SoftwareReviews Emotional Footprint Awards evaluate and rank products based on emotional
response ratings from IT and business professionals. Using our Emotional Footprint methodology,
we aggregate emotional footprint scores across 26 dimensions of the vendor-client relationship
and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
Emotional Footprint Awards 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.
Read The In-Depth Report
See how each vendor stacks up across each of the 26 dimensions
and our thorough evaluation of vendor capabilities, product features, and overall satisfaction.
Emotional Footprint is scored using our “Net Emotional Footprint” Index. This index tracks responses
across 26 dimensions of emotional footprint that span 5 categories: Purchasing, Service Experience,
Product Impact, Vendor Strategy, and Conflict Resolution. Then, the following calculation is done
across this index:
% of Positive Reviews - % of Negative Reviews
For clarity, the total percentage of positive, neutral, and negative ratings is shown for each vendor as well.
Snowflake’s cloud data platform supports a multi-cloud strategy, including a cross-cloud approach to mix and match clouds as you see fit. Snowflake is available globally on AWS, Azure and Google Cloud Platform. With a common and interchangeable code base, Snowflake delivers advantages such as global data replication, which means you can move your data to any cloud in any region, without having to re-code your applications or learn new skills.
BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you have no infrastructure to manage and don't need a database administrator, use familiar SQL and can take advantage of pay-as-you-go model.
Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning to deliver the best price performance at any scale.
The Oracle Exadata Database Machine is engineered to deliver dramatically better performance, cost effectiveness, and availability for Oracle databases. Exadata features a modern cloud-based architecture with scale-out high-performance database servers, scale-out intelligent storage servers with state-of-the-art PCI flash, and an ultra-fast InfiniBand internal fabric that connects all servers and storage.
Harness the power of your data and accelerate trusted outcome-driven innovation by developing intelligent and live solutions for real-time decisions and actions on a single data copy. Support next-generation transactional and analytical processing with a broad set of advanced analytics – run securely across hybrid and multicloud environments.
Cloudera offers the highest performance and lowest cost platform for using data to drive better business outcomes. Powered by the world’s most popular Apache Hadoop distribution, Cloudera Enterprise lets you focus on results.
Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless or provisioned resources—at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.
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