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Databricks

Freemium
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Enterprise unified platform for data engineering, analytics, governance, and AI on a lakehouse architecture.

Веб-сайт:https://databricks.com/
Добавлено:13 июл. 2026 г.
Посетители в месяц:
5.7M
Социальные сети и электронная почта:
data platformlakehousedata engineeringanalyticsAImachine learning
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Databricks
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Информация об инструменте

Что такое Databricks?

Databricks is a Data Intelligence Platform that unifies data, analytics, and AI so organizations can build pipelines, warehouses, applications, agents, and governed insights on open lakehouse architecture across major clouds.

Основные функции

  • Databricks Platform

    Unified platform for data, analytics, and AI to power agents, apps, and natural language insights.

  • Data Engineering

    ETL and orchestration for batch and streaming data to build data pipelines faster.

  • Data Warehousing

    Serverless data warehouse for SQL analytics on an open, intelligent lakehouse.

  • Artificial Intelligence

    Build and deploy machine learning and generative AI applications and production-ready agents grounded in enterprise data.

  • Lakebase Database

    Serverless Postgres for data apps and AI agents, providing a unified transactional lakebase layer.

  • Business Intelligence (AI/BI)

    Intelligent analytics with natural language dashboard creation and conversational analytics for broader data access.

  • Unity Catalog Governance

    Unified open governance for data, models, dashboards, agents, and other analytics and AI assets.

  • Application Development

    Tools to quickly build secure data and AI applications on the platform.

  • Security

    Open agentic SIEM built for the AI era.

  • Customer Data Platform

    Agentic CDP embedded in Databricks for customer data use cases.

  • Sharing and Marketplace

    Open data sharing plus an open marketplace for data, analytics, and AI assets.

  • Solution Accelerators

    Purpose-built notebooks and best practices that help customers move from idea to proof of concept quickly.

Варианты использования

  • #1

    Industry data and AI solutions

    Purpose-built data analytics and AI solutions for industries including telecommunications, media and entertainment, financial services, public sector, healthcare and life sciences, retail, manufacturing, and technology and software.

  • #2

    AI agents

    Build high-quality, production-ready AI agents grounded in business data.

  • #3

    AI governance

    Maintain compliance and unified governance across data, models, dashboards, and agents.

  • #4

    Cybersecurity

    Cross-industry cybersecurity solutions including agentic SIEM capabilities.

  • #5

    Marketing analytics

    Cross-industry marketing solutions on the Databricks platform.

  • #6

    Data migration and deployment

    Data migration and forward deployed engineering to modernize and deploy data and AI workloads.

  • #7

    Intelligent business analytics

    Enable natural language insights, dashboards, and conversational analytics for real-world data.

Лучше всего для:EnterprisesApp developersExecutivesStartupsData and AI practitioners across industries

Тарифные планы

Official site lists product pricing based on Databricks Units (DBUs), a cost calculator, free trial signup, and a Free Edition for learning professional data and AI tools. Detailed paid plan rates are not fully specified in the provided snapshots.

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Часто задаваемые вопросы

What is Databricks?
Databricks is an enterprise unified platform for data engineering, analytics, governance, and AI on a lakehouse architecture. It provides a single Data Intelligence Platform that unifies data, analytics, and AI so organizations can build pipelines, warehouses, applications, agents, and governed insights across major clouds.
What are the core features of Databricks?
Core features include the unified Databricks Platform, data engineering for ETL and orchestration, serverless data warehousing, AI for machine learning and generative applications, Lakebase serverless Postgres, AI/BI intelligent analytics, Unity Catalog governance, application development tools, agentic SIEM security, an embedded customer data platform, open data sharing and marketplace, and solution accelerators.
Who is Databricks designed for?
Databricks targets enterprises, app developers, executives, startups, and data and AI practitioners across industries.
Which platforms and integrations does Databricks support?
Databricks runs on AWS, Azure, GCP, and the web. Integrations include Partner Connect, IDE integrations, Data Marketplace, and a broader partner ecosystem.
How does Databricks pricing work?
Databricks uses a freemium model with pricing based on Databricks Units (DBUs). A cost calculator is available, along with free trial signup and a Free Edition for learning professional data and AI tools. Detailed paid plan rates are not fully specified in official source snapshots.
What use cases can organizations address with Databricks?
Organizations use Databricks for industry-specific data and AI solutions, building production-ready AI agents, AI governance, cybersecurity including agentic SIEM, marketing analytics, data migration and deployment, and intelligent business analytics with natural language insights and dashboards.

Databricks Контакты и социальные сети

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Информация об инструменте

Модель оплатыFreemium
КатегорияАналитика данных
Теги
data platformlakehousedata engineeringanalyticsAImachine learning
Языканглийский
Последнее обновление16 июл. 2026 г.
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