Count vs Aerospike

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

Aerospike leads in AI visibility (53 vs 34)
Count logo

Count

EmergingData & Analytics

Data Notebook

Collaborative data notebook that combines SQL, Python, and drag-and-drop visualizations in a shared canvas, enabling data teams to analyze and communicate findings together.

AI VisibilityBeta
Overall Score
D34
Category Rank
#142 of 161
AI Consensus
92%
Trend
stable
Per Platform
ChatGPT
31
Perplexity
34
Gemini
33

About

Count is a collaborative data notebook platform founded in 2019 in London, designed to bridge the gap between data analysis and business communication. Unlike traditional BI tools that separate analysis from presentation, Count provides a single infinite canvas where analysts write SQL and Python cells, create charts and tables, and add narrative context — all in one shareable document. This notebook-meets-whiteboard interface enables data teams to take an analysis from raw query to polished stakeholder presentation without exporting data or switching tools.

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

34
Overall Score
53
#142
Category Rank
#77
92
AI Consensus
84
stable
Trend
stable
31
ChatGPT
55
34
Perplexity
51
33
Gemini
57
34
Claude
51
33
Grok
53

Key Details

Category
Data Notebook
Real-Time NoSQL Distributed Database
Tier
Emerging
Challenger
Entity Type
brand
brand

Capabilities & Ecosystem

Capabilities

Only Count
Data Notebook

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