Practice Area
Data Intelligence
Enterprise data is the lifeblood of business. No endeavor, whether a simple order-to-cash process or a complex, agentic AI solution, can survive without timely access to accurate, high-quality, secure, and governed data. As we move into 2026, the market is pivoting from experimentation to engineering, demanding a stack that is not just “AI-ready” but explicitly architected to accelerate AI.
Analysts covering Data Intelligence
All practice areas
Brad Shimmin
Vice President & Practice Lead, Data Intelligence, Analytics, & Infrastructure
Guy Currier
Chief Analyst, Visible Impact & Research Director, Ecosystems, Channels, & Marketplaces
Keith Kirkpatrick
Vice President & Research Director, Enterprise Software & Digital Workflows
Nick Patience
Vice President & Practice Lead, AI Platforms
Latest insights
All Data Intelligence insightsNetApp Q1 FY 2027: AI-Ready Storage Drives Enterprise Momentum
Futurum Research analyzes NetApp’s Q1 FY 2027 earnings, focusing on AI data infrastructure, hybrid cloud demand, and migration momentum.
Hitachi Bets on Grid-to-AI Stack as Physical Infrastructure Play
Hitachi pairs sustainable insulating gas production in Germany with HMAX Physical AI expansion, positioning itself to capitalize on enterprise AI investment tied to reliable power infrastructure.
Broadcom Builds Sovereign Agentic AI Foundations Around VMware Tanzu
Brad Shimmin, Vice President and Practice Lead at The Futurum Group, analyzes Broadcom’s VMware Tanzu Platform updates at VMware Explore 2026, covering deny-by-default agent runtimes, AI-ready data foundations, and TrueSource OSS security.
Autonomy Over Analytics: The Read-Write Decree Rewiring Enterprise Data Platforms
Brad Shimmin, VP & Practice Lead at Futurum, reveals findings from the new Data Intelligence Platforms Signal report, highlighting how read-write AI agents and transactional execution realigned competitive market standings.
Nasuni Acquires DryvIQ to Bring AI-Ready Data Governance
Alastair Cooke, analyst at Futurum, shares his insights on why Nasuni acquires DryvIQ and what the deal means for AI data governance and file platform consolidation.
In-Process Analytics Goes Hyperscale: Inside the AWS DuckLabs Acqui-Hire
AWS acquires DuckLabs to embed DuckDB’s in-process OLAP engine natively into Amazon S3 storage, challenging data warehouse economics while keeping open-source governance independent.
ScyllaDB’s Rust Driver Delivers 58% Throughput Gain for DynamoDB Users
ScyllaDB released an open-source Rust driver for its DynamoDB-compatible Alternator API, achieving 58% higher throughput than AWS SDK on 3-node clusters. The driver maintains full API compatibility while enabling cluster-aware load balancing.
Salesforce Q2 FY 2027: Can Agentforce Drive Revenue Reacceleration?
Futurum Research analyzes Salesforce’s Q2 FY 2027 earnings, focusing on AI and data momentum, Agentforce adoption, Anthropic partnership expansion, and FY 2027 guidance.
AI Maps Cancer’s Hidden States to Predict Winning Drug Combos
AI algorithms identified ultraconserved cancer cell states across patients and predicted synergistic drug combinations with ~90% accuracy, challenging assumptions about tumor heterogeneity.
Can One Database Replace Three? Sprig’s ScyllaDB Bet Says Yes
Sprig replaced Postgres, ClickHouse, and Redis with ScyllaDB, achieving 4-8x better latency while processing 1.3 trillion events. The consolidation illustrates how enterprises are simplifying complex database stacks to manage explosive data growth.
Cloudera Anywhere Cloud Targets Hybrid AI Complexity With In-Place Execution
Brad Shimmin analyzes Cloudera Anywhere Cloud, examining how modular blueprints, Apache Iceberg, and zero-copy lakehouse architectures resolve data gravity and MLOps bottlenecks across hybrid enterprise AI estates.
Data Intelligence Platforms – Futurum Signal
The Data Intelligence Platform market is undergoing its most consequential shift since the move to cloud data warehousing, as enterprise AI matures from read-only copilots into read-write autonomous agents that plan, negotiate, and execute transactions across business systems without continuous…
Research Reports
All Data Intelligence reportsEscaping Data Gravity and Infrastructure Debt: Why the AI Era Demands an Agentic Data Cloud
In its latest report, Escaping Data Gravity and Infrastructure Debt , completed in partnership with Google Cloud, Futurum Research examines how decoupled data architectures are driving up costs and operational overhead for enterprise AI, and how a natively integrated, serverless data cloud helps…
Operationalizing Autonomous AI: Architecting the Agentic Enterprise on a Converged Data Foundation
In its latest report, Operationalizing Autonomous AI: Architecting the Agentic Enterprise on a Converged Data Foundation, completed in partnership with Snowflake, Futurum Research examines why enterprises must move beyond bolted-on AI applications and adopt a natively governed, multi-cloud data…
Data Gravity in the Age of AI: Engineering the Mission-Critical Engine for Autonomous Workloads
In our latest report, Data Gravity in the Age of AI: Engineering the Mission-Critical Engine for Autonomous Workloads, completed in partnership with Oracle, Futurum Research explores why fragmented data architectures are limiting enterprise AI progress and how Oracle AI Database 26ai provides a…
The No-Compromise AI Foundation: Oracle Reimagines the Database for the Agentic Era
In this report, completed in partnership with Oracle, Futurum Research examines why production-scale agentic AI requires a secure, converged, data-resident foundation built for real-time context, persistent memory, and open data portability.
Gemini Enterprise: Governing and Scaling the Agentic Enterprise
In our latest market report, Gemini Enterprise: Governing and Scaling the Agentic Enterprise, completed in partnership with Google Cloud, Futurum Research examines the operational, governance, and lifecycle requirements for scaling agentic AI in the enterprise and explores how Gemini Enterprise…
The Foundation for Innovation: Why Architectural Integrity and Distributed Databases are Crucial for Scaling Mission-Critical, AI-Ready Applications
In our latest report, The Foundation for Innovation: Why Architectural Integrity and Distributed Databases are Crucial for Scaling Mission-Critical, AI-Ready Applications, commissioned by Oracle, Futurum Research examines two contrasting approaches to distributed databases: the SQL-on-key-value…