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
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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
Rahul S.
- Role: Information Technology
- Industry: Engineering
- Involvement: End User of Application
Submitted Nov 2021
Easy to use and excellent to work with big data!
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
Native support in R, Scala, Python or SQL interface. Excellent provision of a map-reduce system for seamless distributed computing. Truly hides the details of a distributed architecture and allows developers to focus on the business logic as opposed to minor implementation details. Great for machine learning with large datasets.
What is your favorite aspect of this product?
Might be trivial, but the Jupyter notebook-like UI is extremely fruitful for explainable and maintainable code experiments. Great tool for collaboration with distributed systems optimizing a data intense pipeline.
What do you dislike most about this product?
I believe the tutorials and documents could be made more user-friendly. The initial stage of adaptation was a little slow due to the lack of information in some advanced but useful features on Databricks.
What recommendations would you give to someone considering this product?
I suggest starting with developing an end-to-end pipeline unrelated to your immediate project in order to get a hang of the product and the nuances. Going through the official tutorials on YouTube would definitely help as well, especially in terms of differentiating databricks from its competition or other products you may be considering. Since here they aren't trying to sell you the product, but exploring it to explain its usage.
Pros
- Respectful
- Appreciates Incumbent Status
- Helps Innovate
- Continually Improving Product
