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
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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
Harsh G.
- Role: Information Technology
- Industry: Media
- Involvement: End User of Application
Submitted Jul 2023
All-in-one platform for Data analysts & scientist!
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
It has all the capabilities to support data science teams. Can be used to perform analysis and create data pipelines for building models. Notebooks be scheduled with ease. We can use the this to develop models and put them into production.
What is your favorite aspect of this product?
It's great experience to be able to run analysis and model testing for big data projects in a single platform without switching between SQL server and development environment with Python. We can create DAGs and schedule notebooks and even get notifications on success/failure.
What do you dislike most about this product?
The platform itself might be laggy sometimes and the it becomes hard to decode the error coming on execution of a code in notebook.
What recommendations would you give to someone considering this product?
Go for it. Can be used for data analysis, data pipeline creation, automation, AL/ML model creation and tracking.
Pros
- Continually Improving Product
- Performance Enhancing
- Enables Productivity
- Effective Service
Ankur R.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted May 2023
Scalable data processing with AI integration
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
Databricks Lakehouse Platform offers a unified platform for data processing and analysis with integrated AI capabilities by fusing the greatest characteristics of data warehouses and data lakes.
What is your favorite aspect of this product?
With built-in capabilities for version control, project sharing, and collaboration, the platform is a great solution for teams working on data projects due to its strong collaboration and productivity features. Databricks Lakehouse Platform supports numerous programming languages, including Python, SQL, and R, and is extremely scalable, making it ideal for businesses with enormous datasets and workloads.
What do you dislike most about this product?
The platform also has a steep learning curve, which might make it difficult to start using, especially for novices. Using some of the more sophisticated features of the Databricks Lakehouse Platform may necessitate additional knowledge or resources, which will raise the overall cost and complexity of doing so.
What recommendations would you give to someone considering this product?
It's a good idea to start small and iterate over time, building on your achievements and learning from your failures, just like with any new tool or platform. Be persistent and patient, and don't be embarrassed to ask for assistance when you require it.
Pros
- Performance Enhancing
- Caring
- Saves Time
- Client's Interest First
Abhiram J.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Leader or Manager
Submitted Apr 2023
End to end tool for data analysis
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
So far I used database, datawarehouse on both on-premises and cloud to do the data analysis effectively but I could identify few issues while the data is being analyzed, and with databricks I could resolve those data gaps.
What is your favorite aspect of this product?
Data integration & analysis
What do you dislike most about this product?
nothing specific
What recommendations would you give to someone considering this product?
This is good tool which can be integrated with any on-premises or cloud tools
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
