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Qrvey

Qrvey

Overview

What is Qrvey?

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,…

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Learn from top reviewers

An excellent choice for embedded analytics on cloud

Rating: 9 out of 10
December 24, 2021
IncentivizedVetted ReviewVerified User
I managed the implementation and maintenance of Qrvey-based analytics as an embedded module in another software product. Qrvey is an ideal tool for the embedded analytics use ...
Continue reading
Verified user
Consultant
Qrvey4 years of experience

Analytics Platform That Makes It Easy

Rating: 10 out of 10
May 24, 2021
Vetted ReviewVerified User
We need an analytics platform that we could host ourselves and distribute embedded visualizations within our platform. Qrvey made sense for us as it leverages the AWS environm...
Continue reading
Ali Allage
C-Level Executive - Corporate
CEO (Chief Executive Officer)
BlueSteel Cybersecurity
Qrvey1 year of experience
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Pricing

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Qrvey

Qrvey

N/A
Unavailable

What is Qrvey?

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,…

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://qrvey.com/pricing

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

Would you like us to let the vendor know that you want pricing?

Alternatives Pricing

Amazon QuickSight

Amazon QuickSight

$5
per month

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Qlik Sense

Qlik Sense

$20
per month per user (10 user minimum)
What is Qlik Sense?

Qlik Sense® is a self-service BI platform for data discovery and visualization. It supports a full range of analytics use cases—data governance, pixel-perfect reporting, and collaboration. Its Associative Engine indexes and connects relationships between data points for creating actionable insights.

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Product Details

What is Qrvey?

Qrvey is an embedded analytics solution with a built-in data lake. Qrvey offers a turnkey solution connecting your data warehouse to a connected SaaS application.


Qrvey’s full-stack solution includes components that enable engineering teams to need to build less.


Qrvey’s multi-tenant data lake includes:

  • Elasticsearch as the analytics engine

  • A unified data pipeline for ingestion and transformation

  • A complete semantic layer for simple user and data security integration


Qrvey’s embedded visualizations support everything from:

  • Standard dashboards and templates

  • Self-service reporting

  • User-level personalization

  • Individual dataset creation

  • Data-driven workflow automation


Qrvey delivers this as a self-hosted package for cloud environments. This offers the best security as the data never leaves the user's own environment.



Qrvey Features

  • Supported: Multi-Tenant Data Lake Powered By Elasticsearch
  • Supported: Unified Data Pipeline
  • Supported: Prebuilt Data Connectors (Snowflake, PostgreSQL, MongoDB, AWS Redshift and more)
  • Supported: White-Label Embedded Components
  • Supported: Self-Service Dashboard Builder
  • Supported: No-Code Workflow Automation Builder
  • Supported: API Suite to Customize User Facing Experiences

Qrvey Screenshots

Screenshot of Qrvey embedded analytics for SaaS providersScreenshot of Screenshot of

Qrvey Competitors

Qrvey Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo

Qrvey Customer Size Distribution

Consumers0%
Small Businesses (1-50 employees)25%
Mid-Size Companies (51-500 employees)55%
Enterprises (more than 500 employees)20%
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Comparisons

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Reviews and Ratings

(3)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

Qrvey has become a valuable tool for organizations looking to empower their customers with easy-to-use analytics capabilities. Users have praised Qrvey for its comprehensive and powerful features that allow them to build customized dashboards and charts without the need for a dedicated data analysis team. The low-code visual representations and automated ETL process offered by Qrvey have significantly increased customer engagement around dashboard usage. Additionally, organizations are able to deliver embedded analytics within their multi-tenant SaaS application, providing advanced features like adhoc reporting and email subscriptions to reports. Customers appreciate the self-serve analytics and reporting options made possible by Qrvey, as it allows them to access and manipulate their data as desired. Furthermore, Qrvey proves useful for B2B SaaS customers who require a more flexible ad hoc reporting platform, offering better access to their data and empowering them with robust analysis capabilities. Overall, users find Qrvey to be a user-friendly and powerful solution for generating insights and delivering in-depth reports.

