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. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals.
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Real user data aggregated to summarize the product performance and customer experience.
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Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
87 Likeliness to Recommend
100 Plan to Renew
83 Satisfaction of Cost Relative to Value
Emotional Footprint Overview
Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
+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
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
Data Integration
Data Connectors and Data Mashup
Data Pre-Processing
Collaboration
Data Access
Data Cleansing
Cataloging
Data Security
Data Packaging
Data Labeling
Data Enrichment
Vendor Capability Ratings
Quality of Features
Ease of Data Integration
Business Value Created
Availability and Quality of Training
Ease of Implementation
Breadth of Features
Usability and Intuitiveness
Ease of Customization
Ease of IT Administration
Product Strategy and Rate of Improvement
Vendor Support
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Databricks Data Intelligence Platform Reviews
Akash D.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted May 2024
Fantastic product!
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
ease of use
What is your favorite aspect of this product?
usability and accuracy
What do you dislike most about this product?
Nothing much but the UI
What recommendations would you give to someone considering this product?
would like to have user friendly Ui
Pros
- Trustworthy
- Transparent
- Continually Improving Product
- Reliable
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
Bir B.
- Role: Industry Specific Role
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Apr 2024
Worth the money, makes development efficient
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
Databricks DIP is great 'cause: It stores all kinds of data easily with its Lakehouse setup. It works with lots of tools and doesn't tie you down to one. It's all about Machine Learning, making data, ML, and insights in one place. You can pick which cloud you want to use. It can handle a ton of data without breaking a sweat.
What is your favorite aspect of this product?
It's all about Machine Learning, making data, ML, and insights in one place.
What do you dislike most about this product?
Nothing as of now.
What recommendations would you give to someone considering this product?
Learning curve might be steep, but its really efficient.
Pros
- Effective Service
- Caring
- Saves Time
- Respectful
