SQream vs Aerospike

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

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

SQream

ChallengerData & Analytics

GPU-Accelerated SQL Analytics & Data Warehouse

SQream uses NVIDIA GPU acceleration for SQL analytics on massive datasets; raised $45M Series C (Sep 2023); new CEO Liam Galin appointed Apr 2025; showcased GPU analytics at NVIDIA GTC 2025; serves finance, telecom, and healthcare.

AI VisibilityBeta
Overall Score
C52
Category Rank
#86 of 161
AI Consensus
90%
Trend
stable
Per Platform
ChatGPT
54
Perplexity
56
Gemini
53

About

SQream (also known as SQream Technologies) is a Tel Aviv-based data analytics company founded in 2010 that has built a SQL database and analytics platform powered by NVIDIA GPU acceleration. The company''s core premise is that traditional CPU-based data warehouses are fundamentally limited in their ability to process the massive dataset sizes required for modern AI, machine learning, and analytics workloads — and that GPU parallelism can deliver orders-of-magnitude improvements in query performance, data ingestion speed, and cost-efficiency at scale.

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
#86
Category Rank
#77
90
AI Consensus
84
stable
Trend
stable
54
ChatGPT
55
56
Perplexity
51
53
Gemini
57
56
Claude
51
53
Grok
53

Key Details

Category
GPU-Accelerated SQL Analytics & Data Warehouse
Real-Time NoSQL Distributed Database
Tier
Challenger
Challenger
Entity Type
brand
brand

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