Helpful Support Team: Several users have found Qrvey's support team to be extremely helpful, with reviewers praising their responsiveness and knowledge. They appreciate the assistance provided by the support team during implementation in complex SaaS environments.

Full Suite of Analytics: Many users appreciate that Qrvey offers a comprehensive suite of analytics, which they consider unique in the field. Reviewers value the ability to go beyond basic charts and dashboards and access an analytics authoring interface for more advanced analysis.

Quick Determination and Implementation of Solutions: A number of users highlight Qrvey's quick determination and implementation of potential solutions. They commend the company for its efficiency in resolving issues promptly, enhancing their overall experience with the product.

Confusing Pricing Model: Some users have found the pricing model of Qrvey confusing, as it is based on the amount of data pushed into the platform and includes a multiplier for data replication. This complexity makes it difficult for users to predict the cost accurately.

Complexity at Scale: Several reviewers have mentioned that managing Qrvey implementations becomes more complex as user count and data volume scale up. This increased complexity can pose challenges in terms of administration and maintenance.

Lack of Customization Options: Users have expressed a desire for more customization options in terms of themes, styles, and granular permissions within widgets. They feel that Qrvey could benefit from providing greater flexibility to tailor the platform according to specific needs.

Reviews

(1-2 of 2)
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An excellent choice for embedded analytics on cloud

Rating: 9 out of 10
Incentivized
December 24, 2021
Verified User
Vetted Review
Verified User
Qrvey
4 years of experience
Use Cases and Deployment Scope
I managed the implementation and maintenance of Qrvey-based analytics as an embedded module in another software product. Qrvey is an ideal tool for the embedded analytics use case, as almost every component of the solution can be embedded, either as an iFrame or as a script element that adds the appropriate component directly to the page. In our use case, the customer was looking to embed surveys, analytics, and a chart builder directly into their web app.
Pros and Cons
  • Embedded charts and surveys.
  • Workflows or automations based on new data or alerts.
  • Integrated surveys and analytics.
Likelihood to Recommend
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.
Most Important Features
  • The ability to embed a chart builder, not just charts.
  • The ability to keep data in our own AWS account instead of sending it to a 3rd party server for charting.
  • Row-based filtering based on account permissions.
Return on Investment
  • In one implementation, Qrvey helped our customer quickly achieve feature parity with competitors, reducing churn.
Alternatives Considered
Qrvey isn't just an analytics tool or a survey tool. It's a one-stop-shop for surveys, analytics, and automation. If you need all or most of this functionality, Qrvey can be a better solution than standing up three tools and getting them to work well together. Looking at just analytics, Qrvey is excellent for embedded analytics on AWS. If you need to put a chart or a chart/dashboard builder in your website or web app, Qrvey makes this process very straightforward.
Other Software Used

Analytics Platform That Makes It Easy

Rating: 10 out of 10
May 24, 2021
AA
Ali Allage
CEO (Chief Executive Officer)
BlueSteel Cybersecurity (Computer & Network Security, 1-10 employees)
Vetted Review
Verified User
Qrvey
1 year of experience
Use Cases and Deployment Scope
We need an analytics platform that we could host ourselves and distribute embedded visualizations within our platform. Qrvey made sense for us as it leverages the AWS environment which we are very familiar with and is extremely easy to deploy. The added bonus of having workflow automation and other power features made it a no-brainer.
Pros and Cons
  • 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
Likelihood to Recommend
For our use case, its hands down the ability to embed visualizations onto our platform. We have an intelligence platform that provides different types of insights that follow a specific user flow. We need a platform that could not only visualize our data but help automate our data processing workflows. Other analytics platforms that we have used in the past make it extremely difficult to do the same thing.
Most Important Features
  • Security
  • Visualization distribution
  • Workflow automation
Return on Investment
  • Improve data communication
  • Improve workflow efficency
  • Meet security requirements
Alternatives Considered
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