IBM Cognos Dashboard Embedded vs. Qrvey

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Cognos Dashboard Embedded
Score 9.0 out of 10
N/A
IBM Cognos Dashboard Embedded is an API-based solution that lets developers add end-to-end data visualization capabilities to their applications.N/A
Qrvey
Score 8.5 out of 10
Mid-Size Companies (51-1,000 employees)
Qrvey headquartered in Tysons helps companies move their analytics beyond just visualizations and into the modern age with an all-in-one embedded analytics platform that was built on AWS to include the entire data pipeline. Qrvey includes tools for data collection, transformation, analysis, visualization, automation and machine learning.N/A
Pricing
IBM Cognos Dashboard EmbeddedQrvey
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM Cognos Dashboard EmbeddedQrvey
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
IBM Cognos Dashboard EmbeddedQrvey
User Ratings
IBM Cognos Dashboard EmbeddedQrvey
Likelihood to Recommend
9.1
(2 ratings)
9.1
(2 ratings)
User Testimonials
IBM Cognos Dashboard EmbeddedQrvey
Likelihood to Recommend
IBM
During the project development phase it becomes easier to visualize the code development in almost real time with charts and drop down and drag and drop features makes it really easy for the effective development process during different phases of the project. Dashboard itself is of great help with features like drag and drop and visualize the artifacts in real time as we are developing those. It wouldn't be very effective with high massive coding and huge coding projects as we may encounter performance issues.
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Qrvey
Qrvey is an excellent solution for AWS-based customers looking to add embedded analytics functionality. It is cloud-native and good at scaling. There are BI solutions with greater depth in particular areas (chart types, custom metrics), but Qrvey has an unmatched level of customizability for embedded use cases. Many APIs are also exposed and documented, making them easy to integrate into a data ecosystem.
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Pros
IBM
  • Easy to learn and apply in real time projects.
  • Multiple query can be combined to generate simple and easy to understand reports.
  • Mobile access feature helps to integrate with multiple devices.
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Qrvey
  • The platform deploys to our AWS instance which gave us the ability to manage ourselves
  • The feature of easily embedding visualizations into other applications
  • The powerful features like workflow automation
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Cons
IBM
  • How to do guide and there is definitely more training opportunity that company can offer
  • Performance improvements can make the tool more efficient
  • Can be more open to accept the external files
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Qrvey
  • Merges between heterogenous datasets can occasionally be problematic
  • The dashboards/pages are already very powerful, but more interactive elements would always be welcome.
  • The administration of a Qrvey instance and underlying datastore can sometimes be complex, but the Admin app helps make this a smooth process.
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Alternatives Considered
IBM
Lower costs—reduces maintenance due to complete report coverage and a zero-footprint environment. Ability to create complex, multi-page layouts using different data sources. Multiple export formats—Excel, Portable Document Format (PDF), Extensible Markup Language (XML), Hypertext Markup Language (HTML), and Comma Separated Value (CSV).
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Qrvey
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Return on Investment
IBM
  • Effectively solves the project blockers by mitigating the integration challanges
  • Monetary impact is not negatively impacted on the projects budgets
  • Great ROI and positive impact on the business because of breath of features and great dashboard features
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Qrvey
  • In one implementation, Qrvey helped our customer quickly achieve feature parity with competitors, reducing churn.
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ScreenShots

Qrvey Screenshots

Screenshot of Qrvey embedded analytics for SaaS providersScreenshot of Screenshot of