Premise vs Databricks

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

Premise logo

Premise

ChallengerData & Analytics

Field Intelligence & Real-Time Data Collection

Premise is a data and analytics platform leveraging 6M+ on-the-ground contributors across 140+ countries to deliver real-time market intelligence; raised $301M total including $85M Series E in 2021; $75M ARR as of 2025;

About

Premise is a data and analytics company founded in 2012 and headquartered in San Francisco, California, that operates a global network of over six million smartphone-enabled on-the-ground contributors across more than 140 countries. The company blends human intelligence with machine learning and data science to collect and deliver real-time, actionable field intelligence on prices, infrastructure conditions, political dynamics, supply chains, and consumer behavior — serving as an alternative to slow, expensive traditional data collection methods such as surveys and direct observation.

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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
B79
Category Rank
#1 of 2
AI Consensus
58%
Trend
stable
Per Platform
ChatGPT
72
Perplexity
79
Gemini
73

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.

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Key Details

Category
Field Intelligence & Real-Time Data Collection
MLOps
Tier
Challenger
Leader
Entity Type
brand
company

Capabilities & Ecosystem

Capabilities

Only Databricks
MLOps
Databricks is classified as company.

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