Amazon Bedrock vs Haystack (2026): Pricing, Features & Verdict
Amazon Bedrock and Haystack both score 7.3/10 on our AI Software criteria. Only Haystack has a free plan.
Last updated: November 2026
A
Amazon Bedrock
7.3/10
Amazon Bedrock is a fully managed AWS service that gives developers API access to foundation models from many providers, plus tools for agents, RAG, guardrails and fine-tuning.
Haystack
7.3/10
Open-source Python framework from deepset for building production LLM applications, including RAG pipelines, agents and semantic search, with optional paid enterprise support.
Feature-by-Feature Comparison
| Feature | A Amazon Bedrock | |
|---|---|---|
| Scores | ||
| Overall Rating | 7.3/10 | 7.3/10 |
| Integration | 8/10 | 8/10 |
| Analytics | 6/10 | 5/10 |
| Customization | 9/10 | 9/10 |
| Ease of Use | 5/10 | 5/10 |
| Support | 6/10 | 6/10 |
| Cost | 6/10 | 9/10 |
| Scalability | 9/10 | 8/10 |
| Security | 9/10 | 7/10 |
| Output Quality | 8/10 | 7/10 |
| Pricing | ||
| Free plan | No | Yes |
| Cheapest paid plan | Contact for pricing | Contact for pricing |
| Estimated cost for 10 users | Contact for pricing | Free Haystack OSS (Community) |
| Features | ||
| AI Agents | ||
| API Access | ||
| Chatbots | ||
| Code Generation | ||
| Knowledge Base Search | ||
| Private Deployment | ||
| Text Generation | ||
| Custom Model Training | Not listed | |
| Enterprise Controls | Not listed | |
| Image Generation | Not listed | |
| Transcription | Not listed | |
Amazon Bedrock vs Haystack cost by team size
| Team size | Amazon Bedrock | Haystack |
|---|---|---|
| 1 user | Contact for pricing | FreeHaystack OSS (Community) |
| 5 users | Contact for pricing | FreeHaystack OSS (Community) |
| 10 users | Contact for pricing | FreeHaystack OSS (Community) |
| 25 users | Contact for pricing | FreeHaystack OSS (Community) |
| 50 users | Contact for pricing | FreeHaystack OSS (Community) |
The plan that fits each team size, billed monthly, before add-ons and usage charges. Each cost opens that tool's pricing calculator for the team size.
Who Amazon Bedrock and Haystack suit
Amazon Bedrock fits enterprise better than Haystack.
| Audience | Amazon Bedrock | Haystack |
|---|---|---|
| Enterprise | 9/10It covers FedRAMP High, HIPAA and SOC compliance and uses IAM-based controls. | 7/10Offers enterprise support and a platform with access controls, auditability and on-premises deployment. |
| SaaS Companies | 8/10Usage-based model access lets SaaS teams embed generative AI without running their own infrastructure. | 7/10Model-agnostic pipelines and HTTP or MCP serving suit teams embedding AI features in their products. |
| Developers | 9/10The service is API-first, with SDK access to many models and agent tooling. | 9/10A code-first Python framework built for engineers assembling LLM pipelines. |
| Small Business | 3/10Non-technical small teams will struggle with the multi-service AWS setup. | 3/10It requires Python engineering skills and offers no no-code interface in the open-source edition. |
| Government | 7/10It is in scope for FedRAMP High. | Not rated |
| Healthcare | 7/10It is HIPAA eligible and AWS says it does not use customer data for training. | Not rated |
| Startups | Not rated | 7/10The free open-source core lets small technical teams prototype RAG and agent apps without paying license fees. |
Which One Should You Choose?
AWhy choose Amazon Bedrock
- Higher Security score (9/10 vs 7/10)
- Higher Analytics score (6/10 vs 5/10)
- Better fit for enterprise (9/10 vs 7/10)
Why choose Haystack
- Has a free plan (Amazon Bedrock does not)
- Higher Cost score (9/10 vs 6/10)
Pros & Cons
AAmazon Bedrock
Pros
- One API reaches models from Anthropic, Meta, Mistral, Cohere, Amazon and others, so teams can switch models without changing vendors.
- Strong compliance coverage, including FedRAMP High, HIPAA eligibility, SOC and ISO, and AWS says customer data is not used for training.
- Managed Knowledge Bases charge nothing for parsing and embeddings, and pricing is based on storage and retrieval.
- Batch and Flex tiers cut token costs by about 50% for workloads that are not latency-sensitive.
- Works natively with IAM, CloudWatch and CloudTrail for access control and auditing.
Cons
- Reviewers report complex initial setup that requires several AWS services.
- Cost tracking is unclear, and some charges are hard to find in the pricing materials.
- Some models available elsewhere are missing, including Gemini and, in the standard catalog, GPT.
- Reviewers describe the management console as bland and the documentation for agentic apps as thin.
Haystack
Pros
- The Apache 2.0 license means no license fees and no usage restrictions on the core framework.
- Explicit pipelines make it easier to debug retrieval and data-transformation problems than more abstracted frameworks, according to independent comparisons.
- Components share one interface, so a retriever, ranker or model can be swapped without rebuilding the pipeline.
- The agent tooling includes lifecycle hooks for guardrails and tracks steps, tokens and tool calls.
- Hayhooks exposes pipelines as HTTP endpoints or MCP servers for deployment.
Cons
- It is code-first and requires Python developers, with no no-code builder in the open-source edition.
- Anonymous telemetry is on by default and must be turned off manually.
- Frequent releases mean tutorials, integrations and your own code must stay on the same major version.
- Enterprise and platform pricing is not published, so costs are hard to predict.
Not sold on either?
Frequently Asked Questions
Amazon Bedrock and Haystack both score 7.3/10 on our AI Software criteria. The largest gap is in Cost: 6/10 for Amazon Bedrock and 9/10 for Haystack.
Haystack has a free plan; Amazon Bedrock does not list one.
Amazon Bedrock is the better fit for enterprise: we rate it 9/10 for them, against 7/10 for Haystack.
