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.
85 Likeliness to Recommend
100 Plan to Renew
80 Satisfaction of Cost Relative to Value
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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
- Respectful
- Reliable
- Unique Features
- Efficient Service
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 Access
Data Cleansing
Data Connectors and Data Mashup
Data Mining
Data Enrichment
Data Profiling
Data Security
Data Discovery and Search
Collaboration
Cataloging
Vendor Capability Ratings
Quality of Features
Ease of Data Integration
Business Value Created
Product Strategy and Rate of Improvement
Ease of Implementation
Breadth of Features
Availability and Quality of Training
Ease of IT Administration
Usability and Intuitiveness
Ease of Customization
Vendor Support
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Databricks Data Intelligence Platform Reviews
Neelam V.
- Role: Consultant
- Industry: Engineering
- Involvement: Business Leader or Manager
Submitted Mar 2024
Intuitive interface, but falls short on advanced
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
Databricks Lakehouse Platform differentiates itself from other data analytics and management platforms with its unique blend of features designed to unify data lakes and data warehouses, a concept often referred to as a "lakehouse." Key differentiators include: 1.Unified Data Analytics: Databricks provides a single platform for both data engineering and data science tasks, enabling collaboration across teams and streamlining the data processing workflow from ingestion to visualization. 3.Delta Lake: At the heart of the Databricks Lakehouse Platform is Delta Lake, an2. open-source storage layer that brings reliability, security
What is your favorite aspect of this product?
My favorite aspect of the Databricks Lakehouse Platform is its innovative Delta Lake technology. Delta Lake provides a reliable and performant storage layer that brings together the best of data lakes and data warehouses, enabling ACID transactions, scalable metadata handling, and schema enforcement directly on top of existing data lake storage. This feature not only enhances data reliability and quality but also simplifies the architecture needed for complex data analytics and machine learning projects, making it easier for teams to collaborate and innovate.
What do you dislike most about this product?
One aspect that users might find challenging with the Databricks Lakehouse Platform is its pricing model, which can be complex and potentially costly for small to medium-sized enterprises or teams with fluctuating usage. The platform's powerful features and scalability come at a premium, and managing costs effectively requires a clear understanding of workload requirements and careful planning. This pricing structure might make it less accessible for smaller projects or organizations with limited budgets.
What recommendations would you give to someone considering this product?
Assess Your Data Ecosystem: Understand your current and future data needs. Databricks Lakehouse Platform is particularly beneficial for organizations that require a blend of data lake and data warehouse capabilities, and have or anticipate complex data analytics and machine learning requirements. Plan for Scale: Consider how your data and processing needs might grow over time. Databricks excels in scalability, so it’s a good fit for organizations expecting to scale their data workloads. Evaluate Costs Carefully: Given the pricing model, it's important to evaluate your budget and understand how Databricks charges for its services.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Trustworthy
Joshua R.
- Role: Information Technology
- Industry: Entertainment
- Involvement: IT Development, Integration, and Administration
Submitted Mar 2024
Best end to end data platform
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
Best AI/ML services fully integrated into data warehouse.
What is your favorite aspect of this product?
Auto ML, experiments, registry and related services.
What do you dislike most about this product?
Setting up spark configs and clusters can get tedious.
What recommendations would you give to someone considering this product?
Free trial! you will enjoy it once setup
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Kirtiman C.
- Role: Consultant
- Industry: Consulting
- Involvement: Initial Implementation
Submitted Feb 2024
Good product for realtime data analytics and AI/ML
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
Faster data refresh and processing
What is your favorite aspect of this product?
AI/ML capabilities
What do you dislike most about this product?
Ease of use
What recommendations would you give to someone considering this product?
Go for it, good product in the market
Pros
- Helps Innovate
- Performance Enhancing
- Effective Service
- Inspires Innovation
