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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Neutral
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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
Siddharth S.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Sep 2024
Great tool to query data
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
The Databricks Data Intelligence Platform stands out for its unified approach to analytics, integrating data engineering, data science, and machine learning into a single, collaborative workspace.
What is your favorite aspect of this product?
My favorite aspect of Databricks is its seamless integration of data engineering, data science, and machine learning in one platform.
What do you dislike most about this product?
i do not like only 30 days trail period and missing update mail from databrick
What recommendations would you give to someone considering this product?
i will recommend this to start up and data companies
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Enables Productivity
Karthika S.
- Role: Information Technology
- Industry: Finance
- Involvement: IT Leader or Manager
Submitted Sep 2024
Easy to implement and very stable data platform
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
Databricks platform is offering small to mid level organizations like my organization with stable cloud based data platform. It is very easy to setup a python/scala based data ingestion platforms streaming live data in realtime for various input events. Lakehouse features are great in capturing and processing the Changed delta along into gold, silver layers. Compared with other products in the market, this is a solid platform which is reliable and predictable environment without unexcepted environment errors.
What is your favorite aspect of this product?
Unity catalog feature provided by databricks is really great tool for showing the lineage information across various tables data flow, adding description and tag information and easy to use access control. Lakehouse features in databricks is really great.
What do you dislike most about this product?
There is a little increased cost compared with hosting bigdata applications directly in AWS. But the features offered and time saved for developers and analysts is worth the cost for the management for small organizations.
What recommendations would you give to someone considering this product?
Databricks is a great platform which you can build on top of the cloud platform of our choice. The workspace works seamlessly and is very reliable for production grade applications. They do regular updates for features and enhance security and other features. So you can definitely try this product.
Pros
- Continually Improving Product
- Reliable
- Enables Productivity
- Unique Features
Cons
- Under Delivered
Pradeep p.
- Role: Information Technology
- Industry: Other
- Involvement: IT Development, Integration, and Administration
Submitted Aug 2024
Powerful!!! but a bit pricey.
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
The Key Differentiator is through its unified platform that integrates data engineering, machine learning, data science and analytics platform. Seamless collaboration for real time sharing of notebooks, Support of popular languages like python, scala, sql, R , Robust cloud integeration.
What is your favorite aspect of this product?
Support of popular languages like python, scala, sql, R ,, easy to code notebook in any language
What do you dislike most about this product?
Cluster management and cost, it takes time for the cluster to be up
What recommendations would you give to someone considering this product?
improve the pricing on cluster management and reduce the time it takes for cluster to be up.
Pros
- Continually Improving Product
- Performance Enhancing
- Enables Productivity
- Includes Product Enhancements
