Databricks

What Databricks does

Databricks is a privately held data and AI platform company founded in 2013 and headquartered in San Francisco, serving over 20,000 customers globally including more than 60% of the Fortune 500. The company invented and commercialized the lakehouse architecture, unifying data lakes and data warehouses on a single open foundation (Apache Spark, Delta Lake, MLflow, Unity Catalog) that supports data engineering, analytics, machine learning, and now transactional and AI agent workloads on a common governance layer. Its current product portfolio spans 20+ branded offerings, including the Databricks Data Intelligence Platform, Lakebase (serverless Postgres for AI), Genie and Genie One (conversational and agentic AI), Agent Bricks (production agent platform), Databricks Apps, Unity Catalog and Unity AI Gateway (governance), Lakehouse//RT (real-time analytics), LTAP (unified transactional/analytical processing), Lakewatch (agentic SIEM), CustomerLake (agentic CDP), and a Databricks Marketplace for third-party data and apps.

The company operates a hybrid revenue model combining pay-as-you-go DBU (Databricks Unit) consumption-based compute pricing with multi-year enterprise subscriptions, sold via direct field sales, hyperscaler cloud marketplaces (AWS, Azure, GCP), and an 8,000+ partner Brickbuilder network. Free Edition serves as a product-led growth funnel with 500,000+ users. Databricks is available natively across all three major hyperscalers, with Go-To-Market focused on enterprise accounts and dedicated vertical coverage across financial services, cybersecurity, public sector, healthcare, and life sciences. Annualized revenue run-rate reached $6.9 billion with over 80% YoY growth as of June 2026, and the AI products sub-segment alone exceeds $1.7 billion annualized. The company has raised approximately $11B+ cumulatively, including a $5B Series L at a $134B valuation in December 2025, and is led by co-founder and CEO Ali Ghodsi with co-founders Matei Zaharia (CTO), Reynold Xin, Ion Stoica, Andy Konwinski, Patrick Wendell, and Arsalan Tavakoli-Shirazi remaining in active roles.

Name

Databricks

Legal name

Databricks, Inc.

Website

https://databricks.com

Company type

Private

Founded year

2013

Operating status

Operating

Headcount range

5,001–10,000 employees

Short description

Databricks is a privately held data and AI platform serving 20,000+ customers including 60%+ of the Fortune 500. It offers a unified lakehouse architecture for data engineering, analytics, machine learning, and AI agents, with a $6.9 billion annualized revenue run-rate and over 80% year-over-year growth as of June 2026.

Ownership category

akta.pro rank

Product category

Data and AI Platform / Cloud Data Warehouse

NAICS

Software Publishers (5132), Software Publishers (51321), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)

SIC

Services-Prepackaged Software (7372), Services-Computer Programming Services (7371), Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

Cloud Data Warehouses (HDAEABAA)

akta.pro secondary industries

Data Lake Platforms (HDAEABAC), Metadata, Catalog & Semantic Layer for Data Platforms (HDAEABAJ), Data Sharing, Data Exchange & Data Marketplace Platforms (HDAEABAH), Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH), Data Warehouse/Lakehouse Performance Optimization & Cost Management (HDAEABAL), Data & Analytics Platforms (Data Warehousing, Lakes, Streaming) (HDABAAAF), Model Hosting, Serving & Inference Platforms (HDAAACAB)

Keywords

• Data lakehouse platform
• Unified data analytics
• Enterprise AI platform
• Cloud data engineering
• Machine learning operations

