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.
86 Likeliness to Recommend
1
Since last award
97 Plan to Renew
3
Since last award
78 Satisfaction of Cost Relative to Value
3
Since last award
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.
+95 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
- Reliable
- Unique Features
- Respectful
- 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
Metadata Management
Message Model
Data Preparation Workflow
Self Service and Ad Hoc Capabilities
Data Access
Data Integration
Data Security & Masking
Data Mining
Data Connectors and Data Mashup
Record Deduplication
Lineage & Basic Auditing
Vendor Capability Ratings
Ease of Data Integration
Quality of Features
Business Value Created
Product Strategy and Rate of Improvement
Breadth of Features
Ease of Implementation
Usability and Intuitiveness
Availability and Quality of Training
Ease of Customization
Ease of IT Administration
Vendor Support
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Databricks Data Intelligence Platform Reviews
Milan P.
- Role: Public Sector
- Industry: Government
- Involvement: End User of Application
Submitted Dec 2024
Huge fan of Databricks and their products
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
Databricks stands out because it combines data engineering, analytics, and machine learning in one platform.
What is your favorite aspect of this product?
My favorite aspect of Databricks is its Lakehouse architecture, which combines the flexibility of data lakes with the reliability of data warehouses.
What do you dislike most about this product?
I don't have anything that comes to mind that I would dislike about this product.
What recommendations would you give to someone considering this product?
Databricks is trusted by major tech players, making it a solid choice for handling large-scale data and advanced analytics efficiently.
Pros
- Continually Improving Product
- Helps Innovate
- Reliable
- Enables Productivity
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
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
