Data as of Aug 25, 2026 · Based on 1,057 AI responses · See how Parse measures this
Real-Time Analytics Data Platforms
Parse
https://parse.gl
Apache Software Foundation leads, named in 83% of answers, ahead of at 82% and at 35%.
AI assistants consistently position projects from the Apache Software Foundation, namely
Apache Pinot and
Apache Druid, alongside
ClickHouse as the primary solutions for real-time analytics databases. Over the last six months, responses have matured from simple lists into nuanced architectural discussions that include managed platforms like
Tinybird and challengers like
StarRocks.
The market map
Recommended by need
| # | Brand | What AI says | Mention rate |
|---|---|---|---|
| 1 | Home to top-cited open source projects, including Pinot, Druid, and Kafka. | 83% | |
| 2 | Praised for raw query speed and strong performance on large analytical workloads. | 82% | |
| 3 | An emerging managed platform simplifying API and dashboard creation on | 35% | |
| 4 | A rising OLAP engine noted for strong join support at low latency. | 28% | |
| 5 | 20% | ||
| 6 | Recognized for hybrid OLTP and OLAP workloads, especially in earlier responses. | 19% | |
| 7 | 17% | ||
| 8 | 14% | ||
| 9 | 13% | ||
| 10 | 12% | ||
| 11 | 11% | ||
| 12 | 10% | ||
| 13 | 9% | ||
| 14 | 9% | ||
| 15 | 9% | ||
| 16 | 8% | ||
| 17 | 7% | ||
| 18 | 7% | ||
| 19 | 7% | ||
| 20 | 5% | ||
| 21 | 5% | ||
| 22 | 5% | ||
| 23 | 4% | ||
| 24 | 4% | ||
| 25 | 3% |
Who wins on each AI
The same market, seen by two models.
Sources AI cited
tinybird.co is the page AI reaches for most here, cited in 59% of analyzed answers.
“a fast OLAP engine for large datasets” → “the best all-around choice balancing performance, flexibility, and operational simplicity”
Appeared in November 2025 and reached rank #6 by March 2026.
Prominently mentioned in October and November 2025 but cited less frequently in later months.
Rose from rank #4 to #3 between October 2025 and March 2026.
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| 91% | 89% | ||
| 83% | 89% | ||
| 84% | 89% | ||
| 44% | 19% | ||
| 0% | 61% |
The two models disagree most about StarTree (ChatGPT #25, Google #9) and SingleStore (ChatGPT #19, Google #6).
Across 1,057 AI responses, Apache Software Foundation is mentioned most, named in 83% of them, followed by ClickHouse (82%) and Tinybird (35%).
Parse measures each brand's mention rate — the share of answers naming it — across 1,057 AI responses to this market's buyer questions. Answers are collected daily and the ranking is published weekly.
Brands enter the ranking when AI answers mention them. Parse collects answers daily and publishes the re-measured set weekly, so new brands appear as AI starts recommending them.
AI responses consistently recommend a core set of real-time OLAP databases, primarily Apache Pinot,
ClickHouse, and
Apache Druid, for their low-latency query performance. Over time, answers have expanded to include managed platforms like
and newer challengers like , often framing the choice within a larger architectural context of data ingestion and serving layers.
What is the best real-time analytics database for powering user-facing dashboards with low latency?
AI responses consistently recommend a core set of real-time OLAP databases, primarily Apache Pinot,
ClickHouse, and
Apache Druid, for their low-latency query performance. Over time, answers have expanded to include managed platforms like and newer challengers like , often framing the choice within a larger architectural context of data ingestion and serving layers.
Brands mentioned
Brands mentioned
AI answers consistently center on Apache Pinot, Druid, and
ClickHouse as the top choices. A notable trend since January 2026 has been the increased emphasis on the complete data pipeline, with
Apache Kafka frequently mentioned as the essential streaming ingestion component feeding into these databases.