MLOps

Databricks Data Intelligence Platform

A powerful platform for data analysis and machine learning.

★ 4.5 310 reviews G2
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Databricks Data Intelligence Platform screenshot

Overview

Databricks Data Intelligence Platform is designed to help organizations unlock the value of their data. It combines data engineering, data science, and analytics into a single platform. By simplifying the complexities of big data, it enables teams to work better together and make informed decisions quickly.

With its collaborative environment, Databricks allows data professionals to share insights and build workflows seamlessly. It also integrates with various data sources, improving accessibility and enhancing productivity. Users can easily conduct machine learning experiments and produce real-time analytics using the platform's advanced features.

The platform supports a range of programming languages, including Python, SQL, and R, making it versatile for different user preferences. Overall, Databricks is a comprehensive solution for companies looking to harness their data effectively and foster a data-driven culture.

✓ Pros

  • Ease of Use
  • Fast Setup
  • Collaboration
  • Comprehensive Features
  • Continuous Updates

✗ Cons

  • Cost
  • Complex Features
  • Dependency on Cloud
  • Steeper Learning Curve
  • Support Response Time

Key features

Unified Analytics

Combines data engineering and data science to streamline workflows.

Collaborative Notebooks

Team members can work together in interactive notebooks to share ideas and insights.

Real-time Data Processing

Processes data in real-time for immediate insights and quicker decision-making.

Machine Learning Support

Built-in tools for running machine learning experiments to predict outcomes.

Scalability

Easily scales to handle large datasets without performance issues.

Multi-language support

Works with SQL, Python, R, and Scala for flexibility.

Integration with Various Data Sources

Connects easily to different data sources, enhancing data accessibility.

Security and Governance

Provides robust security measures to ensure data safety.

Feature Ratings

Based on real user reviews, here's how users rate different features of this product.

Model Development

Language Support87%

Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript 61 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 61 reviews
Drag and Drop74%

Offers the ability for developers to drag and drop pieces of code or algorithms when building models This feature was mentioned in 68 Databricks Data Intelligence Platform reviews.

Based on 68 reviews
Pre-Built Algorithms80%

As reported in 66 Databricks Data Intelligence Platform reviews. Provides users with pre-built algorithms for simpler model development

Based on 66 reviews
Model Training86%

Based on 68 Databricks Data Intelligence Platform reviews. Supplies large data sets for training individual models

Based on 68 reviews
Pre-Built Algorithms80%

Based on 66 Databricks Data Intelligence Platform reviews. Provides users with pre-built algorithms for simpler model development

Based on 66 reviews
Model Training85%

Supplies large data sets for training individual models 71 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 71 reviews
Feature Engineering86%

As reported in 69 Databricks Data Intelligence Platform reviews. Transforms raw data into features that better represent the underlying problem to the predictive models

Based on 69 reviews

Machine/Deep Learning Services

Computer Vision82%

As reported in 59 Databricks Data Intelligence Platform reviews. Offers image recognition services

Based on 59 reviews
Natural Language Processing84%

Offers natural language processing services This feature was mentioned in 62 Databricks Data Intelligence Platform reviews.

Based on 62 reviews
Natural Language Generation82%

Based on 55 Databricks Data Intelligence Platform reviews. Offers natural language generation services

Based on 55 reviews
Artificial Neural Networks81%

As reported in 59 Databricks Data Intelligence Platform reviews. Offers artificial neural networks for users

Based on 59 reviews
Computer Vision80%

Offers image recognition services 58 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 58 reviews
Natural Language Understanding79%

Based on 59 Databricks Data Intelligence Platform reviews. Offers natural language understanding services

Based on 59 reviews
Natural Language Generation80%

Offers natural language generation services This feature was mentioned in 58 Databricks Data Intelligence Platform reviews.

Based on 58 reviews
Deep Learning81%

Based on 60 Databricks Data Intelligence Platform reviews. Provides deep learning capabilities

Based on 60 reviews

Deployment

Managed Service85%

Manages the intelligent application for the user, reducing the need of infrastructure This feature was mentioned in 63 Databricks Data Intelligence Platform reviews.

