Databricks Data Intelligence Platform Features
Reports (5)
Reports Interface
Reports interface for standard and self-service reports is intuitive and easy to use.
Steps to Answer
Requires a minimal number of steps/clicks to answer business question.
Graphs and Charts
Offers a variety of attractive graph and chart formats.
Score Cards
Score cards visually track KPI's.
Dashboards
Provides business users an interface to easily design, refine and collaborate on their dashboards
Self Service (6)
Calculated Fields
Using formulas based on existing data elements, users can create and calculate new field values.
Data Column Filtering
Business users have the ability to filter data in a report based on predefined or automodeled parameters.
Data Discovery
Users can drill down and explore data to discover new insights.
Search
Ability to search global data set to find and discover data.
Collaboration / Workflow
Ability for users to share data and reports they have built within the BI tool and outside the tool through other collaboration platforms.
Automodeling
Tool automatically suggests data types, schemas and hierarchies.
Advanced Analytics (3)
Predictive Analytics
Analyze current and historical trends to make predictions about future events.
Data Visualization
Communicate complex information clearly and effectively through advanced graphical techniques.
Big Data Services
Ability to handle large, complex, and/or siloed data sets.
Building Reports (4)
Data Transformation
Converts data formats of source data into the format required for the reporting system without mistakes. This feature was mentioned in 136 Databricks Data Intelligence Platform reviews.
Data Modeling
As reported in 136 Databricks Data Intelligence Platform reviews. Ability to (re)structure data in a manner that allows extracting insights fast and accurate.
WYSIWYG Report Design
Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get) 121 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
Integration APIs
Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc with other software applications. 135 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
Model Development (5)
Language Support
As reported in 179 Databricks Data Intelligence Platform reviews. Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript
Drag and Drop
Based on 185 Databricks Data Intelligence Platform reviews. Offers the ability for developers to drag and drop pieces of code or algorithms when building models
Pre-Built Algorithms
Based on 182 Databricks Data Intelligence Platform reviews. Provides users with pre-built algorithms for simpler model development
Model Training
Supplies large data sets for training individual models 184 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
Feature Engineering
Transforms raw data into features that better represent the underlying problem to the predictive models This feature was mentioned in 171 Databricks Data Intelligence Platform reviews.
Machine/Deep Learning Services (6)
Computer Vision
Offers image recognition services 171 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
Natural Language Processing
As reported in 176 Databricks Data Intelligence Platform reviews. Offers natural language processing services
Natural Language Generation
Based on 168 Databricks Data Intelligence Platform reviews. Offers natural language generation services
Artificial Neural Networks
Based on 170 Databricks Data Intelligence Platform reviews. Offers artificial neural networks for users
Natural Language Understanding
Based on 156 Databricks Data Intelligence Platform reviews. Offers natural language understanding services
Deep Learning
Provides deep learning capabilities This feature was mentioned in 158 Databricks Data Intelligence Platform reviews.
Deployment (15)
Managed Service
Based on 174 Databricks Data Intelligence Platform reviews. Manages the intelligent application for the user, reducing the need of infrastructure
Application
Allows users to insert machine learning into operating applications 177 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
Scalability
As reported in 181 Databricks Data Intelligence Platform reviews. Provides easily scaled machine learning applications and infrastructure
Language Flexibility
As reported in 63 Databricks Data Intelligence Platform reviews. Allows users to input models built in a variety of languages.
Framework Flexibility
Allows users to choose the framework or workbench of their preference. 64 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
Versioning
As reported in 64 Databricks Data Intelligence Platform reviews. Records versioning as models are iterated upon.
Ease of Deployment
Provides a way to quickly and efficiently deploy machine learning models. 64 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
Scalability
As reported in 64 Databricks Data Intelligence Platform reviews. Offers a way to scale the use of machine learning models across an enterprise.
On-Premise
Based on 152 Databricks Data Intelligence Platform reviews and verified by the G2 Product R&D team. Provides On-Premise deployment options.
