Public Category Leaderboard

Data Warehouses AI Product Rankings

Managed or deployable analytical data platforms whose primary role includes warehousing and querying large structured or semi-structured datasets.

Current Champion

Snowflake

AI Index 94.1

Podium Snapshot

#1 Snowflake · #2 Google BigQuery · #3 Databricks SQL Warehouse

Latest Refresh

Aug 22, 2026

10 tracked engines and 15 entities in the latest public snapshot.

Category Overview

Data Warehouses AI product rankings show which products are most visible in the current public benchmark. Current leaders include Snowflake, Google BigQuery, and Databricks SQL Warehouse across 10 tracked engines, with score and mention-rate signals combined into the overall AI Index. Snowflake is 0.7 points ahead of Google BigQuery, so the gap helps show whether this category has a clear AI visibility leader or a tighter competitive cluster.

Use the engine tabs below to compare how Perplexity, MiniMax, GLM, and Qwen rank entities differently. Overall ranking summarizes the latest visibility signals across all tracked engines, while engine-specific tabs reveal whether a brand is broadly recommended or over-dependent on one answer system.

Why This Matters

Use the overall ranking to see which products stand out in this category benchmark, then drill into individual AI engines to decide which market, competitors, and prompt themes deserve private tracking. The useful signal is not only the rank: mention rate, score gaps, latest refresh date, and engine outliers show where to investigate next.

Current Ranking Takeaways

Snowflake is the current #1 entity in Data Warehouses with a 94.1 AI Index and 94.4% mention rate. This makes it a useful public benchmark for selecting private comparison prompts, not a guarantee about future AI answers.

Google BigQuery is the nearest visible challenger at #2, trailing Snowflake by 0.7 points. That gap is the first signal to inspect when deciding whether this leaderboard is leader-dominated or actively contested.

Databricks SQL Warehouse rounds out the podium at #3. Comparing the top three against engine-level tabs helps separate broad recommendation consistency from single-engine strength.

The latest public snapshot refreshed on Aug 22, 2026, covering 10 tracked engines and 15 entities. Freshness matters because AI recommendations can shift as models, retrieval sources, and category evidence change.

15

Entities

10

AI Engines

Aug 22, 2026

Last Updated

Ranking Methodology

How this AI product leaderboard is calculated

AI Index

The combined visibility score used to sort the default public leaderboard view.

Mention Rate

How often tracked AI engines mention each product inside completed public runs.

Recommendation Strength

How strongly the answer positions, first mentions, and recommendation signals support each ranking.

Engine Coverage

Compare overall visibility and engine-specific rankings

Data Warehouses currently compares products across 10 tracked AI engines, including Perplexity, MiniMax, GLM, Qwen, Grok, and ChatGPT and 4 more. Use the tabs below to separate broad AI visibility from engine-specific outliers.

Next pages to inspect

Follow the Data Warehouses AI ranking cluster

Leaderboard Podium

Open the leading entity pages in this category leaderboard

Overall Ranking

Overall

Combined AI visibility across all tracked engines. Default view shows the top 10 entities.

10 / 15 entities Aug 22, 2026
Sort
Use the left and right arrow keys to scroll this table horizontally.
RankEntityAI IndexMention Rate
👑 #1
Snowflake
94.1
94.4%
🥈 #2
Google BigQuery
93.5
93.2%
🥉 #3
90.4
90.8%
#4
Amazon Redshift
89.0
88.8%
#5
ClickHouse Cloud
87.9
87.0%
#6
86.8
86.8%
#7
86.2
84.8%
#8
Starburst
85.8
85.6%
#9
SingleStore
85.7
84.6%
#10
Teradata VantageCloud
85.7
83.8%

Explore the collection

Browse all products

Open each published product profile to review its full AI visibility benchmark and trend history.

Next Step

Turn this public category benchmark into a private AI visibility tracker.

Public rankings are useful for market discovery and benchmark context. Private tracking is where teams monitor owned prompts, direct competitors, citations, answer history, action plans, validation evidence, report readiness, and pricing fit.

FAQ

How is the Data Warehouses leaderboard calculated?

Overall ranking combines the latest AI visibility signals across tracked engines for Data Warehouses, including rank position, recommendation strength, and mention-rate patterns.

Why can Snowflake lead overall but differ by engine?

Each AI engine can prefer different brands, evidence, freshness, and recommendation patterns, so engine-specific rankings can diverge from the combined leaderboard.

How often is this Data Warehouses leaderboard updated?

This leaderboard updates whenever new completed runs are available for Data Warehouses, with the latest refresh date shown on the page.