Top data infrastructure AI tools

Spice.ai is an enterprise-grade platform that provides composable, ready-to-use data and AI infrastructure, offering SQL query capabilities, vector search, and model serving in a single AI backend-as-a-service.

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The WEKA Data Platform provides unmatched performance, scalability, and efficiency for AI and machine learning workloads, both on-premises and in the cloud.

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Context Data provides a plug-and-play data infrastructure specifically built for Generative AI. It simplifies building Gen AI applications by managing vector databases, pipelines, and infrastructure.

• Freemium
• From 199$

Tecton is an AI data platform that helps teams turn structured and unstructured data into AI context for better models, automating data pipelines and reducing time to production by 80%.

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PVML offers a privacy-first data infrastructure for building secure and scalable AI. It enables safe PII exposure to AI, ensures compliance, and prevents vendor lock-in, maximizing AI-driven innovation.

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Qubinets simplifies deploying and managing open-source data infrastructure. It offers a Kubernetes-powered platform for developers, data analysts, and AI engineers.

• Freemium
• From 10$

MinIO AIStor is a high-performance, S3-compatible object storage system designed for AI and large-scale data infrastructure. It offers exceptional speed, scalability, and security on any cloud environment.

• Paid
• From 20$

Zetta is an all-in-one data analytics platform that provides businesses with a conversational AI Data Analyst, automated insights, dashboards, and a data warehouse.

• Paid
• From 100$

Unstructured transforms complex, unstructured data into clean, structured data for GenAI applications. It connects enterprise data to LLMs, regardless of the source, making it LLM-ready.

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