Based on 63 reviews
Application87%

Based on 66 Databricks Data Intelligence Platform reviews. Allows users to insert machine learning into operating applications

Based on 66 reviews
Scalability90%

Based on 70 Databricks Data Intelligence Platform reviews. Provides easily scaled machine learning applications and infrastructure

Based on 70 reviews
Language Flexibility87%

Allows users to input models built in a variety of languages. 33 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 33 reviews
Framework Flexibility86%

Allows users to choose the framework or workbench of their preference. This feature was mentioned in 34 Databricks Data Intelligence Platform reviews.

Based on 34 reviews
Versioning86%

As reported in 35 Databricks Data Intelligence Platform reviews. Records versioning as models are iterated upon.

Based on 35 reviews
Ease of Deployment86%

As reported in 35 Databricks Data Intelligence Platform reviews. Provides a way to quickly and efficiently deploy machine learning models.

Based on 35 reviews
Scalability87%

Based on 35 Databricks Data Intelligence Platform reviews. Offers a way to scale the use of machine learning models across an enterprise.

Based on 35 reviews
Managed Service85%

Manages the intelligent application for the user, reducing the need of infrastructure 65 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 65 reviews
Application86%

Allows users to insert machine learning into operating applications 72 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 72 reviews
Scalability88%

Based on 71 Databricks Data Intelligence Platform reviews. Provides easily scaled machine learning applications and infrastructure

Based on 71 reviews
On-Premise74%

Based on 75 Databricks Data Intelligence Platform reviews and verified by the G2 Product R&D team. Provides On-Premise deployment options.

Based on 75 reviews
Cloud90%

Based on 96 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 96 reviews
Language Flexibility85%

Allows users to input models built in a variety of languages. 32 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 32 reviews
Framework Flexibility84%

As reported in 33 Databricks Data Intelligence Platform reviews. Allows users to choose the framework or workbench of their preference.

Based on 33 reviews
Versioning82%

Records versioning as models are iterated upon. This feature was mentioned in 37 Databricks Data Intelligence Platform reviews.

Based on 37 reviews
Ease of Deployment86%

Provides a way to quickly and efficiently deploy machine learning models. 36 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 36 reviews
Scalability89%

Offers a way to scale the use of machine learning models across an enterprise. 36 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 36 reviews

Database

Real-Time Data Collection85%

Based on 99 Databricks Data Intelligence Platform reviews. Collects, stores, and organizes massive, unstructured data in real time

Based on 99 reviews
Data Distribution87%

Facilitates the disseminating of collected big data throughout parallel computing clusters This feature was mentioned in 106 Databricks Data Intelligence Platform reviews.

Based on 106 reviews
Data Lake91%

Creates a repository to collect and store raw data from sensors, devices, machines, files, etc. 106 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 106 reviews

Integrations

Hadoop Integration82%

Aligns processing and distribution workflows on top of Apache Hadoop This feature was mentioned in 92 Databricks Data Intelligence Platform reviews.

Based on 92 reviews
Spark Integration91%

As reported in 108 Databricks Data Intelligence Platform reviews. Aligns processing and distribution workflows on top of Apache Hadoop

Based on 108 reviews

Platform

Machine Scaling88%

As reported in 102 Databricks Data Intelligence Platform reviews. Facilitates solution to run on and scale to a large number of machines and systems

Based on 102 reviews
Data Preparation87%

Curates collected data for big data analytics solutions to analyze, manipulate, and model 106 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 106 reviews
Spark Integration91%

Based on 108 Databricks Data Intelligence Platform reviews. Aligns processing and distribution workflows on top of Apache Hadoop

Based on 108 reviews

Processing

Cloud Processing89%

Moves big data collection and processing to the cloud This feature was mentioned in 105 Databricks Data Intelligence Platform reviews.

Based on 105 reviews
Workload Processing88%

As reported in 105 Databricks Data Intelligence Platform reviews. Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems

Based on 105 reviews

Data Transformation

Real-Time Analytics85%

Facilitates analysis of high-volume, real-time data. 97 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 97 reviews
Data Querying88%

Allows user to query data through query languages like SQL. This feature was mentioned in 105 Databricks Data Intelligence Platform reviews.

