Databricks
Enterprise lakehouse platform for data, analytics and AI.
Available information varies by company and source.
Profile record updated:
Company facts
- Official name
- Databricks, Inc.
- Entity type
- COMPANY
- Founded
- 2013
- Headquarters
- United States
- Company size
- >5,000
- Market role
- B2B SaaS Provider
- Official website
- databricks.com
What Databricks does
Databricks operates a B2B cloud software model centred on a managed lakehouse platform. It creates value by consolidating multiple enterprise data functions—ingestion, processing, analytics, governance, model development and application deployment—into one environment. Customers adopt the platform for technical standardisation, multi-workload support and reduced tooling sprawl, while Databricks expands revenue through higher platform usage, broader product adoption and adjacent infrastructure modules.
Category differentiation
Databricks is an enterprise data and AI platform vendor, not a consumer app, adtech company or pure cloud infrastructure provider. It competes more directly with data warehouse and analytics platforms than with standalone developer notebook tools.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
Databricks is a private US enterprise software company that sells a cloud-based data and AI platform to business customers. Its core offer is a unified lakehouse environment for data storage, engineering, analytics, governance, sharing and machine learning, with adjacent products for SQL warehousing, application development, security monitoring and marketplace-based data exchange. The company serves enterprise data teams, analytics teams, developers, security teams and IT leaders. The business makes money primarily through consumption-based software pricing tied to platform compute usage, with additional revenue from premium platform capabilities and marketplace-related activity. The platform is positioned to replace or reduce the need for separate tools across data pipelines, warehousing, governance and AI workflows, which supports larger account expansion within enterprise customers.
Company news briefing
Briefing updated:
Databricks continues to strengthen its enterprise ecosystem through native integrations with OpenAI's newly launched ChatGPT Work Data Agent, leveraging tools like Databricks Genie Ontology for natural-language querying. Alongside expanding enterprise data connections, the company remains positioned among key enterprise software providers as broader market dynamics reflect evolving private and public valuations across the technology sector.
Business model & monetisation
Databricks primarily monetises through a SaaS-style consumption model based on Databricks Units (DBUs), where customers pay according to compute consumed across data processing, SQL analytics, machine learning and AI workloads. The commercial model is effectively dual-billing: Databricks charges for platform usage, while the customer separately pays its cloud provider for infrastructure. Additional monetisation comes from premium enterprise capabilities, broader product modules and marketplace-related transactions or data asset commercialisation.
- Core platform compute consumption
- Usage-based DBU pricing
- SQL analytics and warehousing workloads
- Consumption-based SaaS
- AI and machine learning platform usage
- Consumption-based SaaS
- Governance, security and premium enterprise capabilities
- Premium software packaging
- Marketplace-related transactions and asset monetisation
- Marketplace take-rate / platform monetisation
Products & capabilities
No products with linked sources are available in this view.
Products & market categories
Competitors & alternatives
- Hitachi
Industrial and enterprise technology group selling software, infrastructure and services.
- Hevo
No-code ELT platform for cloud data pipelines and transformations.
- IBM
Enterprise cloud, AI, security and consulting provider.
- VAST Data
Unified AI data platform for enterprise storage, database and orchestration.
Side-by-side comparisons
Subsidiaries & acquisitions
- Neon
Serverless Postgres backend for developers and AI apps.
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
Blackbaud Unveils Platform for Good, Unified Social Impact OS
Platform · Recorded impact score: 2/5
Blackbaud, a leading provider of AI-powered solutions for the social impact sector, announced the launch of Platform for Good™, described as the industry's first unified operating system. This platform integrates data, AI, and workflows into a single connected pipeline. It comprises three layers: the Data Core, Intelligence Layer, and Action Layer. The announcement includes several innovations: Lantern, a domain-specific language model for fundraising intelligence developed with Databricks; an expansion of Agents for Good™, including the Development Agent and new Data Health Agent; the rebuilt Raiser's Edge NXT® as a native cloud, AI-powered fundraising CRM; the introduction of Blackbaud Marketing™; new financial workflows with an Accounts Payable Agent, Payment Assistant™ (with BILL), and Deposit Connect™; and the Higher Education Connected Campus solution developed with Student First. These innovations were unveiled at Blackbaud's annual customer conference, bbcon, and are designed to help organizations identify growth opportunities and expand capacity.
- Blackbaud announced Platform for Good™, a unified operating system for social impact, at its bbcon conference.
- The platform comprises a Data Core, an Intelligence Layer powered by the Social Impact Signal Graph, and an Action Layer with AI assistants and agents.
