AI Mentions & Sources Report for Analytics and BI
This page provides details about azure.microsoft.com (Tech Companies) which was ranked #27 out of 162 in the list of sources (3 citations (0.9% share)) in answers from AI models (Anthropic Claude Sonnet (latest),
OpenAI ChatGPT Latest) when they were asked the following 1 question: "If I'm looking to get into Analytics & BI, who and what should I know about? Include the most trusted brands, recommended products and services, reputable companies and providers, influential experts and reviewers to follow, helpful communities and resources, important events and conferences, notable startups disrupting the space, and key publications and media channels to stay informed." on Dec 30, 2025 by AI Chat Watch.
| Model | Voice | Position | Citations |
|---|---|---|---|
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| URL Path | Citations | Position |
|---|---|---|
| azure.microsoft.com | 0 | N/A |
| /products/synapse-analytics | 1 | 20 |
| /en-us/products/synapse-analytics | 2 | 42.2 |
If I'm looking to get into Analytics & BI, who and what should I know about? Include the most trusted brands, recommended products and services, reputable companies and providers, influential experts and reviewers to follow, helpful communities and resources, important events and conferences, notable startups disrupting the space, and key publications and media channels to stay informed.
[...] - Cloud data platform - **[Google BigQuery](https://cloud.google.com/bigquery)** - Serverless data warehouse - **[Amazon Redshift](https://aws.amazon.com/redshift/)** - Cloud data warehouse - **[Databricks](https://www.databricks.com/)** - Lakehouse platform combining data lakes and warehouses - **[Azure Synapse Analytics](https://azure.microsoft.com/en-us/products/synapse-analytics)** - Analytics service - **[ClickHouse](https://clickhouse.com/)** - Open-source columnar database ## ETL/ELT & Data Integration Tools - **[Fivetran](https://www.fivetran.com/)** - Automated data integration - **[Airbyte](https://airbyte.com/)** - Open-source data integration platform - **[dbt (d [...]
If I'm looking to get into Analytics & BI, who and what should I know about? Include the most trusted brands, recommended products and services, reputable companies and providers, influential experts and reviewers to follow, helpful communities and resources, important events and conferences, notable startups disrupting the space, and key publications and media channels to stay informed.
[...] ### Semantic / headless BI - **Cube** — [Cube](https://cube.dev/) --- ## 5) Reputable providers & ecosystems (the “where work happens”) If you want to be employable quickly, being conversant in at least one major ecosystem helps. - **Microsoft Azure** (Power BI / Fabric / Synapse ecosystem) — [Microsoft Azure](https://azure.microsoft.com/) - **Microsoft Fabric** (end-to-end analytics SaaS) — [Microsoft Fabric](https://www.microsoft.com/microsoft-fabric) - **Amazon Web Services (AWS)** — [AWS](https://aws.amazon.com/) - **Google Cloud** — [Google Cloud](https://cloud.google.com/) Systems integrators you’ll see on large BI pr [...]
[...] you should know the landscape. **Cloud data warehouses** - **Snowflake** — [Snowflake](https://www.snowflake.com/) - **Google BigQuery** — [BigQuery](https://cloud.google.com/bigquery) - **Amazon Redshift** — [Amazon Redshift](https://aws.amazon.com/redshift/) - **Azure Synapse Analytics** — [Azure Synapse Analytics](https://azure.microsoft.com/products/synapse-analytics/) **Lakehouse / unified platforms** - **Databricks** — [Databricks](https://www.databricks.com/) - “Lakehouse” concept (if you want the framing) — [Databricks Lakehouse](https://www.databricks.com/discover/data-lakes/lakehouse) **Popular analytic databases (often for speed/cost)** - **ClickH [...]