Based on 105 reviews

Connectivity

Hadoop Integration85%

Based on 88 Databricks Data Intelligence Platform reviews. Aligns processing and distribution workflows on top of Apache Hadoop

Based on 88 reviews
Spark Integration92%

Based on 105 Databricks Data Intelligence Platform reviews. Aligns processing and distribution workflows on top of Apache Spark

Based on 105 reviews
Multi-Source Analysis89%

Integrates data from multiple external databases. This feature was mentioned in 97 Databricks Data Intelligence Platform reviews.

Based on 97 reviews
Data Lake90%

Based on 105 Databricks Data Intelligence Platform reviews. Facilitates the dissemination of collected big data throughout parallel computing clusters.

Based on 105 reviews

Operations

Data Visualization82%

Processes data and represents interpretations in a variety of graphic formats. This feature was mentioned in 103 Databricks Data Intelligence Platform reviews.

Based on 103 reviews
Data Workflow86%

As reported in 99 Databricks Data Intelligence Platform reviews. Strings together specific functions and datasets to automate analytics iterations.

Based on 99 reviews
Governed Discovery84%

Isolates certain datasets and facilitates management of data access. This feature was mentioned in 86 Databricks Data Intelligence Platform reviews.

Based on 86 reviews
Embedded Analytics83%

Based on 86 Databricks Data Intelligence Platform reviews. Allows big data tool to run and record data within external applications.

Based on 86 reviews
Notebooks93%

As reported in 100 Databricks Data Intelligence Platform reviews. Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations

Based on 100 reviews
Metrics83%

Control model usage and performance in production This feature was mentioned in 33 Databricks Data Intelligence Platform reviews.

Based on 33 reviews
Infrastructure management86%

As reported in 32 Databricks Data Intelligence Platform reviews. Deploy mission-critical ML applications where and when you need them

Based on 32 reviews
Collaboration87%

As reported in 33 Databricks Data Intelligence Platform reviews. Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance.

Based on 33 reviews

Administration

Data Modelling

Tools to (re)structure data in a manner that allows extracting insights quickly and accurately

Recommendations

Analyzes data to find and recommend the highest value customer segmentations.

Workflow Management

Tools to create and adjust workflows to ensure consistency.

Dashboards and Visualizations

Presents information and analytics in a digestible, intuitive, and visually appealing way.

Compliance

Sensitive Data Compliance

Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards.

Training and Guidelines

Provides guidelines or training related to sensitive data compliance requirements,

Policy Enforcement

Allows administrators to set policies for security and data governance

Compliance Monitoring

Monitors data quality and send alerts based on violations or misuse

Data Quality

Data Preparation

Curates collected data for big data analytics solutions to analyze, manipulate, and model

Data Distribution

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.

Management

Reporting81%

View ETL process data via reports and visualizations like charts and graphs. This feature was mentioned in 72 Databricks Data Intelligence Platform reviews.

Based on 72 reviews
Auditing81%

Record ETL historical data for auditing and potential data correction needs. 68 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 68 reviews
Cataloging87%

Records and organizes all machine learning models that have been deployed across the business. 32 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 32 reviews
Monitoring86%

Based on 33 Databricks Data Intelligence Platform reviews. Tracks the performance and accuracy of machine learning models.

Based on 33 reviews
Governing91%

Provisions users based on authorization to both deploy and iterate upon machine learning models. 29 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 29 reviews
Model Registry89%

As reported in 37 Databricks Data Intelligence Platform reviews. Allows users to manage model artifacts and tracks which models are deployed in production.

Based on 37 reviews
Business Glossary

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.

Data Profililng

Monitors and cleanses data with the help of business rules and analytical algorithms.

Reporting and Visualization

Visualize data flows and lineage that demonstrates compliance with reports and dashboards through a single console.

Data Lineage

Provides an automated data lineage functionality which provides visibility over the entire data movement journey from data origination to destination.