Cloud
Based on 173 Databricks Data Intelligence Platform reviews and verified by the G2 Product R&D team. Provides Cloud deployment options (private or public cloud, hybrid cloud).
Language Flexibility
Based on 61 Databricks Data Intelligence Platform reviews. Allows users to input models built in a variety of languages.
Framework Flexibility
As reported in 62 Databricks Data Intelligence Platform reviews. Allows users to choose the framework or workbench of their preference.
Versioning
As reported in 65 Databricks Data Intelligence Platform reviews. Records versioning as models are iterated upon.
Ease of Deployment
Based on 64 Databricks Data Intelligence Platform reviews. Provides a way to quickly and efficiently deploy machine learning models.
Scalability
Offers a way to scale the use of machine learning models across an enterprise. This feature was mentioned in 64 Databricks Data Intelligence Platform reviews.
Database (3)
Real-Time Data Collection
Based on 218 Databricks Data Intelligence Platform reviews. Collects, stores, and organizes massive, unstructured data in real time
Data Distribution
Based on 224 Databricks Data Intelligence Platform reviews. Facilitates the disseminating of collected big data throughout parallel computing clusters
Data Lake
Based on 225 Databricks Data Intelligence Platform reviews. Creates a repository to collect and store raw data from sensors, devices, machines, files, etc.
Integrations (2)
Hadoop Integration
Aligns processing and distribution workflows on top of Apache Hadoop 207 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
Spark Integration
Based on 227 Databricks Data Intelligence Platform reviews. Aligns processing and distribution workflows on top of Apache Hadoop
Platform (3)
Machine Scaling
Facilitates solution to run on and scale to a large number of machines and systems This feature was mentioned in 220 Databricks Data Intelligence Platform reviews.
Data Preparation
Curates collected data for big data analytics solutions to analyze, manipulate, and model This feature was mentioned in 223 Databricks Data Intelligence Platform reviews.
Spark Integration
Aligns processing and distribution workflows on top of Apache Hadoop This feature was mentioned in 227 Databricks Data Intelligence Platform reviews.
Processing (2)
Cloud Processing
Based on 219 Databricks Data Intelligence Platform reviews. Moves big data collection and processing to the cloud
Workload Processing
Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems 218 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
Data Transformation (2)
Real-Time Analytics
Based on 219 Databricks Data Intelligence Platform reviews. Facilitates analysis of high-volume, real-time data.
Data Querying
Based on 226 Databricks Data Intelligence Platform reviews. Allows user to query data through query languages like SQL.
Connectivity (4)
Hadoop Integration
Aligns processing and distribution workflows on top of Apache Hadoop 202 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
Spark Integration
Aligns processing and distribution workflows on top of Apache Spark This feature was mentioned in 225 Databricks Data Intelligence Platform reviews.
Multi-Source Analysis
As reported in 217 Databricks Data Intelligence Platform reviews. Integrates data from multiple external databases.
Data Lake
Facilitates the dissemination of collected big data throughout parallel computing clusters. 225 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
Operations (8)
Data Visualization
Based on 223 Databricks Data Intelligence Platform reviews. Processes data and represents interpretations in a variety of graphic formats.
Data Workflow
Strings together specific functions and datasets to automate analytics iterations. This feature was mentioned in 218 Databricks Data Intelligence Platform reviews.
Governed Discovery
Based on 207 Databricks Data Intelligence Platform reviews. Isolates certain datasets and facilitates management of data access.
Embedded Analytics
Based on 205 Databricks Data Intelligence Platform reviews. Allows big data tool to run and record data within external applications.
Notebooks
Based on 220 Databricks Data Intelligence Platform reviews. Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations
Metrics
Based on 61 Databricks Data Intelligence Platform reviews. Control model usage and performance in production
Infrastructure management
Deploy mission-critical ML applications where and when you need them This feature was mentioned in 60 Databricks Data Intelligence Platform reviews.
