What is Databricks Data Intelligence Platform?
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals.
Company Details
Need Assistance?
We're here to help you with understanding our reports and the data inside to help you make decisions.
Get AssistanceDatabricks Data Intelligence Platform Ratings
Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard
to access more information on Databricks Data Intelligence Platform.
90 Likeliness to Recommend
100 Plan to Renew
85 Satisfaction of Cost Relative to Value
2
Since last award
Emotional Footprint Overview
+96 Net Emotional Footprint
The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.
How much do users love Databricks Data Intelligence Platform?
Pros
- Helps Innovate
- Respectful
- Client Friendly Policies
- Fair
Emotional Footprint
How to Read
Positive
Neutral
Negative
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Feature Ratings
Data Integration
Data Connectors and Data Mashup
Collaboration
Data Pre-Processing
Data Labeling
Data Access
Data Security
Data Enrichment
Data Cleansing
Cataloging
Data Packaging
Vendor Capability Ratings
Ease of Data Integration
Quality of Features
Business Value Created
Usability and Intuitiveness
Ease of Implementation
Breadth of Features
Availability and Quality of Training
Ease of IT Administration
Ease of Customization
Product Strategy and Rate of Improvement
Vendor Support
Also Featured in...
Databricks Data Intelligence Platform Reviews
Hemendra S.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Mar 2024
Best Tool to interact with the data
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
its integration with multiple sources in a very appreciated way.
What is your favorite aspect of this product?
Data Proccessing and computation proccess and and ai in query writing
What do you dislike most about this product?
it new interface of the cells
What recommendations would you give to someone considering this product?
if you are looking to move to new technology you should be move to databricks.
Pros
- Continually Improving Product
- Trustworthy
- Unique Features
- Inspires Innovation
Maryam A.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Mar 2024
For processing data streams
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
Advanced security and compliance capabilities are available with Databricks Lakehouse Platform. These features include data encryption to safeguard data integrity and confidentiality, data auditing, and integration with identity and access management systems.
What is your favorite aspect of this product?
Because of its close interaction with cloud providers like Azure, AWS, and Google Cloud Platform, Databricks Lakehouse Platform is well-liked for its ease of deployment and management in public cloud environments.
What do you dislike most about this product?
While lakehouse design can help with data unification and analytical capacities, it can also add to the complexity of data management and ETL process deployment.
What recommendations would you give to someone considering this product?
I recommend using Databricks Lakehouse Platform, it has features and capabilities to manage, store and analyze data effectively and scalably.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Neelam V.
- Role: Consultant
- Industry: Engineering
- Involvement: Business Leader or Manager
Submitted Mar 2024
Intuitive interface, but falls short on advanced
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
Databricks Lakehouse Platform differentiates itself from other data analytics and management platforms with its unique blend of features designed to unify data lakes and data warehouses, a concept often referred to as a "lakehouse." Key differentiators include: 1.Unified Data Analytics: Databricks provides a single platform for both data engineering and data science tasks, enabling collaboration across teams and streamlining the data processing workflow from ingestion to visualization. 3.Delta Lake: At the heart of the Databricks Lakehouse Platform is Delta Lake, an2. open-source storage layer that brings reliability, security
What is your favorite aspect of this product?
My favorite aspect of the Databricks Lakehouse Platform is its innovative Delta Lake technology. Delta Lake provides a reliable and performant storage layer that brings together the best of data lakes and data warehouses, enabling ACID transactions, scalable metadata handling, and schema enforcement directly on top of existing data lake storage. This feature not only enhances data reliability and quality but also simplifies the architecture needed for complex data analytics and machine learning projects, making it easier for teams to collaborate and innovate.
What do you dislike most about this product?
One aspect that users might find challenging with the Databricks Lakehouse Platform is its pricing model, which can be complex and potentially costly for small to medium-sized enterprises or teams with fluctuating usage. The platform's powerful features and scalability come at a premium, and managing costs effectively requires a clear understanding of workload requirements and careful planning. This pricing structure might make it less accessible for smaller projects or organizations with limited budgets.
What recommendations would you give to someone considering this product?
Assess Your Data Ecosystem: Understand your current and future data needs. Databricks Lakehouse Platform is particularly beneficial for organizations that require a blend of data lake and data warehouse capabilities, and have or anticipate complex data analytics and machine learning requirements. Plan for Scale: Consider how your data and processing needs might grow over time. Databricks excels in scalability, so it’s a good fit for organizations expecting to scale their data workloads. Evaluate Costs Carefully: Given the pricing model, it's important to evaluate your budget and understand how Databricks charges for its services.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Trustworthy