Cataloging86%

As reported in 33 Databricks Data Intelligence Platform reviews. Records and organizes all machine learning models that have been deployed across the business.

Based on 33 reviews
Monitoring82%

Tracks the performance and accuracy of machine learning models. This feature was mentioned in 32 Databricks Data Intelligence Platform reviews.

Based on 32 reviews
Governing92%

Based on 30 Databricks Data Intelligence Platform reviews. Provisions users based on authorization to both deploy and iterate upon machine learning models.

Based on 30 reviews

Functionality

Extraction90%

Extract data from the designated source(s) like relational databases, JSON files, and XML files. 75 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 75 reviews
Transformation93%

Cleanse and re-format extracted data to the needed target format. 76 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 76 reviews
Loading91%

Load reformatted data into target database, data warehouse, or other storage location. 77 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 77 reviews
Automation87%

Based on 70 Databricks Data Intelligence Platform reviews. Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly).

Based on 70 reviews
Scalability89%

Capable of scaling processing power up or down based on ETL volume. This feature was mentioned in 73 Databricks Data Intelligence Platform reviews.

Based on 73 reviews

System

Data Ingestion & Wrangling88%

Gives user ability to import a variety of data sources for immediate use This feature was mentioned in 72 Databricks Data Intelligence Platform reviews.

Based on 72 reviews
Language Support85%

As reported in 67 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 67 reviews
Drag and Drop74%

As reported in 68 Databricks Data Intelligence Platform reviews. Offers the ability for developers to drag and drop pieces of code or algorithms when building models

Based on 68 reviews

Data Management

Data Integration91%

Based on 99 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 99 reviews
Data Compression89%

Based on 98 Databricks Data Intelligence Platform reviews and verified by the G2 Product R&D team. Helps save storage capacity and improves query performance.

Based on 98 reviews
Data Quality86%

Based on 94 Databricks Data Intelligence Platform reviews and verified by the G2 Product R&D team. Eliminates data inconsistency and duplications ensuring data integrity.

Based on 94 reviews
Built-In Data Analytics84%

Based on 96 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 96 reviews
In-Database Machine Learning84%

Based on 86 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 86 reviews
Data Lake Analytics89%

Based on 91 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

Based on 91 reviews
Data Integration90%

As reported in 32 Databricks Data Intelligence Platform reviews. Integrates data and data-related technologies into a single environment.

Based on 32 reviews
Metadata82%

Based on 31 Databricks Data Intelligence Platform reviews. Provides metadata management capabilities.

Based on 31 reviews
Self-service84%

As reported in 32 Databricks Data Intelligence Platform reviews. Empowers the user via a self-service capability to manage data workflows.

Based on 32 reviews
Automated workflows89%

As reported in 30 Databricks Data Intelligence Platform reviews. Completely automates end-to-end data workflows across the data integration lifecycle.

Based on 30 reviews

Integration

AI/ ML Integration87%

Based on 85 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 85 reviews
BI Tool Integration85%

Based on 86 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 86 reviews
Data lake Integration89%

Based on 95 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 95 reviews

Performance

Scalability90%

Based on 97 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 97 reviews

Security

Data Governance84%

Based on 88 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 88 reviews
Data Security86%

Based on 89 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 89 reviews
Access Control

Authenticates and authorizes individuals to access the data they are allowed to see and use.

Roles Management

Helps identify and manage the roles of owners and stewards of data.

Compliance Management

Helps adhere to data privacy regulations and norms.

Maintainence

Data Quality Management

Defines, validates, and monitors business rules to safeguard master data readiness.

Policy Management

Allows users to create and review data policies to make them consistent across the organization.

Analytics

Analytics capabilities86%

Provides a high performance, flexibile analytics platform to support data management and embrace data driven decision making. This feature was mentioned in 30 Databricks Data Intelligence Platform reviews.

Based on 30 reviews
Dasboard visualizations83%

Collect and displays metrics across the data integration via a dashboard. This feature was mentioned in 29 Databricks Data Intelligence Platform reviews.

