Databricks Data Intelligence Platform Features

Reports interface for standard and self-service reports is intuitive and easy to use.

Requires a minimal number of steps/clicks to answer business question.

Offers a variety of attractive graph and chart formats.

Score cards visually track KPI's.

Provides business users an interface to easily design, refine and collaborate on their dashboards

Using formulas based on existing data elements, users can create and calculate new field values.

Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Users can drill down and explore data to discover new insights.

Ability to search global data set to find and discover data.

Ability for users to share data and reports they have built within the BI tool and outside the tool through other collaboration platforms.

Tool automatically suggests data types, schemas and hierarchies.

Analyze current and historical trends to make predictions about future events.

Communicate complex information clearly and effectively through advanced graphical techniques.

Ability to handle large, complex, and/or siloed data sets.

Converts data formats of source data into the format required for the reporting system without mistakes. 136 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Ability to (re)structure data in a manner that allows extracting insights fast and accurate. 137 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get) 122 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

As reported in 136 Databricks Data Intelligence Platform reviews. 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.

Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript This feature was mentioned in 180 Databricks Data Intelligence Platform reviews.

As reported in 186 Databricks Data Intelligence Platform reviews. Offers the ability for developers to drag and drop pieces of code or algorithms when building models

As reported in 183 Databricks Data Intelligence Platform reviews. Provides users with pre-built algorithms for simpler model development

As reported in 185 Databricks Data Intelligence Platform reviews. Supplies large data sets for training individual models

As reported in 171 Databricks Data Intelligence Platform reviews. Transforms raw data into features that better represent the underlying problem to the predictive models

Offers image recognition services 172 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Offers natural language processing services This feature was mentioned in 177 Databricks Data Intelligence Platform reviews.

As reported in 168 Databricks Data Intelligence Platform reviews. Offers natural language generation services

Offers artificial neural networks for users 171 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 156 Databricks Data Intelligence Platform reviews. Offers natural language understanding services

As reported in 159 Databricks Data Intelligence Platform reviews. Provides deep learning capabilities

Based on 175 Databricks Data Intelligence Platform reviews. Manages the intelligent application for the user, reducing the need of infrastructure

As reported in 178 Databricks Data Intelligence Platform reviews. Allows users to insert machine learning into operating applications

Based on 182 Databricks Data Intelligence Platform reviews. Provides easily scaled machine learning applications and infrastructure

Allows users to input models built in a variety of languages. This feature was mentioned in 64 Databricks Data Intelligence Platform reviews.

Allows users to choose the framework or workbench of their preference. 64 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 64 Databricks Data Intelligence Platform reviews. Records versioning as models are iterated upon.

Provides a way to quickly and efficiently deploy machine learning models. 65 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

As reported in 66 Databricks Data Intelligence Platform reviews. Offers a way to scale the use of machine learning models across an enterprise.

Based on 154 Databricks Data Intelligence Platform reviews and verified by the G2 Product R&D team. Provides On-Premise deployment options.

Based on 175 Databricks Data Intelligence Platform reviews and verified by the G2 Product R&D team. Provides Cloud deployment options (private or public cloud, hybrid cloud).

Allows users to input models built in a variety of languages. 61 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 62 Databricks Data Intelligence Platform reviews. Allows users to choose the framework or workbench of their preference.

Records versioning as models are iterated upon. This feature was mentioned in 66 Databricks Data Intelligence Platform reviews.

As reported in 65 Databricks Data Intelligence Platform reviews. Provides a way to quickly and efficiently deploy machine learning models.

Offers a way to scale the use of machine learning models across an enterprise. This feature was mentioned in 66 Databricks Data Intelligence Platform reviews.

As reported in 222 Databricks Data Intelligence Platform reviews. Collects, stores, and organizes massive, unstructured data in real time

Facilitates the disseminating of collected big data throughout parallel computing clusters 228 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Creates a repository to collect and store raw data from sensors, devices, machines, files, etc. 231 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

As reported in 212 Databricks Data Intelligence Platform reviews. Aligns processing and distribution workflows on top of Apache Hadoop

Aligns processing and distribution workflows on top of Apache Hadoop This feature was mentioned in 233 Databricks Data Intelligence Platform reviews.

Facilitates solution to run on and scale to a large number of machines and systems 225 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

As reported in 229 Databricks Data Intelligence Platform reviews. Curates collected data for big data analytics solutions to analyze, manipulate, and model

Aligns processing and distribution workflows on top of Apache Hadoop This feature was mentioned in 233 Databricks Data Intelligence Platform reviews.

Based on 225 Databricks Data Intelligence Platform reviews. Moves big data collection and processing to the cloud

Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems This feature was mentioned in 223 Databricks Data Intelligence Platform reviews.

