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.
Company Details
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88 Likeliness to Recommend
2
Since last award
100 Plan to Renew
78 Satisfaction of Cost Relative to Value
1
Since last award
Emotional Footprint Overview
+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
- Continually Improving Product
- Effective Service
- Fair
- Client's Interest First
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
Pre-Packaged AI/ML Services
Performance and Scalability
Data Ingestion
Model Monitoring and Management
Model Training
Data Pre-Processing
Algorithm Diversity
Data Labeling
Feature Engineering
Data Exploration and Visualization
Model Tuning
Vendor Capability Ratings
Ease of Data Integration
Quality of Features
Usability and Intuitiveness
Availability and Quality of Training
Business Value Created
Product Strategy and Rate of Improvement
Breadth of Features
Ease of Implementation
Ease of Customization
Vendor Support
Ease of IT Administration
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Databricks Data Intelligence Platform Reviews
Maryam A.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Mar 2024
For processing data streams
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
Advanced security and compliance capabilities are available with Databricks Lakehouse Platform. These features include data encryption to safeguard data integrity and confidentiality, data auditing, and integration with identity and access management systems.
What is your favorite aspect of this product?
Because of its close interaction with cloud providers like Azure, AWS, and Google Cloud Platform, Databricks Lakehouse Platform is well-liked for its ease of deployment and management in public cloud environments.
What do you dislike most about this product?
While lakehouse design can help with data unification and analytical capacities, it can also add to the complexity of data management and ETL process deployment.
What recommendations would you give to someone considering this product?
I recommend using Databricks Lakehouse Platform, it has features and capabilities to manage, store and analyze data effectively and scalably.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Please tell us why you think this review should be flagged.
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
Please tell us why you think this review should be flagged.
Avinash G.
- Role: Information Technology
- Industry: Engineering
- Involvement: IT Development, Integration, and Administration
Submitted Mar 2024
Easy to use and really love it
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
Data cataloging is the most efficient feature of the product and easy for use in development
What is your favorite aspect of this product?
provides a unified interface and tools for most data tasks
What do you dislike most about this product?
Nothing to dislike.. but some aspects in pricing but it's good
What recommendations would you give to someone considering this product?
I really like that ..I think every organisation use these tools for brush up with new era world
Pros
- Helps Innovate
- Reliable
- Performance Enhancing
- Enables Productivity
Please tell us why you think this review should be flagged.
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