Data Management

Valkey 9.2: Forkless Replication and AI Infrastructure Ambitions

Valkey 9.2: Forkless Replication and AI Infrastructure Ambitions

Valkey has released RC1 for version 9.2, its largest launch to date, featuring forkless replication that dramatically reduces memory overhead and a new hierarchical data structure designed for LLM inference routing. The project is also advancing synchronous replication, a move that would allow Valkey to serve as a durable data store rather than purely a cache. For organizations evaluating open source in-memory infrastructure, this release reframes what Valkey can credibly do.

Valkey 9.2: Forkless Replication and AI Infrastructure Ambitions Read More »

Percona's Valkey Proxy: Redis Without the Cost or Lock-in

Percona’s Valkey-proxy: Redis Without the Cost or Lock-in

Percona’s Valkey Proxy removes the porting cost that has long blocked Redis migration, enabling Redis-compatible workloads on cheaper flash-based storage engines. The company is also positioning against AI vendor lock-in as LLMs become the dominant query layer for enterprise databases. For ITDMs managing legacy data infrastructure and tightening budgets, the economics deserve a serious look.

Percona’s Valkey-proxy: Redis Without the Cost or Lock-in Read More »

Everpure's New AI Data Platform Targets Production Scale

Everpure’s New AI Data Platform Targets Production Scale

Everpure announced new data management capabilities designed to move enterprise AI from pilot to production, covering governed agent data access, LLM inference acceleration, and token cost optimization. ECI Research analyzes the business and technical implications for IT decision-makers and developers evaluating AI infrastructure. The governance and compliance angle may be the most underrated part of this release.

Everpure’s New AI Data Platform Targets Production Scale Read More »

Acceldata xFactory: Federated AI Data Governance at Scale

Acceldata xFactory: Federated AI Data Governance at Scale

Acceldata has launched xFactory, a private AI software factory that lets enterprises build and deploy AI agents on federated data without moving it. The platform runs on open engines including Apache Spark and Trino, with runtime governance enforced by xLake. ECI Research breaks down why the architecture, the open-engine strategy, and the developer velocity story matter for regulated enterprise buyers.

Acceldata xFactory: Federated AI Data Governance at Scale Read More »

HUMAIN and MinIO Build a Sovereign AI Data Platform | ECI Research

HUMAIN and MinIO Build a Sovereign AI Data Platform

HUMAIN and MinIO have announced a strategic partnership to co-develop HUMAIN Fabric, an AI-native unified data platform targeting sovereign and enterprise AI workloads. ECI Research examines the data-layer thesis behind the deal, the sovereign AI angle, and what developers should watch as the platform matures. The partnership begins in Saudi Arabia before expanding internationally.

HUMAIN and MinIO Build a Sovereign AI Data Platform Read More »

Axe Compute's 55 MW Bet on Owning AI Infrastructure

Axe Compute’s 55 MW Bet on Owning AI Infrastructure

Axe Compute and Duos Technologies have agreed on up to 55 MW of new AI data center capacity across multiple U.S. locations, with Axe Compute taking 49% equity stakes in the project entities. The deal signals a strategic shift from renting to owning capacity, addressing a genuine supply constraint in enterprise AI infrastructure. ECI Research data shows GPU availability and provisioning friction are among the top obstacles enterprise teams face when scaling AI workloads on Kubernetes.

Axe Compute’s 55 MW Bet on Owning AI Infrastructure Read More »

Airbyte Cloud Migration Preserves Pipelines — ECI Research

Airbyte Cloud Migration Preserves Pipelines — ECI Research

Airbyte has launched a migration service that moves production pipelines from Airbyte Core to Airbyte Cloud without historical re-syncs or pipeline rebuilds. The service preserves incremental sync checkpoints, connection configurations, and destination data. For data engineering teams, it fundamentally changes the cost calculus of moving from self-managed to managed infrastructure.

Airbyte Cloud Migration Preserves Pipelines — ECI Research Read More »

Convertr Govern: Closing the Contact Data Compliance Gap

Convertr Govern: Closing the Contact Data Compliance Gap

Convertr has launched Convertr Govern, a governance module that enforces account-level compliance policies on lead and contact data before records reach downstream systems. The announcement targets the EU AI Act’s August 2026 transparency requirements and a demonstrated market gap: 74% of managers say they wouldn’t pass a compliance audit of their lead data practices tomorrow. ECI Research data shows AI-related risk is now the #1 driver of security spending for 35% of organizations, putting contact data governance squarely in the crosshairs.

Convertr Govern: Closing the Contact Data Compliance Gap Read More »

Enterprise AI Is in Production — But Half Can't Measure ROI

Enterprise AI Is in Production But Half Can’t Measure ROI

Plug and Play’s new pulse survey finds three-quarters of large enterprises have AI in production, but half aren’t consistently measuring its value. ECI Research analysis identifies the data, governance, and capacity constraints that separate AI deployment from AI return. The real competition is now over measurement infrastructure, not model capability.

Enterprise AI Is in Production But Half Can’t Measure ROI Read More »

The Enterprise AI Governance Gap Is a Data Problem First

The Enterprise AI Governance Gap Is a Data Problem First

Most enterprises are running AI on ungoverned data foundations, and the gap between ambition and operational reality is widening. Quest Software’s Global Field CTO Sue Lane joins ECI Research’s Paul Nashawaty to explain why data quality, semantic layers, and portable governance frameworks determine whether AI investments deliver in production. The governance gap isn’t a maturity problem waiting to close — it’s an active risk posture demanding immediate structural attention.

The Enterprise AI Governance Gap Is a Data Problem First Read More »