In the third edition of our round-up series, we’re excited to bring you another exciting update on our expanding network of strategic collaborations. As we continue to build on the momentum from our previous editions, this round-up highlights a fresh array of partnerships that further enhance the Shakudo platform's capabilities. 

With focuses on data management, integration, and AI-driven automation, these partners together enhance Shakudo's platform efficiency and scalability. They simplify workflows, accelerate data access, and support AI applications, enabling businesses to integrate, analyze, and automate data processes seamlessly. 

Laminar: Data Security and Governance

Laminar enables businesses to build custom API integrations faster using AI-driven tools and a specialized platform. It allows users to connect to any API or legacy system, generate business logic workflows, and manage integrations with built-in observability and notifications. Companies use Laminar to quickly integrate disparate systems, automate workflow generation, and maintain integrations without extensive custom code. Using Laminar, businesses can reduce implementation risks, cut costs, and accelerate time-to-market for their integrations.

Learn more about Laminar

Qdrant: High Performance Vector Search

Qdrant is an open-source vector database designed for high-performance similarity search and scalable AI applications. Built in Rust for performance, memory safety, and scalability, Qdrant handles billions of vectors and supports the matching of semantically complex objects. Use cases include advanced search, recommendation systems, retrieval-augmented generation (RAG), and anomaly detection, enabling precise and scalable solutions for AI-driven applications. By deploying Qdrant Hybrid Cloud in their own VPCs via Shakudo, enterprises can achieve secure, high-performance vector search while keeping full control over their data.

Learn more about Qdrant

Dremio: Data Lakehouse Platform

Dremio provides a unified lakehouse platform for self service analytics and AI, offering high-performance SQL query engines and seamless data integration across cloud, hybrid, and on-prem environments. It features capabilities like Apache Iceberg support, automated data optimization, and a universal semantic layer. Use cases include data lake modernization, data mesh implementation, and accelerating AI data access. Dremio enhances analytics performance, reduces total cost of ownership, and simplifies data management, enabling faster insights and more efficient data operations.

Learn more about Dremio

Windmill: Developer Platform & Workflow Engine

Windmill is an open-source developer platform and workflow engine that turns scripts into auto-generated UIs, APIs, and cron jobs. It supports multiple languages, including Python, TypeScript, Go, and SQL, and offers features like drag-and-drop interfaces and detailed monitoring. Use cases include automating business processes, creating complex data pipelines, and building internal tools. Windmill enables developers to build, deploy, and run software faster and more reliably, enhancing productivity and operational efficiency.

Learn more about Windmill

To learn more about how these collaborations work or to become a partner, contact one of our representatives.