Premise vs Aerospike

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

AI visibility is closely matched (52 vs 53)
Premise logo

Premise

ChallengerData & Analytics

Field Intelligence & Real-Time Data Collection

Premise is a data and analytics platform leveraging 6M+ on-the-ground contributors across 140+ countries to deliver real-time market intelligence; raised $301M total including $85M Series E in 2021; $75M ARR as of 2025;

AI VisibilityBeta
Overall Score
C52
Category Rank
#95 of 161
AI Consensus
76%
Trend
stable
Per Platform
ChatGPT
47
Perplexity
54
Gemini
55

About

Premise is a data and analytics company founded in 2012 and headquartered in San Francisco, California, that operates a global network of over six million smartphone-enabled on-the-ground contributors across more than 140 countries. The company blends human intelligence with machine learning and data science to collect and deliver real-time, actionable field intelligence on prices, infrastructure conditions, political dynamics, supply chains, and consumer behavior — serving as an alternative to slow, expensive traditional data collection methods such as surveys and direct observation.

Full profile
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

52
Overall Score
53
#95
Category Rank
#77
76
AI Consensus
84
stable
Trend
stable
47
ChatGPT
55
54
Perplexity
51
55
Gemini
57
48
Claude
51
55
Grok
53

Key Details

Category
Field Intelligence & Real-Time Data Collection
Real-Time NoSQL Distributed Database
Tier
Challenger
Challenger
Entity Type
brand
brand

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