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Apr 1, 2025
April 1, 2025

Connect all your AI tools with UltiHash via our S3-compatible API

We're excited to announce our newly expanded integrations documentation, where you can seamlessly integrate your entire AI stack.

We’re excited to announce our newly expanded integrations documentation - a centralized hub to seamlessly connect UltiHash with your favorite AI, data, and analytics tools!

From day one, we built UltiHash’s API to be robust, flexible, and fully S3-compatible, embracing REST standards to simplify integration with the tools you already use and love. Our latest round of integrations demonstrates just how versatile and powerful this approach is, allowing users across roles - whether technical teams or business decision-makers - to innovate more quickly and reliably.

Thanks to close collaboration with our users and extensive internal testing, our documentation now includes detailed integration guides for over 20 popular tools, platforms, and frameworks, including:

  • Annotation platforms like SuperAnnotate for streamlined data labeling.
  • ML & AI frameworks including PyTorch and Apache Spark to accelerate your model workflows.
  • Data pipelines & orchestration tools such as Apache Airflow and AWS Glue to enhance your data workflows.
  • Modern open table formats like Apache Iceberg, perfect for managing robust data lakes.
  • Advanced analytics & query engines, notably Presto and Trino, to power your analytics with speed and flexibility.
  • Graph databases like Neo4j, enhancing data connectivity and relationships.
  • Vector databases (e.g., Zilliz) for advanced semantic search and retrieval-augmented generation (RAG) applications.

UltiHash’s integrations leverage our secure, scalable, and performant S3-compatible API, ensuring your data moves seamlessly between tools, no matter the complexity of your workflows. This design decision allows effortless integration with numerous tools straight out of the box, particularly open-source solutions within the Apache ecosystem.

We encourage you to explore our comprehensive integrations documentation here, where you’ll find step-by-step guides and detailed technical information to help you quickly connect UltiHash to your tech stack.

Is there a particular integration you’d love to see next? We’re continuously expanding our library and would love your input. Drop us a note at hello@ultihash.io - your suggestions help us prioritize what comes next!

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Connect all your AI tools with UltiHash via our S3-compatible API
We're excited to announce our newly expanded integrations documentation, where you can seamlessly integrate your entire AI stack.
Posted by
Tom Lüdersdorf
Founder & CEO
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Connect all your AI tools with UltiHash via our S3-compatible API

We're excited to announce our newly expanded integrations documentation, where you can seamlessly integrate your entire AI stack.

We’re excited to announce our newly expanded integrations documentation - a centralized hub to seamlessly connect UltiHash with your favorite AI, data, and analytics tools!

From day one, we built UltiHash’s API to be robust, flexible, and fully S3-compatible, embracing REST standards to simplify integration with the tools you already use and love. Our latest round of integrations demonstrates just how versatile and powerful this approach is, allowing users across roles - whether technical teams or business decision-makers - to innovate more quickly and reliably.

Thanks to close collaboration with our users and extensive internal testing, our documentation now includes detailed integration guides for over 20 popular tools, platforms, and frameworks, including:

  • Annotation platforms like SuperAnnotate for streamlined data labeling.
  • ML & AI frameworks including PyTorch and Apache Spark to accelerate your model workflows.
  • Data pipelines & orchestration tools such as Apache Airflow and AWS Glue to enhance your data workflows.
  • Modern open table formats like Apache Iceberg, perfect for managing robust data lakes.
  • Advanced analytics & query engines, notably Presto and Trino, to power your analytics with speed and flexibility.
  • Graph databases like Neo4j, enhancing data connectivity and relationships.
  • Vector databases (e.g., Zilliz) for advanced semantic search and retrieval-augmented generation (RAG) applications.

UltiHash’s integrations leverage our secure, scalable, and performant S3-compatible API, ensuring your data moves seamlessly between tools, no matter the complexity of your workflows. This design decision allows effortless integration with numerous tools straight out of the box, particularly open-source solutions within the Apache ecosystem.

We encourage you to explore our comprehensive integrations documentation here, where you’ll find step-by-step guides and detailed technical information to help you quickly connect UltiHash to your tech stack.

Is there a particular integration you’d love to see next? We’re continuously expanding our library and would love your input. Drop us a note at hello@ultihash.io - your suggestions help us prioritize what comes next!