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About aws.amazon.com (Tech Companies)
This page provides details about aws.amazon.com (Tech Companies) which was ranked #16 out of 128 in the list of sources (3 citations (1.1% share)) in answers from AI models (OpenAI ChatGPT Latest,
Google Gemini Flash (latest)) when they were asked the following 1 question: "What does the Analytics & BI industry look like right now? Identify the dominant market leaders and brands, best products and services, key companies and providers, influential figures and thought leaders, emerging startups and trends, major conferences and events, active professional communities, and the top publications and media that cover this industry." on Dec 30, 2025 by AI Chat Watch. This source is referenced for brands: Cloud-native BI.
Used by AI Models
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Pages from aws.amazon.com (2 links)
| URL Path | Citations | Position |
|---|---|---|
| /blogs/big-data | 2 | 3 |
| /quicksight | 1 | 9 |
Brands Referenced By This Website (1 brand)
| Brand | Voice | Mentions |
|---|---|---|
| Cloud-native BI | 1.9% | 3 |
Citations from AI Responses
OpenAI ChatGPT Latest
(2 citations)
What does the Analytics & BI industry look like right now? Identify the dominant market leaders and brands, best products and services, key companies and providers, influential figures and thought leaders, emerging startups and trends, major conferences and events, active professional communities, and the top publications and media that cover this industry.
[...] BI + AI-assisted analysis**. Key macro-shifts you’ll see across most enterprises: - **Cloud suites becoming default**: BI is increasingly bought as part of larger cloud ecosystems like [Microsoft Fabric](https://www.microsoft.com/en-us/microsoft-fabric), [Google Cloud](https://cloud.google.com/), [AWS](https://aws.amazon.com/), and [Oracle Cloud](https://www.oracle.com/cloud/). - **Lakehouse + open table formats** gaining mindshare: platforms built around the “lakehouse” idea (see [Data lakehouse (Wikipedia)](https://en.wikipedia.org/wiki/Data_lakehouse)) and formats like [Apache Iceberg](https://iceberg.apache.org/), [ [...]
[...] ) Vendor engineering blogs (often where new features first appear): - [Databricks Blog](https://www.databricks.com/blog) - [Snowflake Blog](https://www.snowflake.com/blog/) - [Microsoft Power BI Blog](https://powerbi.microsoft.com/en-us/blog/) - [Google Cloud Blog](https://cloud.google.com/blog) - [AWS Big Data Blog](https://aws.amazon.com/blogs/big-data/) --- ### If you tell me your context, I can tailor this map 1) Are you looking at this as a **buyer**, **job seeker**, **investor**, or **builder**? 2) What’s your “home base” platform today (e.g., [Snowflake](https://www.snowflake.com/), [Databricks](https://www.databricks.com/), [BigQuery](ht [...]
Google Gemini Flash (latest)
(1 citation)
What does the Analytics & BI industry look like right now? Identify the dominant market leaders and brands, best products and services, key companies and providers, influential figures and thought leaders, emerging startups and trends, major conferences and events, active professional communities, and the top publications and media that cover this industry.
[...] rn Data Stack" infrastructure. * **Snowflake**: The leading cloud data warehouse. [Snowflake](https://www.snowflake.com/) * **Databricks**: Pioneer of the "Data Lakehouse" architecture. [Databricks](https://www.databricks.com/) * **AWS (Amazon QuickSight)**: Amazon’s cloud-native BI service. [Amazon QuickSight](https://aws.amazon.com/quicksight/) * **dbt Labs**: The standard for data transformation in the warehouse. [dbt Labs](https://www.getdbt.com/) * **Fivetran**: Dominant player in automated data movement (ELT). [Fivetran](https://www.fivetran.com/) --- ### 3. Emerging Startups & Trends * **Generative BI**: Using LLMs to build [...]