Headquarters

HQ city

San Francisco

HQ country

United States

HQ region

North America

Offices4 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations, Others

Revenue model

1. Cloud Platform Subscriptions: Primary revenue stream from the Data Intelligence Platform sold via cloud providers (AWS, Azure, Google Cloud). Databricks' annualized revenue exceeded $6.9 billion with over 80% year-over-year growth (Q2 2026); crossed $5.4 billion run-rate with over 65% YoY growth in Q4 2025. Net retention rate exceeds 140%, with over 800 customers consuming at least $1 million in annual revenue.
2. Usage-based DBU (Databricks Unit) Compute: Compute and consumption-based billing measured in DBUs (Databricks Units) which vary by workload type and cloud provider. Customers pay for compute resources consumed across data engineering, data warehousing, ML, and AI workloads on a pay-as-you-go basis.
3. Free Edition / Freemium Tier: Free Edition has grown to over 500,000 users who received more than $10 million in free credits since its launch twelve months ago. Includes Genie Code, serverless GPUs, Lakebase, Agent Bricks, and Lakeflow Designer. Acts as PLG funnel into paid tiers.
4. Databricks Marketplace (Apps & Data): Third-party apps, data assets, and AI offerings sold through the Databricks Marketplace. Apps on Databricks Marketplace provides software vendors and data providers with a no-egress distribution channel into thousands of enterprise workspaces, enabling transaction-based revenue. CustomerLake agentic CDP carries no platform fee, charging downstream through compute billing.
5. Professional Services & Forward Deployed Engineering: Forward Deployed Engineering and professional services engagements to migrate enterprise data estates onto the Databricks platform. Includes Data Migration solutions and partner-led implementation.

Pricing tiers

Go-to-market motion1 record

Distribution channels8 records

Marketing channels12 records

Core offering

Databricks sells the Data Intelligence Platform, a unified, open cloud platform that combines data engineering, data warehousing, analytics, and AI/ML on a single lakehouse architecture underpinned by Apache Spark, Delta Lake, MLflow, and Unity Catalog. The platform is sold primarily to enterprise customers via AWS, Azure, and Google Cloud marketplaces on a hybrid subscription + usage-based (DBU) pricing model, with related products covering serverless Postgres (Lakebase), conversational AI (Genie), AI agents (Agent Bricks), governance (Unity Catalog), real-time analytics (Lakehouse//RT), and an enterprise app marketplace.

Product overview

Databricks offers the Databricks Data Intelligence Platform, a single unified platform built on lakehouse architecture that combines data, analytics, and AI capabilities. The platform is built on open source foundations (Apache Spark, Delta Lake, MLflow) and includes core products like Lakehouse (serverless data warehousing), Lakebase (serverless Postgres for AI), Genie (conversational AI), Agent Bricks (production AI agents), Databricks Apps (application development), Unity Catalog (unified governance), Delta Sharing/OpenSharing (data sharing), Lakeflow (data engineering), and AI/BI (analytics). Specialized products extend into security (Lakewatch SIEM), marketing (CustomerLake agentic CDP), real-time analytics (Lakehouse//RT with Reyden engine), transactional/analytical processing (LTAP), AI governance (Unity AI Gateway), and AI orchestration (Omnigent). Genie One serves as the agentic AI coworker for business teams. The platform supports integrations with major AI model providers (OpenAI, Anthropic Claude, Google Gemini, xAI Grok) and is available across AWS, Azure, and Google Cloud.

Differentiator

Problem solved

Functional benefit

Brands

• Lakebase: Serverless Postgres database integrated with the lakehouse, built for the AI era.
• Databricks Genie
• Agent Bricks
• Databricks Lakehouse
• Unity Catalog
• Lakewatch
• CustomerLake
• Databricks Apps
• Lakehouse//RT
• OpenSharing
• Omnigent
• LTAP
• Genie One
• Genie Code

