Data Analytics

Starburst Enterprise Intelligence Platform: Analyst Take

Starburst Enterprise Intelligence Platform

AI, Application Development, Cloud, Data Analytics /

Starburst announced its Enterprise Intelligence Platform at AI+Datanova 2026, combining federated data access, AI-powered AIDA, and managed Iceberg lakehouse operations. ECI Research examines the architectural bet against consolidation, the competitive implications for Databricks and Snowflake, and what enterprises should evaluate now. The announcement reflects a broader market shift toward running AI on governed data in place, without replatforming.

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Why Enterprise AI Data Governance Is the Real Bottleneck | ECI Research

Why Enterprise AI Data Governance Is the Real Bottleneck | ECI Research

AI, Application Development, Cloud, Data Analytics, FinOps /

Starburst’s AI & Datanova 2026 conference frames enterprise data governance, not model capability, as the primary barrier to scaling AI into production. ECI Research analysis examines what this means for ITDMs and developers navigating distributed, hybrid data environments. The organizations that get AI-ready data foundations right in 2026 will pull measurably ahead of those still retrofitting governance after the fact.

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Qdrant Series B: The Case for Production Vector Search | ECI Research

Qdrant Series B: The Case for Production Vector Search | ECI Research

AI, Application Development, Data Analytics, DevOps /

Qdrant has closed a Series B and launched a public beta of edge-based vector search, signaling a structural shift away from PGVector and Lucene-based extensions. ECI Research examines what the enterprise migration wave means for ITDMs navigating data sovereignty requirements and developers building agentic AI applications at scale.

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Airbyte Agents: Context Infrastructure for Production AI Agents

Airbyte Agents: Context Infrastructure for Production AI Agents

AI, Application Development, Data Analytics, Enterprise Software /

Airbyte has launched Airbyte Agents, a context infrastructure layer that pre-replicates enterprise data into a unified, search-optimized index before AI agents run. The product targets the data reliability failures behind most agent production breakdowns, not model quality. ECI Research analyzes what this means for enterprise AI buyers and engineering teams building on MCP and custom SDKs.

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