Denodo vs Aerospike

Side-by-side comparison of AI visibility scores, market position, and capabilities

Denodo leads in AI visibility (73 vs 53)
Denodo logo

Denodo

LeaderData & Analytics

Data Virtualization & Logical Data Management

Denodo is the global leader in data virtualization, named a Gartner Magic Quadrant Leader for Data Integration Tools for six consecutive years (2025); integrates 200+ data sources without data movement;

AI VisibilityBeta
Overall Score
B73
Category Rank
#21 of 161
AI Consensus
85%
Trend
stable
Per Platform
ChatGPT
71
Perplexity
75
Gemini
77

About

Denodo is a Palo Alto-based enterprise software company and the globally recognized leader in data virtualization — a data management approach that creates a unified virtual data layer across disparate sources without physically moving or replicating data. Founded in 1999 and profitable for many years, Denodo''s platform integrates data from 200+ source types including relational databases, data lakes, cloud data warehouses, APIs, streaming systems, and unstructured sources — presenting a single, governed, real-time data interface to analytics tools, applications, and AI workloads. Gartner has named Denodo a Leader in its Magic Quadrant for Data Integration Tools for six consecutive years, including December 2025.

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Aerospike logo

Aerospike

ChallengerData & Analytics

Real-Time NoSQL Distributed Database

Aerospike is a real-time NoSQL distributed database built for low-latency, high-throughput workloads; raised $109M in 2024 led by Sumeru Equity Partners with $171M+ total funding; used by major AdTech, fintech, and AI inference platforms.

AI VisibilityBeta
Overall Score
C53
Category Rank
#77 of 161
AI Consensus
84%
Trend
stable
Per Platform
ChatGPT
55
Perplexity
51
Gemini
57

About

Aerospike is a real-time NoSQL database company founded in 2009 by Brian Bulkowski and Ram Sriram, headquartered in Mountain View, California. The platform is purpose-built for mission-critical, high-throughput applications that require sub-millisecond read/write latency at massive scale. Its hybrid memory architecture blends DRAM and flash (NVMe SSD) storage, enabling petabyte-scale datasets to be queried with consistent single-digit millisecond response times. Key use cases include real-time ad decisioning, fraud detection, recommendation engines, and AI inference pipelines.

Full profile

AI Visibility Head-to-Head

73
Overall Score
53
#21
Category Rank
#77
85
AI Consensus
84
stable
Trend
stable
71
ChatGPT
55
75
Perplexity
51
77
Gemini
57
72
Claude
51
75
Grok
53

Key Details

Category
Data Virtualization & Logical Data Management
Real-Time NoSQL Distributed Database
Tier
Leader
Challenger
Entity Type
brand
brand

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