Products and services

• Databricks Data Intelligence Platform Unified, open platform that combines data, analytics, and AI on a single governed foundation built on lakehouse architecture. Supports BI, AI applications, streaming analytics, and operational workloads across AWS, Azure, and Google Cloud with consistent security, performance, and governance.
• Lakebase First serverless Postgres database integrated with the lakehouse, built for the AI era. Merges Postgres reliability and developer experience with the scale, governance, and analytics power of a data lakehouse.
• Databricks Lakehouse (SQL) Serverless data warehousing on open lake data with governance and AI built in. Combines the flexibility of data lakes with the governance of traditional warehouses, reducing legacy warehouse costs and lowering TCO.
• Genie Data-aware AI partner providing conversational analytics interface within the Databricks Platform. Enables business users to get instant insights from enterprise data using natural language without SQL or coding; integrates with 50+ business applications.
• Agent Bricks Builds AI agents that continuously improve quality and accuracy on enterprise data. Supports multi-model (OpenAI, Anthropic, Gemini, Qwen, Kimi, Grok) Choice, Genie Ontology Context, and Unity AI Gateway Control. Over 100,000 agents built and 1+ quadrillion tokens processed annually.
• Databricks Apps Managed serverless runtime for building secure, interactive UIs and applications directly on enterprise data. Eliminates manual infrastructure management and data movement, with built-in auth and governance.
• Unity Catalog Unified governance layer for all data, analytics, and AI assets across clouds. Provides compliance across data, models, dashboards, and agents; evolved into a runtime decision-maker for AI agents via Unity AI Gateway. Used by 14,000+ organizations.
• Delta Sharing / OpenSharing Open data sharing for data, analytics, and AI across platforms. OpenSharing (hosted by the Linux Foundation) supports Delta Lake, Apache Iceberg, and Parquet formats with Genie Agent Sharing, SecureConnect, and Global Distribution capabilities.
• Databricks Marketplace Open marketplace for data, analytics, and AI. Apps on Databricks Marketplace enables customers to discover, install, and run third-party data and AI applications within their secure Databricks workspaces with no egress.
• Lakewatch Open, agentic Security Information and Event Management (SIEM) built for the AI era. Unifies security, IT, and business data with petabyte-scale threat detection, AI-driven detection and response, and up to 80% reduction in TCO. Powered by Anthropic Claude models.
• CustomerLake Native Agentic Customer Data Platform embedded in Databricks with Profile Agents and Campaign Agents for always-on 1:1 personalization via Infinity Campaigns. Integrates identity resolution, audience building, and campaign automation under Unity Catalog governance.
• Genie Code Autonomous AI agent for data engineering, data science, and analytics workflows. Can build pipelines, debug failures, ship dashboards, and maintain production systems. Used by 90% of Databricks customers.
• Genie One Agentic AI coworker for business teams that automates workflows across sales, marketing, and finance. Built on Genie Ontology self-improving context layer integrating 50+ business applications. Available on web, iOS, and Android.
• Databricks AI/BI Next-generation analytics with natural language dashboard creation and deep conversational analytics with Genie. BI built on AI enabling everyone to explore data and uncover insights via AI-powered dashboards.
• Lakeflow Build reliable ETL pipelines for batch and streaming data with a unified solution for ingesting, transforming, and orchestrating data at scale. Powers the data engineering capabilities of the Databricks Platform.
• Unity AI Gateway AI governance platform extending Unity Catalog to govern AI assets including models, agents, MCP services, and skills. Provides unified cost management, runtime controls, and monitoring tools.
• Lakehouse//RT Real-time analytics platform powered by the Reyden compute engine delivering sub-100 millisecond query latency at 12,000 queries per second directly on Delta Lake and Apache Iceberg data. Up to 16x higher performance than conventional real-time serving stacks.
• Zerobus Fully managed serverless ingestion API for streaming real-time data into the Lakehouse platform.
• Databricks Free Edition Free edition of the Databricks Platform providing access to core practitioner features including Genie Code, serverless GPUs, Lakebase, Agent Bricks, and Lakeflow Designer. 500,000+ users received $10M+ in free credits.
• Databricks Ventures Strategic investment arm of Databricks providing capital and go-to-market support to companies building on the Databricks platform, including v4c.ai and Sigma Computing's Series E.

Quantifiable outcome

• adidas achieved 60% latency reduction and 30-40% efficiency gains analyzing 2M+ customer reviews
• +13 more outcomes

Named customers50 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration37 records

AI capability14 records

Feature12 records

Partnerships

33 partnerships are on record, tiered flagship, core and minor.

