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. This feature was mentioned in 136 Databricks Data Intelligence Platform reviews.

As reported in 136 Databricks Data Intelligence Platform reviews. Ability to (re)structure data in a manner that allows extracting insights fast and accurate.

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.

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.

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

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

Based on 182 Databricks Data Intelligence Platform reviews. Provides users with pre-built algorithms for simpler model development

Supplies large data sets for training individual models 184 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

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.

Offers image recognition services 171 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

As reported in 176 Databricks Data Intelligence Platform reviews. Offers natural language processing services

Based on 168 Databricks Data Intelligence Platform reviews. Offers natural language generation services

Based on 170 Databricks Data Intelligence Platform reviews. Offers artificial neural networks for users

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

Provides deep learning capabilities This feature was mentioned in 158 Databricks Data Intelligence Platform reviews.

Based on 174 Databricks Data Intelligence Platform reviews. Manages the intelligent application for the user, reducing the need of infrastructure

Allows users to insert machine learning into operating applications 177 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

As reported in 181 Databricks Data Intelligence Platform reviews. Provides easily scaled machine learning applications and infrastructure

As reported in 63 Databricks Data Intelligence Platform reviews. Allows users to input models built in a variety of languages.

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

As reported in 64 Databricks Data Intelligence Platform reviews. Records versioning as models are iterated upon.

Provides a way to quickly and efficiently deploy machine learning models. 64 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

As reported in 64 Databricks Data Intelligence Platform reviews. Offers a way to scale the use of machine learning models across an enterprise.

Based on 152 Databricks Data Intelligence Platform reviews and verified by the G2 Product R&D team. Provides On-Premise deployment options.

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).

Based on 61 Databricks Data Intelligence Platform reviews. Allows users to input models built in a variety of languages.

As reported in 62 Databricks Data Intelligence Platform reviews. Allows users to choose the framework or workbench of their preference.

As reported in 65 Databricks Data Intelligence Platform reviews. Records versioning as models are iterated upon.

Based on 64 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 64 Databricks Data Intelligence Platform reviews.

Based on 218 Databricks Data Intelligence Platform reviews. Collects, stores, and organizes massive, unstructured data in real time

Based on 224 Databricks Data Intelligence Platform reviews. Facilitates the disseminating of collected big data throughout parallel computing clusters

Based on 225 Databricks Data Intelligence Platform reviews. Creates a repository to collect and store raw data from sensors, devices, machines, files, etc.

Aligns processing and distribution workflows on top of Apache Hadoop 207 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

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

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.

Curates collected data for big data analytics solutions to analyze, manipulate, and model This feature was mentioned in 223 Databricks Data Intelligence Platform reviews.

Aligns processing and distribution workflows on top of Apache Hadoop This feature was mentioned in 227 Databricks Data Intelligence Platform reviews.

Based on 219 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 218 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 219 Databricks Data Intelligence Platform reviews. Facilitates analysis of high-volume, real-time data.

Based on 226 Databricks Data Intelligence Platform reviews. Allows user to query data through query languages like SQL.

Aligns processing and distribution workflows on top of Apache Hadoop 202 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Aligns processing and distribution workflows on top of Apache Spark This feature was mentioned in 225 Databricks Data Intelligence Platform reviews.

As reported in 217 Databricks Data Intelligence Platform reviews. Integrates data from multiple external databases.

Facilitates the dissemination of collected big data throughout parallel computing clusters. 225 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 223 Databricks Data Intelligence Platform reviews. Processes data and represents interpretations in a variety of graphic formats.

Strings together specific functions and datasets to automate analytics iterations. This feature was mentioned in 218 Databricks Data Intelligence Platform reviews.

Based on 207 Databricks Data Intelligence Platform reviews. Isolates certain datasets and facilitates management of data access.

Based on 205 Databricks Data Intelligence Platform reviews. Allows big data tool to run and record data within external applications.

Based on 220 Databricks Data Intelligence Platform reviews. Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations

Based on 61 Databricks Data Intelligence Platform reviews. Control model usage and performance in production

Deploy mission-critical ML applications where and when you need them This feature was mentioned in 60 Databricks Data Intelligence Platform reviews.

