Topic

High-concurrency dashboard analytics

leads by a wide margin for real-time, low-latency analytics dashboards serving many users.

Updated Nov 7, 2026Based on 106 AI answersReviewed by

How we measure

Brands AI mentions

#BrandMentioned in
#1Apache Software Foundation49%
#2ClickHouse22%

Low-latency in-app dashboards with high concurrency and predictable query patterns

wins on complex joins and high cardinality filtering vs Apache Pinot

#3VeloDB14%

Customer-facing analytics with high concurrency and real-time data updates

wins on handling of row level updates and deletes vs append-only OLAP stores

#4StarRocks6%

Complex SQL, joins, and high-concurrency user-facing dashboards

loses on ecosystem vs ClickHouse

#5Tinybird4%

Building real-time APIs and simplifying SQL-based analytics development

Google AI Overviews

  1. 1Apache Software Foundation
  2. 2ClickHouse
  3. 3VeloDB

ChatGPT

  1. 1Apache Software Foundation
  2. 2ClickHouse
  3. 3Influxdata

Google AI Mode

  1. 1Apache Software Foundation
  2. 2ClickHouse
  3. 3SingleStore

ChatGPT

  1. 1Apache Software Foundation
  2. 2ClickHouse
  3. 3StarRocks

leads across the questions we checked.