Databricks (2026)

Databricks is Bring AI to your data. Bring AI to the world.. Databricks is the Data and AI company offering a Data Intelligence Platform with open lakehouse architecture. Founded in 2013 by creators of Apache Spark, Delta Lake, MLflow, and Unity Catalog, it unifies data, governance, and AI. The platform enables all users—from technical teams to business analysts—to discover, analyze, and operationalize data via automation and natural language processing. Key capabilities include Agent Bricks for AI agents, Lakebase for operational databases, and Databricks One for business users. Trusted by over 15,000-20,000 organizations worldwide, including 60%+ of the Fortune 500, with annualized revenue run rate exceeding $4.8B. Available on Web App, CLI Tool, API, Databricks is designed to enhance productivity and deliver professional-grade data analytics capabilities.

Databricks offers Pay-per-Use, Enterprise pricing options. Pay-per-use based on DBUs. Premium tier: Jobs Compute $0.30/DBU-hour, All-Purpose Compute $0.55/DBU-hour, SQL Compute $0.22/DBU-hour, SQL Pro Compute $0.55/DBU-hour, Serverless SQL $0.70/DBU-hour. Add... Pricing is designed to scale with your needs, from individual users to enterprise teams. For the most current pricing details and plan comparisons, visit the official Databricks pricing page or contact their sales team for custom enterprise quotes.

Databricks takes data privacy seriously and implements industry-standard security measures. Data is hosted in Global, providing transparency about where your information resides. For comprehensive details about data handling, encryption, and privacy practices, review their official privacy policy. Security and compliance are continuously updated to meet evolving industry standards.

Databricks is available on Web App, CLI Tool, API. The web application provides full functionality directly in your browser without requiring downloads. API access allows developers to integrate Databricks capabilities directly into their own applications and workflows. This multi-platform approach ensures you can use Databricks wherever and however you work best.

Databricks accepts Databricks supports various data formats including CSV, Parquet, JSON, and more. Users can easily import and work with different types of data. as input formats, making it compatible with your existing files and workflows. Output is delivered in Users can export results and visualizations from Databricks in multiple formats such as CSV, Parquet, JSON, and more for further analysis or sharing., ensuring compatibility with downstream tools and platforms. This format flexibility allows seamless integration into diverse tech stacks and creative pipelines. Whether you're importing data, exporting results, or chaining multiple tools together, Databricks handles format conversions efficiently without manual intervention.

Databricks is developed and maintained by Databricks, based in United States. Most recently updated in January 2026, the platform remains actively maintained with regular feature releases and bug fixes. This ongoing commitment ensures Databricks stays competitive and aligned with industry best practices.

Databricks is requires user registration and authentication for access. Create an account through the official website to begin your onboarding process.

Databricks uses Credits, Pay-as-You-Go, Storage as billing metrics. Credit-based systems offer flexibility, allowing you to purchase credits in advance and consume them as needed. This usage model ensures you only pay for what you actually use, avoiding unnecessary overhead costs for features you don't need.

Databricks supports Cloud deployment configurations. Cloud-hosted options provide instant scalability without infrastructure management overhead. Choose the deployment model that best aligns with your technical requirements, security constraints, and operational preferences.

Databricks is primarily designed for Software Developers, Scientists and Business Executives. Professionals in data analytics find it invaluable for streamlining their daily tasks. Whether you need automation, creative assistance, data analysis, or communication support, Databricks provides valuable capabilities for multiple use cases and skill levels.

Yes! Databricks offers video tutorials including "AI Agents with Databricks in 5 Minutes" to help you get started quickly and master key features. Video content provides step-by-step walkthroughs that complement written documentation, making it easier to visualize workflows and understand best practices. These tutorials cover everything from basic setup to advanced techniques, ensuring users of all skill levels can leverage the platform effectively. Visual learning materials are particularly helpful for onboarding new team members or exploring complex features that benefit from demonstration.

Yes, Databricks provides SDK support for Python, JVM (Java/Kotlin/Scala), .NET (C#), R/MATLAB, Other. This enables developers to integrate the tool's capabilities into custom applications.

Databricks is actively maintained with regular updates to improve features, security, and performance. Databricks continuously develops the platform based on user feedback and industry advancements. Updates typically include new AI capabilities, interface improvements, bug fixes, and security patches. Comprehensive API documentation is kept current with each release, making it easy for developers to leverage new features. Staying up-to-date ensures you benefit from the latest AI advancements and best practices in data analytics.

Databricks has received 4 user reviews with an average rating of 4.0 out of 5 stars. This solid rating indicates the tool meets or exceeds most users' expectations across various use cases. Additionally, Databricks has received 103 favorites from the community, indicating strong interest and recommendation. Reading detailed reviews helps you understand real-world performance, common use cases, and potential limitations before committing to the platform.

Yes, Databricks's listing was last verified recently by our editorial team. This recent verification ensures all information reflects the current state of the platform. Our verification process checks pricing accuracy, feature availability, platform support, and official links. If you notice outdated information, you can submit corrections through our community contribution system to help keep the directory current and reliable for all users.

Databricks distinguishes itself in the Data Analytics category through its comprehensive feature set and professional-grade capabilities. When evaluating options, consider your specific requirements around pricing, features, integrations, and compliance to determine the best fit for your use case.

The learning curve for Databricks varies depending on your experience level and use case complexity. Video tutorials offer visual guidance that accelerates the onboarding process. Comprehensive API documentation supports developers who need to integrate the tool programmatically. Most users report becoming productive within a few days depending on their background. Databricks balances powerful capabilities with intuitive interfaces to minimize the time from signup to value delivery.

Databricks was most recently updated in January 2026, demonstrating active ongoing development. Databricks maintains a development roadmap informed by user feedback and market trends. Regular updates typically include performance optimizations, bug fixes, security patches, and new capabilities that expand the tool's functionality. This frequent update cadence ensures the platform stays current with rapidly evolving AI technologies.

Databricks provides multiple support channels to help users succeed. Comprehensive API documentation covers technical integration details, code examples, and troubleshooting guides. Privacy policy documentation explains data handling practices and compliance measures. Video tutorials demonstrate features visually for different learning preferences. Databricks typically offers additional support through email, chat, or ticketing systems depending on your plan. The combination of self-service resources and direct support channels ensures you can resolve issues quickly and maximize your investment in the platform.

When evaluating Databricks for long-term use, consider several indicators: Development by Databricks provides organizational backing and accountability. Strong community support (103+ favorites) signals healthy user adoption. High user satisfaction ratings suggest the platform delivers on its promises. Recent updates demonstrate active maintenance and feature development. Consider your specific requirements, budget constraints, and risk tolerance when making long-term platform commitments.