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.

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.

Analyzes data to find and recommend the highest value customer segmentations. 89 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 90 Databricks Data Intelligence Platform reviews.

Based on 91 Databricks Data Intelligence Platform reviews. Presents information and analytics in a digestible, intuitive, and visually appealing way.

Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards. This feature was mentioned in 90 Databricks Data Intelligence Platform reviews.

Provides guidelines or training related to sensitive data compliance requirements, This feature was mentioned in 89 Databricks Data Intelligence Platform reviews.

Allows administrators to set policies for security and data governance 88 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Monitors data quality and send alerts based on violations or misuse 88 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

As reported in 90 Databricks Data Intelligence Platform reviews. Curates collected data for big data analytics solutions to analyze, manipulate, and model

As reported in 89 Databricks Data Intelligence Platform reviews. Facilitates the disseminating of collected big data throughout parallel computing clusters

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.

Based on 167 Databricks Data Intelligence Platform reviews. View ETL process data via reports and visualizations like charts and graphs.

As reported in 161 Databricks Data Intelligence Platform reviews. Record ETL historical data for auditing and potential data correction needs.

Based on 61 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. This feature was mentioned in 63 Databricks Data Intelligence Platform reviews.

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

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.

As reported in 84 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. This feature was mentioned in 83 Databricks Data Intelligence Platform reviews.

Monitors and cleanses data with the help of business rules and analytical algorithms. This feature was mentioned in 83 Databricks Data Intelligence Platform reviews.

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.

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.

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.

Tracks the performance and accuracy of machine learning models. 59 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

As reported in 58 Databricks Data Intelligence Platform reviews. Provisions users based on authorization to both deploy and iterate upon machine learning models.

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.

Based on 169 Databricks Data Intelligence Platform reviews. Cleanse and re-format extracted data to the needed target format.

Based on 170 Databricks Data Intelligence Platform reviews. Load reformatted data into target database, data warehouse, or other storage location.

Based on 162 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. 164 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

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.

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 177 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 177 Databricks Data Intelligence Platform reviews and verified by the G2 Product R&D team. Helps save storage capacity and improves query performance.

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.

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.

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.

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

As reported in 66 Databricks Data Intelligence Platform reviews. Integrates data and data-related technologies into a single environment.

Provides metadata management capabilities. This feature was mentioned in 65 Databricks Data Intelligence Platform reviews.

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.

Completely automates end-to-end data workflows across the data integration lifecycle. This feature was mentioned in 63 Databricks Data Intelligence Platform reviews.

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.

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.

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.

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.

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.

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

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.

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.

Helps adhere to data privacy regulations and norms. This feature was mentioned in 82 Databricks Data Intelligence Platform reviews.

Defines, validates, and monitors business rules to safeguard master data readiness. This feature was mentioned in 81 Databricks Data Intelligence Platform reviews.

As reported in 80 Databricks Data Intelligence Platform reviews. Allows users to create and review data policies to make them consistent across the organization.

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.

Collect and displays metrics across the data integration via a dashboard. This feature was mentioned in 63 Databricks Data Intelligence Platform reviews.

As reported in 64 Databricks Data Intelligence Platform reviews. Involved solely in monitoring data pipelines, sending alerts and troubleshooting data.

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.

Based on 60 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. This feature was mentioned in 61 Databricks Data Intelligence Platform reviews.

Allows users to generate text based on a text prompt. This feature was mentioned in 27 Databricks Data Intelligence Platform reviews.

As reported in 27 Databricks Data Intelligence Platform reviews. Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Based on 79 Databricks Data Intelligence Platform reviews. Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary. 78 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

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

Condenses long documents or text into a brief summary. 86 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

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

Based on 75 Databricks Data Intelligence Platform reviews. Allows users to generate text based on a text prompt.

Based on 74 Databricks Data Intelligence Platform reviews. Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt. 35 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 35 Databricks Data Intelligence Platform reviews. Condenses long documents or text into a brief summary.

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

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