Databricks Assistant
Built-in data engineering and code AI assistant on the Databricks platform
Developer:Databricks, Inc.
Databricks AssistantIntroduction
Databricks Assistant是Databricks, Inc.推出的企业级AI产品，定位为Databricks平台内置的数据工程与代码AI助手。Databricks平台内置的AI助手，覆盖笔记本代码生成与补全、SQL编写辅助、错误解释与数据工程问答等场景，与数据湖仓工作流深度结合，在Databricks工作区中即可调用。适合使用Databricks进行数据开发、分析与机器学习工程的技术团队，由管理员统一开通。随平台订阅提供，具体以官方定价为准。在核心能力方面，覆盖代码生成与补全、SQL编写辅助、错误解释与数据工程问答等环节，可围绕AI 取数、代码智能助手提供相对完整的支撑。适用于金融、零售、制造、互联网科技等行业客户，支持公有云 SaaS、私有化部署等方式部署。产品标签包括数据分析、代码生成、企业部署。该产品归属企业级AI的数据分析、开发运维方向，子场景涉及AI 取数、代码智能助手。企业选型时可结合目标流程、数据边界、账号权限与集成范围进行评估，并通过试用确认实际落地效果。本页信息整理自公开资料，具体功能、版本差异与报价以厂商官方说明为准。
Key features of the Databricks Assistant
Key Product Features
- 1Code generation and completion, SQL writing assistance, error explanation, and data engineering Q&A
- 2Generate and explain code using natural language in Notebook and SQL Editor
- 3Automatically correct and optimize SQL, providing fix suggestions
- 4Integrate with Unity Catalog's table, lineage, and permission context
- 5Auxiliary dataset discovery and field understanding
- 6Select from different models (based on the official supported list)
Pricing for Databricks Assistant
Free Tier, Paid Plans, Billing Options, Private Deployment & Enterprise Pricing
- 1Included in Databricks platform usage; billed with compute and serverless resources.
- 2Assistant conversation and generation usage are billed based on platform consumption.
- 3Enterprises may sign a total commitment volume agreement
- 4Actual pricing is subject to Databricks' official pricing page.
How to Use Databricks Assistant
Entry URL, Registration Requirements, Brief Operation Steps, and API / Client Support
Entry Point:www.databricks.com
- 1Entry: Databricks workspace with Assistant enabled by an admin
- 2Configure Unity Catalog and workspace permissions
- 3Start a conversation from the Notebook / SQL editor sidebar
- 4Start with a pilot program within the data team (refer to official documentation for details).
Enterprise Capability Assessment
Information compiled from public sources for selection reference only; does not constitute a rating or ranking conclusion.
- Comprehensive Strength of Product Development Enterprise
- Built by Databricks, a leading global data and AI platform provider. Leveraging the lakehouse ecosystem with a broad base of enterprise data team customers.
- Comprehensive coverage of diverse customer office scenarios
- Supports data R&D scenarios such as code generation, SQL creation, Notebook debugging, and data pipeline development.
- Native integration with business systems
- Natively integrates with Databricks Notebooks, SQL Editor, and Workflows to directly access workspace data and context.
- Pre-built maturity for industry scenarios
- Provide solution accelerator templates. Industry-specific AI template maturity is subject to the official Resource Center.
- Agent Orchestration Capabilities
- Supports building AI agents with the Mosaic AI Agent Framework. Orchestration capabilities are subject to the official documentation.
- Knowledge Base RAG and Long-Text Capabilities
- Generates code enhanced by workspace context and codebase retrieval. Long text capabilities are subject to official documentation.
- Multimodal capabilities
- Text and code are supported for input and output. Support for audio and video modalities has not been publicly announced; refer to the official documentation for details.
- Deployment Options and Delivery Flexibility
- Public cloud SaaS (Databricks platform). On-premise deployment options are subject to official commercial terms.
- Security, Permissions, and Data Isolation
- Inherits Databricks' permission system, data isolation, and audit capabilities. Security features are subject to official documentation.
- Compliance and Xinchuang Qualifications
- Compliance certifications follow Databricks' public framework. No public information is available regarding Xinchuang adaptation; please refer to official business and qualification documentation for details.
- Base Model Capabilities
- Leverages a combination of third-party large models. The platform supports management of both proprietary and open-source models; refer to official disclosures for details.
- Low-code extensibility
- Enables natural language querying with AI/BI Genie. Agents are built on a code framework; low-code scope is subject to official documentation.
- Heterogeneous system integration capabilities
- Connect to enterprise data sources and systems via Delta Sharing, APIs, and Partner Connect.
- Business and Implementation Operations Services
- Built on Databricks Enterprise Support and its partner ecosystem. Specific services are subject to official commercial terms.
- Operational complexity
- SaaS platform model: workspace and cluster management require data team involvement; moderate complexity.
- Total Cost of Ownership (TCO)
- Billing is based on platform resources and feature tiers. Assistant is included in select tiers; refer to official commercial and qualification details for pricing.
- Product Usability
- Assistant embedded in Notebooks and editors for natural language interaction; requires data development basics with moderate learning curve.
- Explainability of AI Output
- Generate code to view and run for verification. Answers may reference workspace context; reasoning is limited.
Evaluate vendor scale, R&D investment, customer base, and ecosystem maturity
Number and depth of office and business scenarios covered
Evaluate native integration with your own or mainstream business systems
Assess the maturity of industry templates, pre-built processes, and best practices.
Evaluate multi-agent orchestration, workflow, and tool invocation capabilities.
Evaluate enterprise knowledge base retrieval enhancement and long document processing capabilities.
Evaluate input and output support for text, images, audio, video, and files.
Support for public cloud, private cloud, on-premises, and hybrid deployment
Evaluate organization accounts, permission systems, data isolation, and audit capabilities.
Review publicly available compliance certifications and Xinchuang compatibility status
Evaluate in-house or switchable model backends and model management capabilities.
Evaluate low-code configuration, plugin, and custom extension capabilities
Integration with third-party and legacy systems (APIs, connectors, etc.)
Evaluate business models, implementation delivery, and operations support services
Evaluate the complexity and human effort required for deployment and daily operations.
Evaluate total cost of ownership across subscriptions, implementation, compute resources, and operations.
Evaluate ease of use, interface friendliness, and training costs
Evaluate whether the output includes source citations, reasoning basis, and verifiable information.
Databricks Assistantselection information
The following enterprise procurement dimensions are publicly available for selection reference. Non-public dimensions are not displayed; actual delivery solutions and quotes are subject to official specifications.
- Industries
- FinanceRetailManufacturingInternet Technology
- Deployment Method
- Public Cloud SaaSOn-premises deployment
- Compliance Certification
- ISO 27001SOC 2 (specific scope subject to official compliance page)
- Integrated Ecosystem
- Unity CatalogDelta LakeApache SparkBI Tool
- Pricing Model
- Pay-as-you-goEnterprise Quote
- Supplier Type
- Original Equipment Manufacturer (OEM)Cloud Providers
- Includes Implementation Services
- Optional Implementation Services
- Enterprise Size
- EnterpriseGroup Enterprise
- Typical Industry Cases
- FinanceRetailManufacturing
- Try it / Request a Quote
- Official Website & Sales ChannelsInquire about trial applications and enterprise pricing