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Amazon Bedrock

AWS fully managed service for building and deploying generative AI applications using 100+ foundation models from leading AI providers.

Producer:AmazonManaged Cloud · ServerlessISO/IEC 27001 · SOC 1 Type II · SOC 2 Type IIReleased:Apr 13, 2023
Data residencySovereign cloud
Amazon Bedrock
Regions
20totalRegions
SDK / Languages
4python, javascript…
Robotics-Ready
✓

Description

Amazon Bedrock is a fully managed AWS service providing secure, enterprise-grade access to foundation models from leading AI companies including Amazon, Anthropic, Meta, Mistral AI, DeepSeek, Cohere, Google, MiniMax, Moonshot AI, NVIDIA, and OpenAI. The platform enables building and scaling generative AI applications without infrastructure management.

Bedrock provides tools for agent building (Amazon Bedrock Agents and AgentCore), knowledge management (Knowledge Bases with RAG support), content safety (Guardrails), model evaluation (Model Evaluation), data automation (Bedrock Data Automation), and model fine-tuning. The platform never stores or uses customer data to train foundation models.

MLOps LifecycleMLOps LifecycleFull model lifecycle: registry, feature store, prompt management, monitoring and human-in-the-loop.

6/17 supported

Model Registry

Versioning — model artifact versioning
Approval workflows — approval workflow before production
Immutable artifacts — immutability of stored versions
Lineage tracking — tracking data and model relationships
1 / 4 supported · 3 unsupported hidden

Feature Store

Online serving — real-time feature serving
Offline storage — feature storage for training
Streaming ingestion — streaming ingestion (Kafka, Flink)
0 / 3 supported · 3 unsupported hidden

Prompt Management

Prompt registry — central prompt repository
Versioning — prompt versioning and history
Testing frameworks — A/B testing and prompt evaluation
3 / 3 supported · none unsupported

Monitoring

Data drift detection — input data drift detection
Concept drift detection — concept drift detection
Hallucination monitoring — LLM hallucination monitoring
Bias evaluation tools — bias evaluation tooling
2 / 4 supported · 2 unsupported hidden

Human-in-the-Loop

Labeling services — data labeling tools
RLHF workflows — reinforcement learning from human feedback
Manual override — manual override of model decisions
0 / 3 supported · 3 unsupported hidden

Data & KnowledgeData & Knowledge ManagementData connectors, vector database integration, native vector search and data management (PII, provenance, synthetic data).

ApplicationsAI ApplicationsDomains and use cases this platform is best suited for — from RAG and fine-tuning to scientific research.

10

SecurityEnterprise SecurityCertifications, access controls and data-protection features essential for corporate deployments and cloud privacy compliance.

Developer EcosystemDeveloper EcosystemDeveloper resources: available SDKs, supported programming languages, and infrastructure features and model-deployment methods.

SDK Languages
PyPythonJSJavaScriptTSTypeScriptGoGo
API Type
REST
Community & resources
Templates library
Quickstarts
API Reference
Tutorials
$

Pricing & Business ModelPricing & Business ModelBilling models (usage-based, provisioned throughput), resource limits and SLA parameters (uptime, support tiers).

Pricing models

Usage-based
Token-based
Provisioned throughput

Resource quotas

Per project
Per user
Cost alerting

SLA & Support

StandardEnterprise 24/7

SourcesDocumentation VaultCentralized hub of links to official sources, technical guides, repositories and release notes.

SustainabilitySustainabilityCarbon footprint, renewable-energy share powering data centers, and energy-efficiency metrics (e.g. PUE).

Carbon footprint tracking

Data verified: Apr 28, 2026