Azure AI Speech vs Haystack Enterprise Platform
Azure AI Speech
azure.microsoft.com
Haystack Enterprise Platform
deepset.aiSide by side
| Figure | Azure AI Speech | Haystack Enterprise Platform |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 2 |
| Spec score · Retrieval-Augmented Generation Tools | 8.5 (#5) | 8.0 (#13) |
| Founded | 1975 | 2018 |
| Headquarters | Redmond, Washington, United States | Berlin, Germany |
| Integrations | Microsoft lists Azure OpenAI, Microsoft Foundry, Azure Content Understanding, Azure Translator, and Azure Language as related products. | The platform page lists model integrations including Anthropic, OpenAI, Mistral, Cohere, Gemini, and custom models, plus data stores including PostgreSQL, Snowflake, Qdrant, Weaviate, and Pinecone. |
| Intended users | The product is presented for developers building voice-enabled apps, multilingual generative AI applications, and intelligent agents. | The Enterprise plan is described as suitable for teams building production-grade AI applications, while Studio is described for individuals prototyping AI applications. |
| Security and compliance | The product page says Microsoft has more than 100 compliance certifications, including over 50 specific to global regions and countries. | The page lists SOC 2 Type II and ISO 27001 certification, GDPR and HIPAA compliance, CSA Star Level 1, SSO, audit logs, and pipeline isolation. |
Plans
Azure AI Speech
- Free (F0)Free
- Pay as You GoPrice not published
- Pay as You GoPriced on request
Haystack Enterprise Platform
- StudioFree
- EnterprisePriced on request
In their own words
Azure AI Speech
Azure AI Speech has no write-up on Specifiction yet; its figures are above.
Haystack Enterprise Platform
Haystack Enterprise Platform is an operational layer for building, evaluating, deploying and governing production AI agents and applications. Teams can assemble and debug agents and retrieval-augmented generation (RAG) pipelines using a visual builder, templates, custom components and retrieval and memory settings. The Playground and Prompt Explorer support comparisons of prompts, retrieval strategies and agent workflows, as well as prototype sharing and feedback. Deployment options include deepset-managed cloud or self-hosting, with serverless autoscaling and a REST API. Governance tools include role-based access, run history, traces, performance monitoring, usage reports and guardrails. The platform lists SOC 2 Type II and ISO 27001 certifications, GDPR and HIPAA compliance, SSO, audit logs, CSA Star Level 1 and pipeline isolation. Listed model integrations include Anthropic, OpenAI, Mistral, Cohere, Gemini and custom models; data-store integrations include PostgreSQL, Snowflake, Qdrant, Weaviate and Pinecone. Pipelines can be exported as Python or YAML, and models and providers can be changed without rewriting code. Studio is free with stated limits; Enterprise pricing is custom and requires contacting deepset.