Collaboration
Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance. 61 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
Administration (4)
Data Modelling
Tools to (re)structure data in a manner that allows extracting insights quickly and accurately This feature was mentioned in 92 Databricks Data Intelligence Platform reviews.
Recommendations
Analyzes data to find and recommend the highest value customer segmentations. 89 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
Workflow Management
Tools to create and adjust workflows to ensure consistency. This feature was mentioned in 90 Databricks Data Intelligence Platform reviews.
Dashboards and Visualizations
Based on 91 Databricks Data Intelligence Platform reviews. Presents information and analytics in a digestible, intuitive, and visually appealing way.
Compliance (4)
Sensitive Data Compliance
Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards. This feature was mentioned in 90 Databricks Data Intelligence Platform reviews.
Training and Guidelines
Provides guidelines or training related to sensitive data compliance requirements, This feature was mentioned in 89 Databricks Data Intelligence Platform reviews.
Policy Enforcement
Allows administrators to set policies for security and data governance 88 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
Compliance Monitoring
Monitors data quality and send alerts based on violations or misuse 88 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
Data Quality (3)
Data Preparation
As reported in 90 Databricks Data Intelligence Platform reviews. Curates collected data for big data analytics solutions to analyze, manipulate, and model
Data Distribution
As reported in 89 Databricks Data Intelligence Platform reviews. Facilitates the disseminating of collected big data throughout parallel computing clusters
Data Unification
Compile data from across all systems so that users can view relevant information easily. 87 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
Management (14)
Reporting
Based on 167 Databricks Data Intelligence Platform reviews. View ETL process data via reports and visualizations like charts and graphs.
Auditing
As reported in 161 Databricks Data Intelligence Platform reviews. Record ETL historical data for auditing and potential data correction needs.
Cataloging
Based on 61 Databricks Data Intelligence Platform reviews. Records and organizes all machine learning models that have been deployed across the business.
Monitoring
Tracks the performance and accuracy of machine learning models. This feature was mentioned in 63 Databricks Data Intelligence Platform reviews.
Governing
As reported in 59 Databricks Data Intelligence Platform reviews. Provisions users based on authorization to both deploy and iterate upon machine learning models.
Model Registry
Allows users to manage model artifacts and tracks which models are deployed in production. 67 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
Business Glossary
As reported in 84 Databricks Data Intelligence Platform reviews. Lets users build a glossary of business terms, vocabulary and definitions across multiple tools.
Data Discovery
Provides a built-in integrated data catalog that allows users to easily locate data across multiple sources. This feature was mentioned in 83 Databricks Data Intelligence Platform reviews.
Data Profililng
Monitors and cleanses data with the help of business rules and analytical algorithms. This feature was mentioned in 83 Databricks Data Intelligence Platform reviews.
Reporting and Visualization
Visualize data flows and lineage that demonstrates compliance with reports and dashboards through a single console. This feature was mentioned in 82 Databricks Data Intelligence Platform reviews.
Data Lineage
As reported in 82 Databricks Data Intelligence Platform reviews. Provides an automated data lineage functionality which provides visibility over the entire data movement journey from data origination to destination.
Cataloging
Records and organizes all machine learning models that have been deployed across the business. 60 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
Monitoring
Tracks the performance and accuracy of machine learning models. 59 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
Governing
As reported in 58 Databricks Data Intelligence Platform reviews. Provisions users based on authorization to both deploy and iterate upon machine learning models.
Functionality (5)
Extraction
Extract data from the designated source(s) like relational databases, JSON files, and XML files. This feature was mentioned in 168 Databricks Data Intelligence Platform reviews.
Transformation
Based on 169 Databricks Data Intelligence Platform reviews. Cleanse and re-format extracted data to the needed target format.
Loading
Based on 170 Databricks Data Intelligence Platform reviews. Load reformatted data into target database, data warehouse, or other storage location.
Automation
Based on 162 Databricks Data Intelligence Platform reviews. Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly).
