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
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Get AssistanceDatabricks Data Intelligence Platform Ratings
Real user data aggregated to summarize the product performance and customer experience.
91 Likeliness to Recommend
100 Plan to Renew
82 Satisfaction of Cost Relative to Value
Emotional Footprint Overview
+99 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
- Continually Improving Product
- Reliable
- Performance Enhancing
How to read the Emotional Footprint
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
Negative
Neutral
Positive
Feature Ratings
Promotions Management
Demand Forecast Integration
Native Business Intelligence Interface
Low-Code Report Construction
Automated Customer Data Ingestion and Harmonization
Automated Data Ingestion
Vendor Capability Ratings
Ease of Implementation
Ease of IT Administration
Business Value Created
Usability and Intuitiveness
Ease of Data Integration
Quality of Features
Availability and Quality of Training
Product Strategy and Rate of Improvement
Vendor Support
Breadth of Features
Ease of Customization
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Databricks Data Intelligence Platform Reviews
Jiju G.
- Role: Sales Marketing
- Industry: Retail
- Involvement: End User of Application
Submitted May 2024
If you have big databases, consider giving a try
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
provides opportunities for analytics which eliminates the need for separate tools and platforms for different tasks.
What is your favorite aspect of this product?
It’s a software that provides in depth detail of analytics
What do you dislike most about this product?
Nothing at all
What recommendations would you give to someone considering this product?
Do try this software
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Alenandro S.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Apr 2024
To organize and analyze data.
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
The Apache Spark distributed processing engine, providing excellent performance and scalability to handle massive volumes of data, is the foundation on which Databricks is built. Using Spark makes it simple with Databricks, allowing you to fully utilize its potential without having to deal with its underlying complexity.
What is your favorite aspect of this product?
Because it combines technologies for artificial intelligence, machine learning, data processing, and analysis, I appreciate Databricks Data Intelligence Platform. This enables groups to collaborate within a single environment on data projects from ingestion to production.
What do you dislike most about this product?
The complexity of data projects and the growth of clusters can make managing and maintaining Databricks infrastructure more difficult and call for specific knowledge of systems administration and performance optimization.
What recommendations would you give to someone considering this product?
I suggest... Elastic scaling based on user requirements is built into Databricks. It can manage any size data set—from tiny to petabytes—and adapt its computing power automatically to demand.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
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