Based on 29 reviews

Monitoring and Management

Data Observability81%

Involved solely in monitoring data pipelines, sending alerts and troubleshooting data. 30 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 30 reviews
Testing capabilities82%

Deploys testing capabilities such as report testing, big data testing, cloud data migration testing, ETL and data warehouse testing. 30 reviewers of Databricks Data Intelligence Platform have provided feedback on this feature.

Based on 30 reviews

Cloud Deployment

Hybrid cloud support92%

Based on 27 Databricks Data Intelligence Platform reviews. Supports analytical platforms and data pipelines across complex hybrid environments.

Based on 27 reviews
Cloud migration capabilities91%

As reported in 27 Databricks Data Intelligence Platform reviews. Supports migration of component or pipeline to different cloud environments.

Based on 27 reviews

Generative AI

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.

Rating Distribution

5★
271 (76.3%)
4★
77 (21.7%)
3★
6 (1.7%)
2★
0 (0.0%)
1★
1 (0.3%)

Company Information

LocationSan Francisco, CA
Founded1999
Employees9.7k+
Twitter @databricks
LinkedIn View Profile

Screenshots

User Reviews

View all reviews on G2
4.5
★★★★★
Based on 355 reviews
Senthil K.Cloud Data & AI ArchitectEnterprise(> 1000 emp.)
October 8, 2024
★★★★★

Unlocking Insights - Databricks : Unified Lakehouse Platform for Modern Data Intelligence

What do you like best about Databricks Data Intelligence Platform?

Mainly 60-70% of day-day actviities goes with Databricks DLT , Autoloader, databricks Workflows usage for Building unified pipelines

Also I use for creating the MlOps MlFlow Model serving , feature Store Online store tables for Mode...

Read full review on G2 →
Grace M.Data ScientistSmall-Business(50 or fewer emp.)
December 12, 2024
★★★★★

A Game Changer For DDO

What do you like best about Databricks Data Intelligence Platform?

Databrick is very user friendly, and i find it to be very benificial. The feature i like the most is MLflow as it allows us to keep record of machine learning models. It also processes data very quickly and reduces workload, which is...

Read full review on G2 →
Bhagirath S.Report & Dashboard DeveloperEnterprise(> 1000 emp.)
September 6, 2024
★★★★☆

Very likely to recommend data brick intelligence platform

What do you like best about Databricks Data Intelligence Platform?

i like easy to use interface with strong features supporting and helping in data transformation and implementing data pipeline quickly. i also like it has capability to be used by data analyst using query and result in dashboard , da...

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Ajay P.Associate Manager - Data EngineerSmall-Business(50 or fewer emp.)
September 8, 2024
★★★★★

Databricks - Best Tool for Data and AI

What do you like best about Databricks Data Intelligence Platform?

The best part of databricks data intelligence is that it's very simple to use and have lot of fetures that helps us develope data pipeline and AI, and it help us us to easy implemet GenAI mostly RAG in production. LakeFlow made inete...

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Kreethi M.Front end developerMid-Market(51-1000 emp.)
July 24, 2024
★★★★★

Streamlining Data Science and Machine Learning Workflows with Databricks Platform.

What do you like best about Databricks Data Intelligence Platform?

What I love most about Databricks Data Intelligence Platform is how user-friendly it is. From easy implementation to excellent customer support, I find myself using it daily without hassle. Its extensive feature set and seamless inte...

Read full review on G2 →

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FAQ

Here are some frequently asked questions about Databricks Data Intelligence Platform.

What is the Databricks Data Intelligence Platform?

It is a cloud-based platform that helps with data analysis, engineering, and machine learning.

Who can use this platform?

Data engineers, data scientists, and analysts can all benefit from using Databricks.

Is it suitable for small businesses?

While it is powerful, it might be costly for small businesses or startups.

What programming languages does it support?

It supports Python, SQL, R, and Scala.

Can I use it for real-time data processing?

Yes, it is designed for real-time data processing to get immediate insights.

Does it integrate with other data sources?

Yes, it connects easily to various data sources, enhancing its usability.

What are the security features?

It has robust security measures to protect your data.

How does it support collaboration?

Through collaborative notebooks, teams can work together on data projects.