Scalability
Capable of scaling processing power up or down based on ETL volume. 164 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
System (1)
Data Ingestion & Wrangling
Gives user ability to import a variety of data sources for immediate use 175 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
Data Preparation (2)
Connectors
Ability to connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications.
Data Governance
Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data
Data Modeling and Blending (3)
Data Querying
Using formulas based on existing data elements, users can create and calculate new field values
Data Filtering
Business users have the ability to filter data in a report based on predefined or automodeled parameters.
Data Blending
Allows the user to combine data from multiple sources into a functioning dataset.
Data Management (10)
Data Integration
Based on 177 Databricks Data Intelligence Platform reviews and verified by the G2 Product R&D team. Consolidates, Cleanses and Normalizes data from multiple disparate sources.
Data Compression
Based on 177 Databricks Data Intelligence Platform reviews and verified by the G2 Product R&D team. Helps save storage capacity and improves query performance.
Data Quality
Based on 172 Databricks Data Intelligence Platform reviews and verified by the G2 Product R&D team. Eliminates data inconsistency and duplications ensuring data integrity.
Built-In Data Analytics
Based on 175 Databricks Data Intelligence Platform reviews and verified by the G2 Product R&D team. SQL based analytics functions like Time series, pattern matching, geospatial analytics etc.
In-Database Machine Learning
Based on 165 Databricks Data Intelligence Platform reviews and verified by the G2 Product R&D team. Provides built in capabilities like machine learning algorithms, data preparation functions, model evaluation and management etc.
Data Lake Analytics
Based on 167 Databricks Data Intelligence Platform reviews and verified by the G2 Product R&D team. Allows data querying across data formats like parquet, ORC, JSON etc and analyze complex data types on HDFS
Data Integration
As reported in 66 Databricks Data Intelligence Platform reviews. Integrates data and data-related technologies into a single environment.
Metadata
Provides metadata management capabilities. This feature was mentioned in 65 Databricks Data Intelligence Platform reviews.
Self-service
Empowers the user via a self-service capability to manage data workflows. 66 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
Automated workflows
Completely automates end-to-end data workflows across the data integration lifecycle. This feature was mentioned in 63 Databricks Data Intelligence Platform reviews.
Integration (3)
AI/ ML Integration
Based on 163 Databricks Data Intelligence Platform reviews and verified by the G2 Product R&D team. Integrates with data science workflows, Machine Learning and artificial intelligence (AI) capabilities.
BI Tool Integration
Based on 163 Databricks Data Intelligence Platform reviews and verified by the G2 Product R&D team. Integrates with BI Tools to transform data into Actionable Insights.
Data lake Integration
Based on 171 Databricks Data Intelligence Platform reviews and verified by the G2 Product R&D team. Provides speed in data processing and capturing unstructured, semi-structured and streaming data.
Performance (1)
Scalability
Based on 173 Databricks Data Intelligence Platform reviews and verified by the G2 Product R&D team. Manages huge volumes of data, upscale or downscale as per demand.
Security (5)
Data Governance
Based on 164 Databricks Data Intelligence Platform reviews and verified by the G2 Product R&D team. Policies, procedures and standards to manage and access data.
Data Security
Based on 165 Databricks Data Intelligence Platform reviews and verified by the G2 Product R&D team. Restricts data access at a cell level, mask or hide parts of cells, and encrypt data at rest and in motion
Access Control
Authenticates and authorizes individuals to access the data they are allowed to see and use. 80 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
Roles Management
Helps identify and manage the roles of owners and stewards of data. 82 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
Compliance Management
Helps adhere to data privacy regulations and norms. This feature was mentioned in 82 Databricks Data Intelligence Platform reviews.
Maintainence (2)
Data Quality Management
Defines, validates, and monitors business rules to safeguard master data readiness. This feature was mentioned in 81 Databricks Data Intelligence Platform reviews.
Policy Management
As reported in 80 Databricks Data Intelligence Platform reviews. Allows users to create and review data policies to make them consistent across the organization.