Evalueserve Partners with Databricks to Accelerate Data and AI
Partnership · Recorded impact score: 3/5
Evalueserve, a global domain-led AI services firm, has announced a partnership with Databricks, the Data and AI company, to help enterprises modernize their data environments, strengthen data governance, and build trusted foundations for scaling analytics and AI. The collaboration combines the Databricks Data + AI Platform with Evalueserve's data engineering, AI, and domain expertise. Initial solutions include a Private Credit Intelligence Accelerator, a Data Quality Framework, and Automodel Generators. Evalueserve aims to deliver repeatable solutions that make complex enterprise data more usable and trusted, enabling organizations to accelerate AI adoption at scale.
- Evalueserve announced a partnership with Databricks.
- The partnership aims to help enterprises modernize data environments and scale AI.
Databricks Acquires Row Zero, Plans More Startup Acquisitions
M&A · Recorded impact score: 3/5
Databricks announced the acquisition of Row Zero, a startup offering cloud-based spreadsheets that can handle over a million live rows. The acquisition was driven by Databricks' finance team, who used Row Zero with Databricks' AI agent Genie for natural-language data queries. By integrating Row Zero, Databricks aims to provide a secure, spreadsheet-based interface for interacting with enterprise data, combining BI, AI agents, and familiar spreadsheet tools. Financial terms were not disclosed. Row Zero had raised $10 million in May 2025 at a $40 million valuation. Databricks, with $7 billion in annualized revenue, has been actively acquiring startups in 2026, including Quotient AI, SiftD.ai, Panther, and Electric, and plans more acquisitions. CEO Ali Ghodsi emphasized the strategic importance of spreadsheets as a user-friendly data interface.
- Databricks acquired Row Zero, a cloud spreadsheet startup.
- Row Zero was founded by former AWS and Tableau engineers.
Noma Named Gartner Market Shaper for Agent Security
AI Security · Recorded impact score: 2/5
Noma, an enterprise AI and agent security platform, has been recognized as a Market Shaper in the Gartner Emerging Market Quadrant for AI Application Security – Startup Vendors. The company is placed in the quadrant Gartner defines as 'Full-Spectrum, Context-Aware Agentic Security,' which focuses on analyzing AI agents' behaviors, aligning intent with runtime actions, and detecting deviations. Noma's platform provides coverage across endpoint, SaaS, and cloud agents, a unified control plane (AI Constitution), runtime context engine, and flexible enforcement through integrations with gateways and platforms. The recognition follows Noma's previous Cool Vendor designation and inclusion in multiple Gartner research reports. Noma is deployed on over 2.6 million endpoints and serves Fortune 500 and Global 2000 enterprises. Databricks is both a strategic partner and an early investor.
- Gartner named Noma a Market Shaper in the Emerging Market Quadrant for AI Application Security (Startup Vendors).
- Noma's placement is in the 'Full-Spectrum, Context-Aware Agentic Security' quadrant.
Persistent Earns Databricks Brickbuilder Specialization for BFSI Governance
Partnership · Recorded impact score: 2/5
Persistent Systems, a global digital engineering company, announced it has achieved the Databricks Brickbuilder Specialization for the Banking, Financial Services, and Insurance (BFSI) sector. This recognition, announced on September 22, 2026, highlights Persistent's expertise in delivering solutions on the Databricks Data Intelligence Platform. The specialization enhances Persistent's ability to help financial institutions transform fragmented data and AI pilots into scalable, governed solutions. It leverages certified Databricks experts, reusable accelerators, and proven BFSI implementation patterns to reduce deployment complexity in risk, fraud, and customer intelligence. Persistent utilizes Databricks technologies including Delta Lake, Unity Catalog, and Mosaic AI to unify financial data in a regulated AI layer. The company also highlighted its merchant risk management solution and collaboration with major European and Japanese banks. Persistent is a Silver-tier Global Systems Integrator partner of Databricks with over 1,000 certifications.
- Persistent Systems achieved the Databricks Brickbuilder Specialization for BFSI on September 22, 2026.
- Persistent has over 1,000 Databricks certifications and 10+ accelerators on the platform.
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Questions about Databricks
What is Databricks?
Databricks is a B2B cloud software company that provides a unified platform for data engineering, analytics, governance and AI workloads.
Who uses Databricks?
Its users include enterprise data engineers, analysts, data scientists, AI teams, developers, governance teams and IT leaders.
How does Databricks make money?
It mainly charges businesses on a consumption basis for platform compute usage, with added revenue from premium capabilities and marketplace activity.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
18 publicly documented primary sources and citations linked across the market graph.
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