Census vs Databricks

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

Databricks leads in AI visibility (93 vs 39)
Census logo

Census

EmergingData & Analytics

General

Reverse ETL platform syncing data from Snowflake, BigQuery, Databricks, and Redshift into Salesforce, HubSpot, and 200+ tools; raised $60M Series B from a16z;

AI VisibilityBeta
Overall Score
D39
Category Rank
#109 of 161
AI Consensus
80%
Trend
stable
Per Platform
ChatGPT
36
Perplexity
33
Gemini
38

About

Census is a reverse ETL and data activation platform that syncs data from warehouses (Snowflake, BigQuery, Databricks, Redshift) into business tools like Salesforce, HubSpot, Intercom, and 200+ other applications, enabling data teams to operationalize analytics insights without building custom pipelines. Founded in 2018 and headquartered in San Francisco, Census coined the term "reverse ETL" to describe the category it created: moving data from the warehouse back into the operational tools where sales, marketing, and success teams work.

Full profile
Databricks logo

Databricks

LeaderData & Analytics

MLOps

$4.8B revenue run-rate; 55% YoY growth; $134B valuation (Series L). Mosaic AI for enterprise LLM fine-tuning and inference; Unity Catalog for data governance. DBRX open-source model; every major enterprise AI deployment runs on the lakehouse.

AI VisibilityBeta
Overall Score
A93
Category Rank
#1 of 161
AI Consensus
83%
Trend
stable
Per Platform
ChatGPT
90
Perplexity
91
Gemini
93

About

Databricks was founded in 2013 by the original creators of Apache Spark — Ali Ghodsi, Matei Zaharia, and five other UC Berkeley researchers — to unify data engineering, analytics, and machine learning on a single platform. The company commercialized the lakehouse architecture, combining the flexibility of data lakes with the reliability of data warehouses. Databricks runs on AWS, Azure, and GCP and leads the commercial distribution of the open-source Delta Lake and MLflow projects.\n\nThe platform includes the Databricks Lakehouse for unified data processing, Unity Catalog for governance and lineage tracking, and Mosaic AI for enterprise LLM fine-tuning, model serving, and generative AI application development. It supports data engineering, SQL analytics, BI, feature engineering, and model training within a single governance perimeter, serving enterprises in financial services, healthcare, manufacturing, and media.\n\nDatabricks achieved a $4.8 billion annualized revenue run-rate in early 2025 with 55% year-over-year growth and a $62 billion valuation from its Series L round — one of the most valuable private software companies globally. Its dual role as the leading commercial lakehouse vendor and steward of influential open-source projects gives it a unique ecosystem advantage as enterprises accelerate investment in AI infrastructure.

Full profile

AI Visibility Head-to-Head

39
Overall Score
93
#109
Category Rank
#1
80
AI Consensus
83
stable
Trend
stable
36
ChatGPT
90
33
Perplexity
91
38
Gemini
93
37
Claude
96
42
Grok
89

Key Details

Category
General
MLOps
Tier
Emerging
Leader
Entity Type
brand
company

Capabilities & Ecosystem

Capabilities

Only Databricks
MLOps
Databricks is classified as company.

Track AI Visibility in Real Time

Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.