Analytics (2)
Analytics capabilities
Provides a high performance, flexibile analytics platform to support data management and embrace data driven decision making. This feature was mentioned in 64 Databricks Data Intelligence Platform reviews.
Dasboard visualizations
Collect and displays metrics across the data integration via a dashboard. This feature was mentioned in 63 Databricks Data Intelligence Platform reviews.
Monitoring and Management (2)
Data Observability
As reported in 64 Databricks Data Intelligence Platform reviews. Involved solely in monitoring data pipelines, sending alerts and troubleshooting data.
Testing capabilities
Deploys testing capabilities such as report testing, big data testing, cloud data migration testing, ETL and data warehouse testing. 64 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
Cloud Deployment (2)
Hybrid cloud support
Based on 60 Databricks Data Intelligence Platform reviews. Supports analytical platforms and data pipelines across complex hybrid environments.
Cloud migration capabilities
Supports migration of component or pipeline to different cloud environments. This feature was mentioned in 61 Databricks Data Intelligence Platform reviews.
Generative AI (13)
AI Text Generation
Allows users to generate text based on a text prompt. This feature was mentioned in 27 Databricks Data Intelligence Platform reviews.
AI Text Summarization
As reported in 27 Databricks Data Intelligence Platform reviews. Condenses long documents or text into a brief summary.
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
AI Text Generation
Based on 79 Databricks Data Intelligence Platform reviews. Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary. 78 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
AI Text Generation
Based on 86 Databricks Data Intelligence Platform reviews. Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary. 86 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
AI Text-to-Image
Provides the ability to generate images from a text prompt. 85 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
AI Text Generation
Based on 75 Databricks Data Intelligence Platform reviews. Allows users to generate text based on a text prompt.
AI Text Summarization
Based on 74 Databricks Data Intelligence Platform reviews. Condenses long documents or text into a brief summary.
AI Text Generation
Allows users to generate text based on a text prompt. 35 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.
AI Text Summarization
Based on 35 Databricks Data Intelligence Platform reviews. Condenses long documents or text into a brief summary.
Agentic AI - Data Governance (6)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - DataOps Platforms (5)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Analytics Platforms (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Data Science and Machine Learning Platforms (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Deployment & Integration - Analytics Platforms (4)
No-code Dashboard Builder
Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces
Report Scheduling and Automation
Enables automated report generation and scheduled delivery to stakeholders
Embedded Analytics and White-labeling
Allows dashboards and analytics to be embedded into external apps with branding flexibility
Data Source Connectivity
Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications
Performance & Scalability - Analytics Platforms (2)
Large data handling and Query Speed
Efficiently processes large datasets with minimal lag and ensures high performance under load
Concurrent User Support
Maintains performance and uptime during high traffic from multiple users or teams
Advanced Analytics & Modeling - Analytics Platforms (3)
Data Modeling and Governance
Supports semantic data layers, role-based access controls, and metadata governance
Notebook and Script Integration
Integrates with Jupyter, Python, or R for custom analytics and modeling
Built-in Predictive and Statistical Models
Provides native tools for statistical analysis, forecasting, and trend prediction
Agentic AI Capabilities - Analytics Platforms (4)
Auto-generated Insights and Narratives
Uses AI to generate textual summaries, key takeaways, and data stories from dashboards
Natural Language Queries
Allows users to query data and build reports using conversational or plain language
Proactive KPI Monitoring and Alerts
Detects and notifies users about KPI anomalies or significant metric changes in real time
AI Agents for Analytical Follow-ups
Recommends next questions, analyses, or exploration paths using autonomous AI agents
Personalized Intelligence - Analytics Platforms (3)
Behavioral Learning for Contextual Query Refinement
Learns from historical user interactions to improve and personalize query results over time
Role-based Insight Personalization
Tailors dashboard views and suggestions based on user roles, access levels, and past behavior
Conversational and Prompt-based Analytics
Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying





