Looker Alternative

Qrvey vs Looker

There’s Only One Winner For
Embedded and Distributed Use Cases

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The Difference is Clear

Looker has been acquired by Google and follows in the footsteps of traditional business intelligence players like Cognos, which was acquired by IBM in 2008. Looker is currently available as a server-based Java application or hosted on the Google Cloud Platform. The product has robust APIs for embedded applications, making it a better choice for distributed applications than rivals like Tableau. However, Looker is only able to embed end-user outputs, which falls short of modern analytics solutions like Qrvey. It remains to be seen how support for Amazon Web Services (AWS) and Microsoft’s Azure will be affected by the Google acquisition. 

100% Cloud-Native
All Data Accepted
No Code Required
All-in-One Platform
Fully Elastic / Auto Scaling
Dashboards and Visualizations
100% Mobile / Responsive
Fully Embeddable / White Label
AI & ML
Scheduling
Automation & Workflows
Unlimited Users
Embedded-Friendly Licensing

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5 Key Ways Qrvey Beats Looker

Looker

Outdated Architecture

Looker is a deployed Java application that can either be hosted on your own servers or as a SaaS service. In either case, Looker requires the installation and maintenance of a Java Virtual Machine, which adds an extra layer of complexity to scalability decisions. 

Qrvey

Qrvey is Cloud-Native

Qrvey is a native, cloud-based platform that is deployed into your existing AWS cloud account, ensuring you’re always in control of your data and infrastructure. It can quickly and cost-effectively scale using dozens of AWS microservices and a serverless architecture.

 
Winner: Qrvey

Looker

Performance is Database-Dependent

Looker merely connects to your existing data sources and does not include any built-in data repository. This means that the platform’s performance is entirely dependent on the performance of the databases it’s connected to, which limits scaleability and flexibility.

 

Qrvey

Qrvey Scales Automatically

Qrvey is built on Elasticsearch and provides industry-leading performance, scalability and flexibility to meet even the most demanding use cases. It works with all your data, including semi- and unstructured data, eliminating the dark data problem.

 
Winner: Qrvey

Looker

Focused on Data Visualizations

Looker is primarily a data visualization tool that only offers users the ability to connect to external datasets, perform analysis and build charts, reports, metrics and dashboards.

 

Qrvey

Qrvey is an All-in-One Platform

Qrvey, moves beyond visualizations with an all-in-one analytics platform that includes data collection, transformation, analysis, automation, actions and AI/ML capabilities. 

 
Winner: Qrvey

Looker

Looker is not SDLC Compliant

Looker does allow customers to install multiple instances of their product for development, staging and production environments, but has no multi-instance administration. Moving data and applications between instances is a manual process.

 

Qrvey

Qrvey is SDLC Compliant

By contrast, Qrvey is SLDC compliant, with the ability to create separate development, testing and staging environments as well as multi-tenant environments as needed. The platform also includes tools for management and deployment between instances.

Winner: Qrvey

Looker

Licensing is not Embedded-Friendly

Looker offers basic embedding for B2B use cases, however it is typically licensed on a per-user basis, factoring in the number of data sources it’s connected to, among other variables. This makes it less than ideal for embedded applications with require a large and dynamic user base.

 

Qrvey

Qrvey Includes Unlimited Users

Qrvey was built from the ground up with a B2B mindset. It includes robust APIs and pre-built UI widgets for white-labeling and embedded use cases. It is packaged and licensed for embedded use cases with the experience, support and guidance you need to be successful.

 
Winner: Qrvey (hands-down)

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Qrvey vs Looker

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