fastest OLAP database for analytics
AI Search Visibility Analysis
Analyze how brands appear across multiple AI search platforms for a specific prompt
Total Mentions
Total number of times a brand appears
across all AI platforms for this prompt
Platform Presence
Number of AI platforms where the brand
was mentioned for this prompt
Linkbacks
Number of times brand website was
linked in AI responses
Sentiment
Overall emotional tone when brand is
mentioned (Positive/Neutral/Negative)
Brand Performance Across AI Platforms
| BRAND | TOTAL MENTIONS | PLATFORM PRESENCE | LINKBACKS | SENTIMENT | SCORE |
|---|---|---|---|---|---|
1ClickHouse | 0 | 3 | 95 | ||
2StarRocks | 0 | 2 | 88 | ||
3Apache Pinot | 0 | 0 | 73 | ||
4Apache Druid | 0 | 0 | 73 | ||
5DuckDB | 0 | 2 | 73 | ||
6Tinybird | 0 | 2 | 73 | ||
7SAP HANA | 0 | 0 | 58 | ||
8Snowflake | 0 | 0 | 55 | ||
9Databricks | 0 | 0 | 55 | ||
10Google BigQuery | 0 | 0 | 55 | ||
11Apache Doris | 0 | 0 | 55 |
Strategic Insights & Recommendations
Dominant Brand
ClickHouse emerges as the most consistently recommended OLAP database across all platforms for its exceptional speed and ability to process billions of rows per second.
Platform Gap
ChatGPT provides broader coverage including SAP HANA, while Perplexity offers the most detailed technical comparison table, and Google AIO focuses more on practical considerations and use case matching.
Link Opportunity
There's significant opportunity for brands like StarRocks and Apache Pinot to increase their visibility, as they appear less prominently despite strong technical capabilities mentioned across platforms.
Key Takeaways for This Prompt
ClickHouse consistently ranks as the fastest OLAP database for large-scale analytics across all three AI platforms.
Apache Druid and Apache Pinot excel specifically in real-time streaming analytics with sub-second query latency.
StarRocks is emerging as a strong contender with modern MPP architecture and lakehouse integration capabilities.
The choice of fastest OLAP database depends heavily on specific use cases, data volume, and real-time processing requirements.
AI Search Engine Responses
Compare how different AI search engines respond to this query
ChatGPT
BRAND (5)
SUMMARY
ChatGPT provides a comprehensive overview of top OLAP databases including ClickHouse (known for processing billions of rows per second), Apache Pinot (LinkedIn's real-time distributed datastore), Apache Druid (excels in real-time analytics), StarRocks (MPP architecture with vectorized queries), and SAP HANA (in-memory columnar database). Each database offers unique strengths for different analytical needs, with ClickHouse being particularly renowned for exceptional speed and scalability.
REFERENCES (5)
Perplexity
BRAND (10)
SUMMARY
Perplexity presents a detailed comparison table of ClickHouse, StarRocks, Apache Druid, and Apache Pinot as the fastest OLAP databases. ClickHouse leads for large-scale real-time analytics with 100x faster performance than row-based databases. StarRocks excels in complex joins with lakehouse integration. Apache Druid specializes in sub-second latency for streaming data, while Apache Pinot offers millisecond latency for fresh data streams. Also mentions cloud warehouses like Snowflake and BigQuery for traditional analytics.
REFERENCES (8)
Google AIO
BRAND (6)
SUMMARY
Google AIO highlights ClickHouse and Apache Druid as top performers, emphasizing ClickHouse's efficiency with large datasets and complex queries, while Apache Druid excels in real-time analytics on time-series data. Also mentions DuckDB for local analysis, Apache Pinot for low-latency queries, and StarRocks for high-performance analytics. Stresses that the 'fastest' depends on specific workload requirements including data volume, query complexity, and real-time needs.
REFERENCES (12)
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