Preset vs dbt Labs

Side-by-side comparison of AI visibility scores, market position, and capabilities

dbt Labs leads in AI visibility (60 vs 28)
Preset logo

Preset

EmergingData & Analytics

Managed Open-Source BI

Managed cloud service for Apache Superset providing enterprise-ready hosting, security, and support for teams that want open-source BI without managing infrastructure.

AI VisibilityBeta
Overall Score
D28
Category Rank
#1 of 1
AI Consensus
83%
Trend
up
Per Platform
ChatGPT
21
Perplexity
25
Gemini
27

About

Preset is a managed cloud data exploration and visualization platform founded in 2019 by Maxime Beauchemin, the original creator of Apache Superset and Apache Airflow. Preset takes the powerful open-source Superset project and packages it as a fully managed SaaS service, eliminating the significant operational burden of self-hosting, upgrading, and securing an open-source BI platform. Organizations that want Superset's flexibility and no per-seat licensing fees gain enterprise-grade reliability, SSO, role-based access, and professional support through Preset without maintaining their own infrastructure.

Full profile
dbt Labs logo

dbt Labs

ChallengerData & Analytics

Data Transformation

Analytics engineering company that created dbt and established the discipline as a category; Oct 2025 all-stock merger with Fivetran announced; acquired SDF Jan 2025;

AI VisibilityBeta
Overall Score
B60
Category Rank
#1 of 3
AI Consensus
55%
Trend
down
Per Platform
ChatGPT
70
Perplexity
66
Gemini
58

About

dbt Labs is a data transformation and analytics engineering company founded in 2016 and headquartered in Philadelphia, Pennsylvania, that created dbt (data build tool) — the open-source framework that established analytics engineering as a discipline and became the de facto standard for transforming raw data in the modern data warehouse. The company was founded by Tristan Handy, Drew Banin, and Connor McArthur with the conviction that data analysts should have the same software engineering workflows — version control, testing, documentation, modularity — that application engineers take for granted. dbt brought those practices to SQL-based data transformation, enabling data teams to build reliable, maintainable data pipelines.\n\nThe dbt product ecosystem includes dbt Core (the open-source transformation framework), dbt Cloud (the managed development and deployment platform), dbt Explorer (data lineage and documentation), and a growing set of features for data governance and collaboration. In January 2025, dbt Labs acquired SDF Labs, a high-performance SQL compilation and semantic layer technology, deepening its capabilities in query planning and column-level lineage. dbt integrates natively with major cloud data warehouses including Snowflake, Databricks, BigQuery, and Redshift, and sits at the center of the modern data stack alongside ingestion tools like Fivetran and orchestration platforms like Airflow.\n\nIn October 2025, dbt Labs announced an all-stock merger with Fivetran, a combination that would unite the leading data ingestion and transformation layers of the modern data stack under one company. dbt Core's open-source community spans hundreds of thousands of data practitioners globally, and dbt Cloud serves thousands of paying enterprise customers. The merger, if completed, would create a dominant end-to-end data pipeline company and redefine the competitive landscape in the modern data stack market.

Full profile

AI Visibility Head-to-Head

28
Overall Score
60
#1
Category Rank
#1
83
AI Consensus
55
up
Trend
down
21
ChatGPT
70
25
Perplexity
66
27
Gemini
58
28
Claude
52
27
Grok
67

Key Details

Category
Managed Open-Source BI
Data Transformation
Tier
Emerging
Challenger
Entity Type
brand
brand

Capabilities & Ecosystem

Capabilities

Only Preset
Managed Open-Source BI
Only dbt Labs
Data Transformation

Integrations

Only dbt Labs

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