• NokiaflagshipStrategic or Co-development Partner · 25 June 2026Nokia and Databricks completed a joint proof of concept demonstrating a unified, substrate-agnostic data platform for AI-driven autonomous networks for telecom operators. The PoC validated cloud-agnostic approach enabling network operators to deploy real-time analytics without code rewriting across different environments.
• ZscalercoreStrategic or Co-development Partner · 23 June 2026Zscaler expanded Project AI-Guardian on June 9 by integrating its Zero Trust Exchange and AI Protect portfolio with technology partners including AWS, Google Cloud, OpenAI, Databricks, and CoreWeave to provide unified security framework for enterprise AI ecosystems.
• QlikcoreTechnology or Integration · 23 June 2026Named 2026 Databricks ISV Data Integration Partner of the Year. Portfolio of over 250 connectors enables organizations to move, transform, and activate data for analytics and AI initiatives within the Databricks platform.
• NVIDIA (Genesis Workbench)coreStrategic or Co-development Partner · 23 June 2026Databricks and NVIDIA released Genesis Workbench, an open, modular blueprint integrating NVIDIA's accelerated computing tools including BioNeMo, Parabricks, and CUDA-X libraries into a unified Databricks environment for end-to-end drug discovery.
• NVIDIA BioNeMo Agent Toolkit integrationcoreTechnology or Integration · 23 June 2026Databricks is one of more than 50 companies adopting or integrating NVIDIA's BioNeMo Agent Toolkit (Anthropic, Dassault Systèmes, Lilly, OpenAI, Schrödinger, Snowflake). Applications span virtual screening, genomic analysis, and protein design.
• AI/RcoreImplementation/ SI/ Consulting Partner · 22 June 2026AI/R expanded strategic partnership with Databricks by increasing platform certifications from 11 in 2024 to over 100 currently, achieving Gold status. Recognized as LATAM Delivery Excellence Partner of the Year in 2025. Ailos credit union project increased average transaction value by 31.6%. Plans to expand joint projects across financial services, retail, education, public sector, and healthcare in Latin America.
• Capital One Software (Capital One Financial)coreTechnology or Integration · 21 June 2026Capital One Software launched Databolt Connect on the Databricks Marketplace enabling secure multi-party data collaboration with customizable tokenization and data generalization, supporting HIPAA de-identification workflows and secure record linking in Clean Rooms.
• ThoughtworkscoreImplementation/ SI/ Consulting Partner · 18 June 2026Thoughtworks launched Agent/works for AI governance, a governance and management platform providing enterprises with a single control plane to manage AI agent sprawl. Partnered with Databricks to showcase the platform at the Data + AI Summit 2026.
• Horizon MediacoreTechnology or Integration · 18 June 2026Horizon Media launched agentic buying capabilities within its HorizonOS Blu marketing intelligence platform, powered by Databricks and Newton Research. Partners include Disney, Fox, NBCUniversal, TikTok. Pilot projects underway with SharkNinja.
• ARD (Agentic Resource Discovery) ConsortiumcoreStrategic or Co-development Partner · 18 June 2026Databricks joined a consortium of 11 major technology companies (Microsoft, Google, Cisco, GoDaddy, NVIDIA, Salesforce, Snowflake, ServiceNow, GitHub, Hugging Face) that launched the AI agent open protocol 'ARD (Agentic Resource Discovery)' under the Apache 2.0 license.
• NVIDIAflagshipStrategic or Co-development Partner · 17 June 2026Databricks and NVIDIA expanded collaboration at the Data + AI Summit to deliver an end-to-end AI platform featuring multinode training in AI Runtime, GPU support in the free tier, and enhanced model serving capabilities. The partnership integrates NVIDIA's full computing stack including the new Vera CPU designed for agentic workloads, NVIDIA Quantum InfiniBand networking, and the NVIDIA Agent Toolkit directly into the Databricks platform.
• SiemensflagshipStrategic or Co-development Partner · 17 June 2026Siemens announced a new edge-to-cloud integration partnership with Databricks and FFT Produktionssysteme GmbH, enabling industrial customers to stream production data from Siemens Industrial Edge via FFT DataBridge to the Databricks Platform for centralized AI model training and analysis. Targets over 30,000 potential industrial customers.
• FFT Produktionssysteme GmbHcoreTechnology or Integration · 17 June 2026FFT partnered with Siemens and Databricks to provide FFT DataBridge connecting Siemens Industrial Edge to the Databricks Platform. Together targets over 30,000 potential industrial customers for predictive maintenance, quality optimization, and supply chain management use cases.
• LTM (Larsen & Toubro Group)coreImplementation/ SI/ Consulting Partner · 17 June 2026LTM launched BlueVerse for Databricks combining BlueVerse AI ecosystem with Databricks platform to help enterprises accelerate AI-driven data monetization. Named Databricks 2026 Global COE Partner of the Year. Pre-built industry solutions for Manufacturing, Banking, Financial Services, Insurance, Media & Entertainment, and Retail & Consumer Goods.
• Unity AI Gateway Partner Ecosystem (14 companies)coreTechnology or Integration · 17 June 2026Unity AI Gateway partner ecosystem at Data + AI Summit 2026 featuring integrations from 14 companies across AI security, identity governance, observability, and agent governance. Partners include Alice, CrowdStrike, Cyera, HiddenLayer, Netskope, Noma Security, Obsidian Security, Openlayer, Palo Alto Networks, Zscaler, Okta, Ping Identity, SailPoint, and Saviynt.
