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Brief

Databricks Data Intelligence Platform

Data Infrastructure & AI PlatformProduct· part of Databricks

Databricks Data Intelligence Platform is a data and AI company that combines a unified intelligence platform with out-of-the-box integrations to an ecosystem of leading marketing and technology solution providers.

Last updated Oct 5, 2026 by the ATDb Editorial Team

Founded
2013
HQ
San Francisco, California, United States
Parent
Databricks
Connections
19

AI-drafted from public sources2 sources cited

At a glance

Funding
$4.2B+
Revenue
$1.6B+ ARR (FY2024 reported)
18integrations1corporate family
Attribution & AnalyticsAI-Powered PlatformData Management Platform

About

Leading open lakehouse data and AI platform; one of the highest-valued private cloud data companies globally, competing head-to-head with Snowflake and hyperscaler-native analytics services.

Databricks Data Intelligence Platform is a data and AI company that combines a unified intelligence platform with out-of-the-box integrations to an ecosystem of leading marketing and technology solution providers. Marketers and media teams can build highly accurate customer records and performance-driven media segments directly within the Lakehouse to power autonomous marketing agents, multi-channel activation, campaign planning, and advanced analytics optimized by AI. The platform supports cross-media measurement across all forms of advertising, including TV, CTV, social media platforms, publishers, and programmatic. As the digital ecosystem evolves beyond third-party cookies, Databricks' Data Intelligence Platform and Delta Sharing protocol also support privacy-first data collaboration, enabling brands, agencies, and marketers to activate and scale audience data securely. Partners across the ecosystem — including Adobe, Braze, Salesforce, Epsilon, Hightouch, and OneTrust, as well as solution integrators such as Deloitte and Slalom — extend the platform's capabilities to deliver custom marketing and advertising solutions at scale. Source 1: prnewswire.com — Databricks Unveils Data Intelligence for Marketing Source 2: liveramp.com — LiveRamp for Databricks Source 3: fluentco.com — Fluent, Inc. Expands Data Intelligence & ...

Business model

SaaS / Usage-based Cloud Platform

Target market

Enterprise

What they offer

  • Delta Lake

    Open-source storage layer providing ACID transactions, scalable metadata handling, and unified batch/streaming data processing on cloud object storage.

  • Databricks SQL

    Serverless and classic SQL warehousing for BI and analytics workloads, with built-in query optimization and governance.

  • Databricks Machine Learning

    End-to-end ML lifecycle management including experiment tracking (MLflow), model registry, feature store, and AutoML.

  • Databricks Workflows

    Orchestration and scheduling for multi-task data and ML pipelines with dependency management.

  • Unity Catalog

    Unified governance layer for data and AI assets — providing fine-grained access control, lineage, and auditing across the entire platform.

  • Delta Sharing

    Open protocol for secure, real-time data sharing across organizations and cloud platforms without data movement.

  • Databricks Marketplace

    Data and AI marketplace for discovering, sharing, and monetizing data products, models, and notebooks.

  • Mosaic AI (formerly Databricks AI)

    Suite of tools for building, fine-tuning, and deploying large language models and generative AI applications, including DBRX and Model Serving.

  • Databricks Lakehouse Monitoring

    Automated data and model quality monitoring with drift detection and alerting across lakehouse assets.

  • Photon Engine

    Databricks-native vectorized query engine written in C++ that accelerates SQL and DataFrame workloads significantly over standard Spark.

Key features

Unified lakehouse architecture combining data lake flexibility with data warehouse performanceApache Spark-based distributed compute at massive scaleDelta Lake ACID transactions on cloud object storageUnity Catalog for unified data and AI governanceNative MLflow integration for end-to-end ML lifecycleServerless compute options for SQL and notebooksReal-time streaming with Structured Streaming and Delta Live TablesGenerative AI and LLM tooling via Mosaic AIDelta Sharing for cross-organization data collaborationMulti-cloud support (AWS, Azure, GCP)

Use cases

Audience segmentation and behavioral data processing for advertisingAttribution modeling and campaign performance analyticsReal-time bidstream data processing and log analyticsIdentity resolution and data enrichment pipelinesPrivacy-safe data clean rooms and second-party data collaborationPredictive churn and LTV modeling for media and retailFeature engineering for programmatic bidding optimization modelsData lakehouse consolidation replacing fragmented data warehouse + data lake stacksGenerative AI application development on proprietary enterprise dataRegulatory compliance and data lineage tracking

Customer segments

Large enterprise data engineering teamsFinancial services and fintechRetail and e-commerceMedia, publishing, and AdTech platformsHealthcare and life sciencesTelecommunicationsTechnology companies and SaaS vendorsGovernment and public sector

Tech & specs

Technology stack

Apache SparkDelta LakeMLflowPython / PySparkScalaSQLPhoton (C++ vectorized engine)KubernetesApache ArrowDelta Sharing protocolREST APIs / JDBC / ODBCTerraform (infrastructure-as-code support)

Security & compliance

SOC 2 Type IIISO 27001GDPRCCPAHIPAAFedRAMP (in progress / authorized tiers)PCI DSSCSA STAR

Deployment

Cloud (AWS)Cloud (Microsoft Azure)Cloud (Google Cloud Platform)Serverless

API

Yes

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