IBM watsonx.ai, Amazon Bedrock AgentCore, Alibaba Cloud Model Studio vs Amazon Bedrock

The registry records IBM watsonx.ai as available on vendor cloud or private cloud or on-premise enterprise; it is scored here as enterprise SaaS.

The registry records Amazon Bedrock AgentCore as available on vendor cloud or private cloud; it is scored here as enterprise SaaS.

The registry records Alibaba Cloud Model Studio as available only on vendor cloud; it is scored here as enterprise SaaS.

The registry records Amazon Bedrock as available on vendor cloud or private cloud; it is scored here as enterprise SaaS.

For this brief — confidential documents — enterprise SaaS is conditional: worth it only if the conditions in the options section hold. Change the brief and this verdict changes.

For this brief — confidential documents — enterprise SaaS is conditional: worth it only if the conditions in the options section hold. Change the brief and this verdict changes.

For this brief — confidential documents — enterprise SaaS is conditional: worth it only if the conditions in the options section hold. Change the brief and this verdict changes.

For this brief — confidential documents — enterprise SaaS is conditional: worth it only if the conditions in the options section hold. Change the brief and this verdict changes.

Covers your main objective (choosing a cloud platform) and 1 of 3 secondary objectives (internal company search).

Covers your main objective (choosing a cloud platform) and 1 of 3 secondary objectives (AI customer-support agent).

Covers your main objective (choosing a cloud platform) and 1 of 3 secondary objectives (document Q&A).

Covers your main objective (choosing a cloud platform) and 3 of 3 secondary objectives (AI customer-support agent, document Q&A, internal company search).

You stated no hosting preference, so no option is favoured on that basis. No hard restriction on where processing happens was stated. You did not name a cloud you already run on, so no design is favoured on that basis.

You stated no hosting preference, so no option is favoured on that basis. No hard restriction on where processing happens was stated. You did not name a cloud you already run on, so no design is favoured on that basis.

You stated no hosting preference, so no option is favoured on that basis. No hard restriction on where processing happens was stated. You did not name a cloud you already run on, so no design is favoured on that basis.

You stated no hosting preference, so no option is favoured on that basis. No hard restriction on where processing happens was stated. You did not name a cloud you already run on, so no design is favoured on that basis.

External data transfer: yes. No catalogue deployment names IBM watsonx.ai, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief. Confidential content leaves your control on the Employees → Vendor assistant (web and desktop clients) link.

External data transfer: some. Computed from “Agent workflow on a managed cloud runtime”, the catalogue deployment that names Amazon Bedrock AgentCore and best matches this brief. Confidential content leaves your premises for your own cloud tenancy ("Private endpoints"). You keep control of the account; the provider is a processor, so a DPA and a documented region apply.

External data transfer: yes. No catalogue deployment names Alibaba Cloud Model Studio, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief. Confidential content leaves your control on the Employees → Vendor assistant (web and desktop clients) link.

External data transfer: some. Computed from “Assistant on Amazon Bedrock”, the catalogue deployment that names Amazon Bedrock and best matches this brief. Confidential content leaves your premises for your own cloud tenancy ("VPC / PrivateLink"). You keep control of the account; the provider is a processor, so a DPA and a documented region apply.

We hold no fetched residency commitment for IBM watsonx.ai. That is a question to put to the vendor, not an assumption to make about them. The vendor is headquartered in United States, which is where a transfer question starts, not where it ends.

We hold no fetched residency commitment for Amazon Bedrock AgentCore. That is a question to put to the vendor, not an assumption to make about them. The vendor is headquartered in United States, which is where a transfer question starts, not where it ends.

We hold no fetched residency commitment for Alibaba Cloud Model Studio. That is a question to put to the vendor, not an assumption to make about them. The vendor is headquartered in China (mainland), which is where a transfer question starts, not where it ends.

We hold no fetched residency commitment for Amazon Bedrock. That is a question to put to the vendor, not an assumption to make about them. The vendor is headquartered in United States, which is where a transfer question starts, not where it ends.

We have fetched none of the four commitments for IBM watsonx.ai: data processing agreement, subprocessor list, training on customer data, zero retention option. Each is a question for the vendor, and until it is answered it is unknown rather than absent.

We have fetched none of the four commitments for Amazon Bedrock AgentCore: data processing agreement, subprocessor list, training on customer data, zero retention option. Each is a question for the vendor, and until it is answered it is unknown rather than absent.

We have fetched none of the four commitments for Alibaba Cloud Model Studio: data processing agreement, subprocessor list, training on customer data, zero retention option. Each is a question for the vendor, and until it is answered it is unknown rather than absent.

