cloud accounts at your negotiated rates, uses open-source components where possible, and eliminates vendor intermediary costs. Where customers have replaced a specific data vendor, they report the saving against that quote rather than a platform benchmark: Ritual measured 60-70% below the Stitch quote and 50-75% below Fivetran for the same work.
How long does implementation take?
Most enterprise customers are operational within 2-4 weeks. Shakudo deploys on your existing Kubernetes infrastructure and integrates with your identity providers, so setup is fast and non-disruptive.
How is Shakudo different from AWS Bedrock, Azure AI Foundry, or Vertex AI?
Bedrock, AI Foundry, and Vertex AI are managed model services that tie your AI layer to one cloud: one catalog, one contract, one region model. Shakudo is cloud-agnostic and runs on any Kubernetes, including on-premises and air-gapped. The model catalog (Bedrock, Vertex AI, Azure OpenAI, Cohere, or open-weight models you host) becomes a swappable component instead of the platform itself.
Where do Glean AI, Palantir AIP, Harness AI, Cohere North, and Snowflake Cortex fit?
They are the capabilities your teams are asking for; Shakudo is the platform they plug into. Model providers such as Cohere, AWS Bedrock, Vertex AI, and Azure OpenAI are reachable through the unified model gateway, and data platforms such as Snowflake are reachable through 5,000+ connectors. Assistants and delivery tools like Glean AI, Palantir AIP, or Harness AI keep running where they run today. What changes is that the platform, its data, and the credentials stay inside your perimeter, and any hosted model call goes to a provider under your own contract.
What does pricing look like?
Pricing is based on your deployment scale and requirements. We work with enterprises of all sizes. The best way to understand pricing for your use case is to request a pricing overview through the form above.

Compare Shakudo to a Specific Platform

AWS Bedrock alternative One control plane for Bedrock models, other providers, and your own open-weight models, with the platform running in your infrastructure. See the comparison Vertex AI alternative Keep the model choice and portability across clouds that a single-provider ML platform constrains. See the comparison Azure AI Foundry alternative Run models, agents, and data tooling across clouds instead of inside one cloud footprint. See the comparison Glean AI alternative An assistant answers questions over your corpus; Shakudo is the runtime that hosts the models, agents, and data tooling behind it. See the comparison

See How Shakudo Replaces Your Locked-In Platform

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