What is Databricks and what does it do?
Databricks is The Data and AI Company. Databricks is a data and AI company that provides the Data Intelligence Platform, built on an open lakehouse architecture for unified analytics, governance, and AI. Their platform democratizes data insights across organizations, enabling technical and non-technical users to discover, use, and operationalize data and AI through automation and natural language. Founded in 2013 by the creators of Apache Spark™, Delta Lake, and MLflow, Databricks is trusted by over 15,000 organizations globally, including more than 60% of the Fortune 500, to simplify and accelerate data and AI innovation. Available on Web App, Desktop App, Mobile App and 2 more platforms, Databricks is designed to enhance productivity and deliver professional-grade data analytics capabilities.
How much does Databricks cost?
Databricks offers Free, Pay-per-Use, Contact for Pricing, Enterprise pricing options. Databricks pricing is primarily pay-per-use, metered in Databricks Units (DBUs), which vary by cloud provider, compute type, region, and product tier (Standard, Premium, Enterprise). Standard is being... You can start with a free tier to test the platform before committing to a paid plan. For the most current pricing details and plan comparisons, visit the official Databricks pricing page or contact their sales team for custom enterprise quotes.
Is Databricks secure and compliant with data privacy regulations?
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.
What platforms does Databricks support?
Databricks is available on Web App, Desktop App, Mobile App, CLI Tool, API. The web application provides full functionality directly in your browser without requiring downloads. Mobile apps enable you to work on-the-go with synchronized data across devices. 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.
How can I try Databricks before purchasing?
A free plan is available with core functionality, perfect for individual users or small projects. Testing the platform before committing ensures it meets your specific requirements and integrates smoothly with your existing workflows. Support for Python, Scala, R, SQL makes it accessible to global users.
What file formats does Databricks support?
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.
Who develops and maintains Databricks?
Databricks is developed and maintained by Databricks, based in United States. Most recently updated in September 2025, 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.
How do I get access to Databricks?
Databricks is requires user registration and authentication for access. Create an account through the official website to begin your onboarding process.
How is usage measured and billed in Databricks?
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.
What deployment options does Databricks offer?
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.
Who is Databricks best suited for?
Databricks is primarily designed for Software Developers, Scientists, Business Executives and Entrepreneurs. 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.
Are there video tutorials available for Databricks?
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.
Does Databricks offer APIs or SDKs?
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.
Does Databricks receive regular updates?
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.
What do users say about Databricks?
Databricks has received 1 user review 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 upvotes 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.
Is the information about Databricks up-to-date and verified?
Yes, Databricks's listing was last verified within the past quarter by our editorial team. We regularly review and update tool information to maintain accuracy. 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.
How does Databricks compare to other Data Analytics tools?
Databricks distinguishes itself in the Data Analytics category through accessible pricing options that lower the barrier to entry. Multi-platform support across 5 platforms provides flexibility that single-platform alternatives lack. When evaluating options, consider your specific requirements around pricing, features, integrations, and compliance to determine the best fit for your use case.
How difficult is it to learn Databricks?
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.
How often is Databricks updated with new features?
Databricks was most recently updated in September 2025, indicating regular maintenance and improvements. 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. Users can expect continued improvements as the product matures.
What support resources are available for Databricks?
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.
Is Databricks a reliable long-term choice?
When evaluating Databricks for long-term use, consider several indicators: Development by Databricks provides organizational backing and accountability. Strong community support (103+ upvotes) 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.
