Databricks

Big Data Analytics

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, ...

Employees

501-1000

Pricing

Public pricing page

AI Classification

DataAIAI/ML Platform

Databricks provides a unified Data and AI platform (the Lakehouse Platform) that combines data engineering, data warehousing, analytics, and machine learning capabilities on a single cloud-native architecture. The company serves enterprise data and AI teams across industries including financial services, healthcare, retail, and technology, competing directly with Snowflake, Google BigQuery, and AWS Redshift.

Deep Intelligence

Buying Signals

Continued platform expansion with Unity Catalog for data governance, indicating active product investment and cross-sell surface area within enterprise accounts
Acquisitions of AI-focused companies (e.g., MosaicML, Tabular) signal aggressive inorganic growth and capability expansion into generative AI and open table formats
Strong international expansion with regional cloud deployments across AWS, Azure, and GCP, indicating multi-cloud enterprise contract growth
Heavy engineering and go-to-market hiring consistent with a company scaling toward and beyond $1B ARR
Active developer community and open-source contributions (Delta Lake, MLflow, Apache Spark lineage) driving bottom-up enterprise pipeline

Account Scoring

Tier ALow Churn RiskExpanding

Pain Signals

Increasing platform complexity across data engineering, ML, and BI workloads may create onboarding and adoption friction for customers without mature data teams
Pricing opacity (consumption-based, custom enterprise contracts) can create budget unpredictability for mid-market buyers attempting to adopt the platform
Competitive pressure from Snowflake's AI/ML feature expansion and cloud-native warehouse players narrows Databricks' differentiation in pure analytics use cases