• BloomreachcoreTechnology or Integration · 17 June 2026Bloomreach is a launch partner for Databricks CustomerLake agentic CDP. Integration connects Bloomreach's Loomi marketing agent (trained on 12+ years of ecommerce interaction data) to CustomerLake's governed enterprise data foundation for real-time 1:1 personalization across email, web, SMS, and other channels.
• SigmacoreTechnology or Integration · 17 June 2026Sigma named 2026 Databricks ISV Business Intelligence Partner of the Year for the second consecutive year; joined as launch partner for Lakehouse//RT real-time lakehouse. Sigma's recent $80 million Series E funding round included strategic investment from Databricks Ventures and doubled Sigma's valuation to $3 billion.
• Reliance IndustriesflagshipStrategic or Co-development Partner · 17 June 2026Databricks partnered with Reliance Industries which has committed approximately $110 billion to position India as an AI hub through Jio infrastructure, leveraging Databricks' platform to unify data across its diverse businesses for sovereign AI services.
• Exlservice HoldingsminorImplementation/ SI/ Consulting Partner · 17 June 2026Exlservice achieved Gold Tier Status in the Databricks Partner Program. Also has partnership with Lifemed for AI-powered healthcare revenue cycle management.
• SalesforceflagshipStrategic or Co-development Partner · 16 June 2026Salesforce and Databricks expanded their partnership at Data + AI Summit 2026 to help organizations securely connect enterprise data with business context, permissions, and workflows. New governance capabilities include Federated Authentication, identity mapping, cross-platform Federated Search, MCP integrations, MuleSoft Agent Scanners, and Slack integrations. MuleSoft Agent Scanner for Databricks and foundational Data 360 zero copy capabilities are generally available.
• CrowdStrikecoreTechnology or Integration · 16 June 2026CrowdStrike is extending its Falcon AI Detection and Response (AIDR) across AI gateway partners including Databricks, Google Cloud, JetStream Security, Kong, LiteLLM, Maxim AI, Microsoft Azure, and TrueFoundry. Enables correlated telemetry, real-time threat detection, and policy enforcement.
• IterablecoreTechnology or Integration · 16 June 2026Iterable achieved Validated Partner status in Databricks Partner Program and was named a launch partner for Databricks CustomerLake agentic CDP. The partnership includes real-time data velocity, closed-loop AI analytics, and over 130 joint customers.
• AdstracoreTechnology or Integration · 16 June 2026Adstra is a launch partner for Databricks CustomerLake, with Adstra's Conexa identity resolution platform serving as the embedded identity layer. The integration is available today, combining first-party data with third-party signals under privacy controls.
• v4c.aicoreImplementation/ SI/ Consulting Partner · 16 June 2026v4c.ai was awarded 2026 Databricks CSI Emerging Partner of the Year among 7,000+ global partners. Databricks Ventures made a strategic investment in v4c.ai. The company reports over 180 Databricks customers, 400+ delivery professionals, 600+ certifications, and 30+ accelerators developed.
• DeloitteflagshipImplementation/ SI/ Consulting Partner · 16 June 2026Deloitte extends alliance with Databricks to modernize tax data management. Alliance extension offers enhanced tax data management solutions, paving the way for faster AI deployment. Featured as SI partner in Databricks Partner Program.
• AnthropicflagshipStrategic or Co-development Partner · 24 March 2026Anthropic's Claude models power Lakewatch, Databricks' open agentic SIEM product for advanced threat detection and investigations. The deal is described as a landmark partnership for bringing Claude models to Databricks, enabling AI-driven security operations.
• OpenAIflagshipStrategic or Co-development Partner · 1 January 2026OpenAI's models (including GPT-5.5, Codex, and open models) are available on Databricks Data Intelligence Platform, with full governance through Unity AI Gateway. Includes integration into Agent Bricks supporting GPT, Claude, Gemini, DeepSeek, Llama, Qwen, Kimi, and Grok.
• PalantircoreStrategic or Co-development PartnerPalantir and Databricks announced strategic product partnership to accelerate the production of AI applications and reduce TCO. Featured on the Databricks Partners page.
• SAPcoreTechnology or IntegrationSAP partnership enables integration of the Databricks Data Intelligence Platform with critical SAP data for enterprise customers. Featured on Databricks Partners page.
• Amazon Web Services (AWS)flagshipTechnology or IntegrationAWS is one of three cloud providers (AWS, Azure, GCP) where Databricks natively runs. Features include managing data on Amazon S3 with native AWS Marketplace integration, SQL-optimized compute clusters, and support for AWS Graviton instances. AWS is also a Zscaler Project AI-Guardian partner alongside Databricks.
• Microsoft AzureflagshipTechnology or IntegrationNative Azure integration with one-click deployment through the Azure Portal and built-in identity management with Entra ID. Also part of Zscaler Project AI-Guardian partnership and Salesforce zero copy partner ecosystem.
• Google CloudflagshipTechnology or IntegrationGoogle Cloud partnership enables deployment on Google Compute Engine with one-click access from Google Cloud Console and integrated security and billing. Also part of Zscaler Project AI-Guardian.
• Maveric SystemsminorImplementation/ SI/ Consulting PartnerMaveric Systems is developing AI-driven platforms including PulseAI, PrismAI, and FraudSightAI as new growth engines. Expanding through ecosystem partnerships with Databricks and Temenos, actively evaluating acquisition opportunities in India and the US.