Based on 221 Databricks Data Intelligence Platform reviews. Facilitates analysis of high-volume, real-time data.

Allows user to query data through query languages like SQL. 228 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 204 Databricks Data Intelligence Platform reviews. Aligns processing and distribution workflows on top of Apache Hadoop

Based on 227 Databricks Data Intelligence Platform reviews. Aligns processing and distribution workflows on top of Apache Spark

Integrates data from multiple external databases. This feature was mentioned in 218 Databricks Data Intelligence Platform reviews.

Facilitates the dissemination of collected big data throughout parallel computing clusters. 226 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

As reported in 224 Databricks Data Intelligence Platform reviews. Processes data and represents interpretations in a variety of graphic formats.

Based on 219 Databricks Data Intelligence Platform reviews. Strings together specific functions and datasets to automate analytics iterations.

As reported in 209 Databricks Data Intelligence Platform reviews. Isolates certain datasets and facilitates management of data access.

As reported in 207 Databricks Data Intelligence Platform reviews. Allows big data tool to run and record data within external applications.

Based on 222 Databricks Data Intelligence Platform reviews. Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations

Control model usage and performance in production This feature was mentioned in 62 Databricks Data Intelligence Platform reviews.

As reported in 61 Databricks Data Intelligence Platform reviews. Deploy mission-critical ML applications where and when you need them

Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance. This feature was mentioned in 62 Databricks Data Intelligence Platform reviews.

As reported in 94 Databricks Data Intelligence Platform reviews. Tools to (re)structure data in a manner that allows extracting insights quickly and accurately

Analyzes data to find and recommend the highest value customer segmentations. 91 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Tools to create and adjust workflows to ensure consistency. This feature was mentioned in 92 Databricks Data Intelligence Platform reviews.

Presents information and analytics in a digestible, intuitive, and visually appealing way. 94 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

As reported in 93 Databricks Data Intelligence Platform reviews. Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards.

Provides guidelines or training related to sensitive data compliance requirements, This feature was mentioned in 91 Databricks Data Intelligence Platform reviews.

As reported in 90 Databricks Data Intelligence Platform reviews. Allows administrators to set policies for security and data governance

Monitors data quality and send alerts based on violations or misuse 91 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Curates collected data for big data analytics solutions to analyze, manipulate, and model 92 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Facilitates the disseminating of collected big data throughout parallel computing clusters This feature was mentioned in 91 Databricks Data Intelligence Platform reviews.

Compile data from across all systems so that users can view relevant information easily. This feature was mentioned in 89 Databricks Data Intelligence Platform reviews.

As reported in 169 Databricks Data Intelligence Platform reviews. View ETL process data via reports and visualizations like charts and graphs.

Based on 163 Databricks Data Intelligence Platform reviews. Record ETL historical data for auditing and potential data correction needs.

As reported in 62 Databricks Data Intelligence Platform reviews. Records and organizes all machine learning models that have been deployed across the business.

Tracks the performance and accuracy of machine learning models. 63 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 59 Databricks Data Intelligence Platform reviews. Provisions users based on authorization to both deploy and iterate upon machine learning models.

Based on 67 Databricks Data Intelligence Platform reviews. Allows users to manage model artifacts and tracks which models are deployed in production.

Based on 85 Databricks Data Intelligence Platform reviews. Lets users build a glossary of business terms, vocabulary and definitions across multiple tools.

Provides a built-in integrated data catalog that allows users to easily locate data across multiple sources. 84 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

As reported in 85 Databricks Data Intelligence Platform reviews. Monitors and cleanses data with the help of business rules and analytical algorithms.

Visualize data flows and lineage that demonstrates compliance with reports and dashboards through a single console. 84 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Provides an automated data lineage functionality which provides visibility over the entire data movement journey from data origination to destination. 83 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Records and organizes all machine learning models that have been deployed across the business. This feature was mentioned in 60 Databricks Data Intelligence Platform reviews.

Based on 60 Databricks Data Intelligence Platform reviews. Tracks the performance and accuracy of machine learning models.

Provisions users based on authorization to both deploy and iterate upon machine learning models. 59 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 170 Databricks Data Intelligence Platform reviews. Extract data from the designated source(s) like relational databases, JSON files, and XML files.

Cleanse and re-format extracted data to the needed target format. 170 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

As reported in 171 Databricks Data Intelligence Platform reviews. Load reformatted data into target database, data warehouse, or other storage location.

Based on 163 Databricks Data Intelligence Platform reviews. Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly).

Capable of scaling processing power up or down based on ETL volume. This feature was mentioned in 165 Databricks Data Intelligence Platform reviews.

Based on 175 Databricks Data Intelligence Platform reviews. Gives user ability to import a variety of data sources for immediate use

Ability to connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications.

Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data

Using formulas based on existing data elements, users can create and calculate new field values

Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Allows the user to combine data from multiple sources into a functioning dataset.

Based on 180 Databricks Data Intelligence Platform reviews and verified by the G2 Product R&D team. Consolidates, Cleanses and Normalizes data from multiple disparate sources.

Based on 179 Databricks Data Intelligence Platform reviews and verified by the G2 Product R&D team. Helps save storage capacity and improves query performance.

Based on 173 Databricks Data Intelligence Platform reviews and verified by the G2 Product R&D team. Eliminates data inconsistency and duplications ensuring data integrity.

Based on 178 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.

Based on 167 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.

Based on 169 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

Integrates data and data-related technologies into a single environment. This feature was mentioned in 66 Databricks Data Intelligence Platform reviews.

Based on 66 Databricks Data Intelligence Platform reviews. Provides metadata management capabilities.

As reported in 67 Databricks Data Intelligence Platform reviews. Empowers the user via a self-service capability to manage data workflows.

Completely automates end-to-end data workflows across the data integration lifecycle. 65 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 166 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.

Based on 165 Databricks Data Intelligence Platform reviews and verified by the G2 Product R&D team. Integrates with BI Tools to transform data into Actionable Insights.

Based on 172 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.

Based on 175 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.

Based on 165 Databricks Data Intelligence Platform reviews and verified by the G2 Product R&D team. Policies, procedures and standards to manage and access data.

Based on 166 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

Based on 82 Databricks Data Intelligence Platform reviews. Authenticates and authorizes individuals to access the data they are allowed to see and use.

Helps identify and manage the roles of owners and stewards of data. 83 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Helps adhere to data privacy regulations and norms. This feature was mentioned in 84 Databricks Data Intelligence Platform reviews.

Based on 82 Databricks Data Intelligence Platform reviews. Defines, validates, and monitors business rules to safeguard master data readiness.

Allows users to create and review data policies to make them consistent across the organization. 81 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 65 Databricks Data Intelligence Platform reviews. Provides a high performance, flexibile analytics platform to support data management and embrace data driven decision making.

As reported in 64 Databricks Data Intelligence Platform reviews. Collect and displays metrics across the data integration via a dashboard.

Involved solely in monitoring data pipelines, sending alerts and troubleshooting data. 66 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

As reported in 66 Databricks Data Intelligence Platform reviews. Deploys testing capabilities such as report testing, big data testing, cloud data migration testing, ETL and data warehouse testing.

Based on 61 Databricks Data Intelligence Platform reviews. Supports analytical platforms and data pipelines across complex hybrid environments.

Supports migration of component or pipeline to different cloud environments. 62 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Allows users to generate text based on a text prompt. This feature was mentioned in 28 Databricks Data Intelligence Platform reviews.

Condenses long documents or text into a brief summary. 28 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt. This feature was mentioned in 80 Databricks Data Intelligence Platform reviews.

Based on 79 Databricks Data Intelligence Platform reviews. Condenses long documents or text into a brief summary.

Based on 86 Databricks Data Intelligence Platform reviews. Allows users to generate text based on a text prompt.

As reported in 86 Databricks Data Intelligence Platform reviews. Condenses long documents or text into a brief summary.

Provides the ability to generate images from a text prompt. 85 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

As reported in 76 Databricks Data Intelligence Platform reviews. Allows users to generate text based on a text prompt.

As reported in 75 Databricks Data Intelligence Platform reviews. Condenses long documents or text into a brief summary.

As reported in 35 Databricks Data Intelligence Platform reviews. Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary. 35 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Based on 11 Databricks Data Intelligence Platform reviews. Works across multiple software systems or databases

As reported in 10 Databricks Data Intelligence Platform reviews. Improves performance based on feedback and experience

Engages in human-like conversation for task delegation 10 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

As reported in 10 Databricks Data Intelligence Platform reviews. Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces

Enables automated report generation and scheduled delivery to stakeholders

Allows dashboards and analytics to be embedded into external apps with branding flexibility

Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications

Efficiently processes large datasets with minimal lag and ensures high performance under load

Maintains performance and uptime during high traffic from multiple users or teams

Supports semantic data layers, role-based access controls, and metadata governance

Integrates with Jupyter, Python, or R for custom analytics and modeling

Provides native tools for statistical analysis, forecasting, and trend prediction

Uses AI to generate textual summaries, key takeaways, and data stories from dashboards

Allows users to query data and build reports using conversational or plain language

Detects and notifies users about KPI anomalies or significant metric changes in real time

Recommends next questions, analyses, or exploration paths using autonomous AI agents

Learns from historical user interactions to improve and personalize query results over time

Tailors dashboard views and suggestions based on user roles, access levels, and past behavior

Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying