Elicit vs Databricks

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

Databricks leads in AI visibility (79 vs 55)
Elicit logo

Elicit

ChallengerResearch & Analytics

AI Research & Scientific Discovery

AI research assistant searching 138M+ academic papers with sentence-level citations. 2M+ researchers. Raised $33M. Founded 2023 (spun from Ought nonprofit). Private.

AI VisibilityBeta
Overall Score
C55
Category Rank
#1 of 1
AI Consensus
65%
Trend
up
Per Platform
ChatGPT
46
Perplexity
53
Gemini
61

About

Elicit is an AI research assistant spun out in 2023 from Ought (a nonprofit founded in 2017) by CEO Andreas Stuhlmuller. Headquartered in Oakland, California. It has raised $33M total including a $22M Series A (February 2025). Investors include Fifty Years, Basis Set, and angels like Tom Preston-Werner (GitHub) and Jeff Dean (Google).

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
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.

Full profile

AI Visibility Head-to-Head

55
Overall Score
79
#1
Category Rank
#1
65
AI Consensus
58
up
Trend
stable
46
ChatGPT
72
53
Perplexity
79
61
Gemini
73
50
Claude
86
49
Grok
87

Key Details

Category
AI Research & Scientific Discovery
MLOps
Tier
Challenger
Leader
Entity Type
brand
company

Capabilities & Ecosystem

Capabilities

Only Elicit
AI Research & Scientific Discovery
Only Databricks
MLOps
Databricks is classified as company.

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