We have fetched none of the four commitments for Amazon Bedrock: data processing agreement, subprocessor list, training on customer data, zero retention option. Each is a question for the vendor, and until it is answered it is unknown rather than absent.

4–12 FDE-days to implement. No catalogue deployment names IBM watsonx.ai, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief.

8–20 FDE-days to implement. Computed from “Agent workflow on a managed cloud runtime”, the catalogue deployment that names Amazon Bedrock AgentCore and best matches this brief.

4–12 FDE-days to implement. No catalogue deployment names Alibaba Cloud Model Studio, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief.

6–16 FDE-days to implement. Computed from “Assistant on Amazon Bedrock”, the catalogue deployment that names Amazon Bedrock and best matches this brief.

The vendor runs the service. Your standing work is access control, the policy staff work under, and re-reading the contract and subprocessor list when they change — not patching or capacity.

The vendor runs the service. Your standing work is access control, the policy staff work under, and re-reading the contract and subprocessor list when they change — not patching or capacity.

The vendor runs the service. Your standing work is access control, the policy staff work under, and re-reading the contract and subprocessor list when they change — not patching or capacity.

The vendor runs the service. Your standing work is access control, the policy staff work under, and re-reading the contract and subprocessor list when they change — not patching or capacity.

2/5. Starting point 1/5: a vendor product, configured rather than installed. +0.5 Single sign-on adds an identity provider, group-to-role mapping and a joiner/leaver process to the deployment.

4/5. Starting point 2/5: your own tenancy to build in, but no hardware to buy or rack. +0.5 You run the model server yourself: GPU drivers, quantisation choice, memory headroom and restarts are all yours to own.

2/5. Starting point 1/5: a vendor product, configured rather than installed. +0.5 Single sign-on adds an identity provider, group-to-role mapping and a joiner/leaver process to the deployment.

4/5. Starting point 2/5: your own tenancy to build in, but no hardware to buy or rack. +0.5 You run the model server yourself: GPU drivers, quantisation choice, memory headroom and restarts are all yours to own.

USD 3,100 – 23,000 — one-off — for IBM watsonx.ai at this headcount. No catalogue deployment names IBM watsonx.ai, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief. Licences are not in that figure: no per-seat price has been read from the vendor’s own pricing page, so the software line is excluded from the total rather than guessed. Read it as implementation only.

USD 6,100 – 39,000 — one-off — for Amazon Bedrock AgentCore at this headcount. Computed from “Agent workflow on a managed cloud runtime”, the catalogue deployment that names Amazon Bedrock AgentCore and best matches this brief. Licences are not in that figure: no per-seat price has been read from the vendor’s own pricing page, so the software line is excluded from the total rather than guessed. Read it as implementation only.

USD 3,100 – 23,000 — one-off — for Alibaba Cloud Model Studio at this headcount. No catalogue deployment names Alibaba Cloud Model Studio, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief. Licences are not in that figure: no per-seat price has been read from the vendor’s own pricing page, so the software line is excluded from the total rather than guessed. Read it as implementation only.

USD 4,600 – 31,000 — one-off — for Amazon Bedrock at this headcount. Computed from “Assistant on Amazon Bedrock”, the catalogue deployment that names Amazon Bedrock and best matches this brief. Licences are not in that figure: no per-seat price has been read from the vendor’s own pricing page, so the software line is excluded from the total rather than guessed. Read it as implementation only.

IBM watsonx.ai is a vendor product: you configure what the vendor exposes — policies, connectors, retention settings — and nothing below that line.

Amazon Bedrock AgentCore is a vendor product: you configure what the vendor exposes — policies, connectors, retention settings — and nothing below that line.

Alibaba Cloud Model Studio is a vendor product: you configure what the vendor exposes — policies, connectors, retention settings — and nothing below that line.

Amazon Bedrock is a vendor product: you configure what the vendor exposes — policies, connectors, retention settings — and nothing below that line.

8 issues spotted for this brief, 0 of them legal requirements; 0 carry a quote from the instrument they rest on. Leading with: Confidentiality duties bind independently of data protection law.

8 issues spotted for this brief, 0 of them legal requirements; 0 carry a quote from the instrument they rest on. Leading with: Confidentiality duties bind independently of data protection law.

8 issues spotted for this brief, 0 of them legal requirements; 0 carry a quote from the instrument they rest on. Leading with: Confidentiality duties bind independently of data protection law.

8 issues spotted for this brief, 0 of them legal requirements; 0 carry a quote from the instrument they rest on. Leading with: Confidentiality duties bind independently of data protection law.