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Databricks

Databricks Data Intelligence Platform

8.7 / 10
Category
Databricks Data Intelligence Platform
8.7 / 10

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. The winners in every industry will be data and AI companies. 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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Awards & Recognition

Databricks Data Intelligence Platform won the following awards in the Data Preparation for Analytics category

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Databricks Data Intelligence Platform Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Databricks Data Intelligence Platform.

91 Likeliness to Recommend

1
Since last award

100 Plan to Renew

87 Satisfaction of Cost Relative to Value

4
Since last award


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Emotional Footprint Overview

+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?

0% Negative
0% Neutral
100% Positive

Pros

  • Helps Innovate
  • Performance Enhancing
  • Respectful
  • Client Friendly Policies

Feature Ratings

Average 84

Data Integration

87

Data Pre-Processing

86

Data Access

86

Data Connectors and Data Mashup

86

Data Labeling

85

Collaboration

85

Data Packaging

84

Data Enrichment

84

Data Cleansing

84

Cataloging

84

Data Security

83

Vendor Capability Ratings

Average 83

Breadth of Features

100

Ease of Implementation

100

Ease of IT Administration

100

Quality of Features

100

Usability and Intuitiveness

100

Vendor Support

98

Business Value Created

97

Availability and Quality of Training

96

Ease of Data Integration

96

Product Strategy and Rate of Improvement

94

Ease of Customization

93

Databricks Data Intelligence Platform Reviews

Maryam A.

  • Role: Information Technology
  • Industry: Technology
  • Involvement: End User of Application
Validated Review
Verified Reviewer

Submitted Mar 2024

For processing data streams

Likeliness to Recommend

9 / 10

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

Neelam V.

  • Role: Consultant
  • Industry: Engineering
  • Involvement: Business Leader or Manager
Validated Review
Verified Reviewer

Submitted Mar 2024

Intuitive interface, but falls short on advanced

Likeliness to Recommend

10 / 10

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

Bharti K.

  • Role: Finance
  • Industry: Finance
  • Involvement: Business Leader or Manager
Validated Review
Verified Reviewer

Submitted Mar 2024

It offers scalable, intgrated data solutions

Likeliness to Recommend

7 / 10

What differentiates Databricks Data Intelligence Platform from other similar products?

Databricks Lakehouse Platform stands out from other similar products due to its seamless integration with Apache Spark and Delta Lake, offering a unified platform for data engineering, data science, and analytics. Its focus on combining the best features of data lakes and data warehouses, along with its scalable and reliable architecture, sets it apart in the market. Additionally, Databricks' collaborative workspace and easy-to-use interface make it a preferred choice for many organizations seeking a comprehensive data management and analytics solution.

What is your favorite aspect of this product?

My favorite aspect of Databricks Lakehouse Platform is its ability to provide a unified platform for data engineering, data science, and analytics. This integration allows for seamless collaboration between different teams and simplifies the overall data management process. Additionally, the platform's scalability and reliability make it a powerful tool for organizations looking to manage and analyze large volumes of data effectively.

What do you dislike most about this product?

While Databricks Lakehouse Platform offers a comprehensive set of features, I found the cost of implementation and maintenance to be a drawback. Additionally, the learning curve for new users, especially those unfamiliar with Apache Spark and Delta Lake, can be steep. Improvements in user onboarding and cost transparency could enhance the overall user experience.

What recommendations would you give to someone considering this product?

Consider Databricks Lakehouse Platform for unified data management and analytics. Evaluate costs and training needs, start with a pilot project, and leverage resources for optimal use. Engage with Databricks or partners for implementation and ongoing support to maximize benefits for your organization.

Pros

  • Helps Innovate
  • Reliable
  • Inspires Innovation
  • Generous Negotitation

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