Scale indicators12 records

Recent moves8 records

Expansion highlights7 records

Direct peers

• Snowflake: Most direct competitor in cloud data warehousing and lakehouse. Both sell governed, serverless data platforms with strong enterprise adoption and are racing to add AI/agent capabilities. Competes head-to-head on Fortune 500 accounts and open table formats (Iceberg).

Broad incumbents

• Microsoft (Fabric / Synapse): Hyperscaler offering competing unified data + AI capabilities via Microsoft Fabric and Synapse, deeply integrated with Azure distribution and Power BI. Not a direct specialty competitor but bundles overlapping lakehouse, governance, and AI features as part of a broader cloud portfolio.
• Google Cloud (BigQuery / Vertex AI): Hyperscaler with native data warehouse (BigQuery), ML platform (Vertex AI), and Gemini-powered analytics. Competes via cloud marketplace co-sell and increasingly via open table format investments. Overlaps significantly with Databricks' lakehouse + AI stack.
• Amazon Web Services (Redshift / SageMaker): Primary hyperscaler distribution partner for Databricks but also a competitor via Redshift, Athena, SageMaker, and Glue. AWS's open table format investments and Lake Formation governance compete with Unity Catalog for the same enterprise workloads.
• Cloudera: Established enterprise data platform with hybrid/on-premises lakehouse offerings. Less of a direct cloud competitor but addresses similar enterprise data and AI governance workloads, particularly in regulated industries where hybrid deployment is required.

Emerging players

• Palantir Technologies: Data and AI platform focused on enterprise operating systems (AIP, Foundry) with deep vertical penetration in government, defense, and regulated industries. Strategic product partner of Databricks but also increasingly competitive in agentic AI and data governance.
• Confluent: Streaming data platform built on Apache Kafka, addressing a portion of the data infrastructure stack (real-time event streams) that overlaps with Databricks' Lakeflow and Zerobus streaming offerings. Comparable in cloud-native data movement but not in full lakehouse analytics.
• MongoDB: Document/operational database with Atlas cloud platform increasingly positioning for AI workloads. Competes with Lakebase on operational database workloads and shares an enterprise go-to-market motion with strong developer adoption.
• dbt Labs: SQL-first data transformation tool widely adopted alongside Databricks, Spark, and other warehouses. Complements rather than directly competes, but dbt's analytics-engineering layer overlaps with Databricks' Lakeflow designer and Unity Catalog data modeling positioning.
• Starburst: Trino-based data lake query platform that competes directly on open lakehouse analytics, particularly in Iceberg-based deployments. Smaller scale but technically adjacent and targeting the same enterprise lakehouse workloads.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat7 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/databricks
• Facebookfacebook.com/databricksinc
• LinkedInlinkedin.com/company/databricks

Compliance10 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles15 records

Subsidiaries7 records

Funding overview

Funding rounds21 records

Investors103 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A21 records

Investments3 records

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Databricks