Data Quadrant Awards 2020
Big Data
SoftwareReviews names Amazon Web Services Big Data, Microsoft Azure Big Data, and IBM InfoSphere 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 SoftwareReviews 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
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- vendor capability comparisons
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- business value scores
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- individual feature evaluations
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- emotional connection to products
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
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
+84
Emotional
Footprint
Emotional
Footprint
82%
Likeliness to
Recommend
Likeliness
to Recommend
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.
8.0
Composite
Score
Composite
Score
+82
Emotional
Footprint
Emotional
Footprint
81%
Likeliness to
Recommend
Likeliness
to Recommend
IBM
IBM InfoSphere
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.
8.0
Composite
Score
Composite
Score
+85
Emotional
Footprint
Emotional
Footprint
81%
Likeliness to
Recommend
Likeliness
to Recommend