Data Quadrant Awards 2019

Big Data


Software Reviews names IBM InfoSphere Big Data, Amazon Web Services Big Data, Microsoft Azure Big Data, and Hortonworks Data Platform as Big Data Data Quadrant Award Winners.

Big Data

Data Quadrant

Data Quadrants are proudly founded in 100% user review data and are free of traditional “magical” components such as market presence and analyst opinion, which are opaque in nature and may be influenced by vendor pressure, financial or otherwise.

The Software Reviews Data Quadrant evaluates and ranks products based on feedback from IT and business professionals. The placement of a software in the Data Quadrant indicates its relative ranking as well as its categorization.

Read The In-Depth Report

A thorough evaluation and ranking of all software in an individual category to compare software across every dimension.

  • user satisfaction rankings
  • |
  • vendor capability comparisons
  • |
  • business value scores
  • |
  • individual feature evaluations
  • |
  • emotional connection to products
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Big Data Data Quadrant

Note The axes ranges are dynamically adjusted based on minimum and maximum values in the dataset

Evaluate the Complete

Software Experience

When distilled down, the software experience is shaped by both the experience with the software and the relationship with the vendor. Evaluating enterprise software along these two dimensions provides a comprehensive understanding of the product and helps identify vendors that can deliver on both.

Product Features and Satisfaction

The satisfaction is captured in the overall satisfaction score, which is driven by the likelihood of users to recommend the software, combined with user satisfaction across top product features.

Vendor Experience and Capabilities

The vendor relationship is calculated in a weighted average of the satisfaction scores tied to vendor capabilities (e.g. software implementation, training, customer support, product roadmap) as well as emotional response ratings toward the vendor (e.g. trustworthy, respectful, fair).

Gold Medalists


IBM

IBM InfoSphere Big Data

Gain industry-leading database performance across multiple workloads while lowering administration, storage, development and server costs; Realize extreme speed with capabilities optimized for analytics workloads such as deep analytics, and benefit from workload-optimized systems that can be up and running in hours.

8.5

Composite
Score

Composite
Score

+87

Emotional
Footprint

Emotional
Footprint

82%

Likeliness to
Recommend

Likeliness
to Recommend

data-quadrant-awards-badge 2019
21Reviews

Amazon Web Services

Amazon Web Services Big Data

Amazon Web Services provides a broad range of services to help you build and deploy Big Data applications quickly and easily. AWS gives you fast access to flexible and low cost IT resources, so you can rapidly scale virtually any big data application including data warehousing, clickstream analytics, fraud detection, recommendation engines, event-driven ETL, serverless computing, and internet-of-things processing.

8.1

Composite
Score

Composite
Score

+83

Emotional
Footprint

Emotional
Footprint

83%

Likeliness to
Recommend

Likeliness
to Recommend

data-quadrant-awards-badge 2019
53Reviews

Microsoft

Microsoft Azure Big Data

Data volumes are exploding—from traditional point-of-sale systems and e-commerce websites to new customer sentiment sources like Twitter and IoT sensors that stream data in real time using Apache Hadoop and Spark. By analyzing a diverse dataset from the start, you’ll make more informed decisions that are predictive and holistic rather than reactive and disconnected.

8.1

Composite
Score

Composite
Score

+84

Emotional
Footprint

Emotional
Footprint

78%

Likeliness to
Recommend

Likeliness
to Recommend

data-quadrant-awards-badge 2019
25Reviews

Hortonworks

Hortonworks Data Platform

HDP is the industry's only true secure, enterprise-ready open source Apache™ Hadoop® distribution based on a centralized architecture (YARN). HDP addresses the complete needs of data-at-rest, powers real-time customer applications and delivers robust analytics that accelerate decision making and innovation.

8.0

Composite
Score

Composite
Score

+82

Emotional
Footprint

Emotional
Footprint

81%

Likeliness to
Recommend

Likeliness
to Recommend

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