Zoho Analytics vs Qrvey

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Our analysts compared Zoho Analytics vs Qrvey based on data from our 400+ point analysis of Embedded Analytics Tools, user reviews and our own crowdsourced data from our free software selection platform.

Zoho Analytics Software Tool

Product Basics

Zoho Analytics (formerly Zoho Reports) allows users to create visualizations and dashboards to present their data via a quick, easy, self-service model. It brings insight and analysis to an organization’s business data on-demand without needing IT assistance or data analysts through extensive automation efforts in several dimensions of the analytical process.

Users can crunch huge datasets, clean and blend data, perform various analytical tasks and visualize the results in dynamic graphics to uncover insights. They can make data-informed business decisions in a stand-alone or embedded environment with support for mobile devices. It has flexible on-premise or cloud deployment models.
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Qrvey is an all-in-one embedded and distributed analytics platform purpose-built for SaaS providers living in the AWS ecosystem. It provides self-service visibility and control over entire data pipelines, including data collection and transformation, analytics and visualization. Working seamlessly with all types of structured, semi- and unstructured data, it helps organizations become more data-driven with a big picture approach to delivering insights and taking action.

Compared to legacy, server-based environments, its modern, serverless architecture speeds and simplifies deployment while offering savings. It deploys directly into existing AWS environments, simplifying data security and compliance. Suitable for small, medium and large SaaS businesses alike, it prioritizes flexibility and scalability through its unique infrastructure. Special pricing is available for startups.
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$24 Monthly
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Tailored to your specific needs
$5,000 Monthly
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Tailored to your specific needs
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Chromebook
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On-Premise
Mobile
Cloud
On-Premise
Mobile

Product Assistance

Documentation
In Person
Live Online
Videos
Webinars
Documentation
In Person
Live Online
Videos
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Email
Phone
Chat
FAQ
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Knowledge Base
24/7 Live Support
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Knowledge Base
24/7 Live Support

Product Insights

  • Visualize Data in Intuitive Graphics: Create insightful, useful dashboards to gain valuable information. Offers an expansive library of visualization types that is expanded frequently. Employees can also blend multiple reports into a single dashboard to gain insight into larger data trends. 
  • Discover Business Operations Insights: Get in-depth, actionable overviews of operations, ranging from sales, finance and marketing to resource management and geographic activity through geo visualizations that facilitate comparison across and between regions. 
  • Perform In-Depth Analysis: Managers can perform deep analytical queries that increase their business intelligence through powerful features like pre-built formulas and functions that identify business metrics and smart forecasting to project future outcomes. 
  • Share and Collaborate on Reports: Provides managers with fine-grained access over the content clients and colleagues can see and edit. Users with access can publish reports, embed them into websites or share them via email for collaboration. Peers can create comment threads on reports as well as add images and annotations. 
  • Embed Into Other Systems: Embed the software’s analytics capabilities into other solutions like CRM platforms, ERP tools or others. Offers seamless integration and a fully re-branded user portal for a continuous user experience across platforms. 
  • Extend the Software as Business Grows: The platform’s extensible, scalable architecture helps build and integrate analytics into applications of any size. Scales up to enterprises using huge volumes of data by utilizing scalable columnar database technology. 
  • Draw Data From Many Sources: Develop a 360-degree view of the organization by blending different types and sources, including outside sources, of data into a single cohesive database, allowing businesses to better answer questions regarding customer behavior, business operations, financial status and more. 
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  • Leverage Cloud-Native Infrastructure: Deploys directly and securely into existing AWS ecosystems, streamlining data security and administration requirements because data never leaves the client’s environment. Provides worry-free initial installation, maintenance and upgrades over time.
  • Access Low Costs: Reduce cost of ownership compared to server-based solutions — the serverless platform only uses resources when they’re actively in use. Stop paying for servers that sit idle and maximize technology investments.
  • Ensure Flexibility and Scalability: Leverage major technological advances such as machine learning and microservices through AWS to cut loose from legacy architectures. Scale flexibly with data tasks and business needs as they develop and modernize.
  • Provide Zero-Downtime Version Updates: Update applications with no hassle or downtime; test each update in development and staging environment before pushing them live.
  • Offer SDLC Compliance: Fully SDLC compliant, dev-friendly development, staging and production environments make testing and deploying embedded analytics simple and fast.
  • Boost Ease of Use: Effortlessly build and use analytics with its intuitive interface, designed for self-service access to information without requiring any coding.
  • Implement All-in-One BI: Reduce complexity by providing multiple built-in data tools in one end-to-end solution. Collect and transform data, visualize and analyze it, then “set it and forget it” with automated workflows.
  • Facilitate Automation: Spend less time on analytics processes with automated data-driven workflows that deliver insights straight to the hands of decision-makers.
  • Use Enhanced Data: Connect to existing data sources — collect new data, augment and transform existing data, and use all data, including unstructured data.
  • See It In Action: The vendor offers either a personalized demo of the tool upon request or a weekly group demo.
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  • Geo Visualization: Sales reps can quickly and easily compare regional performance with interactive map charts. Comparisons can be performed across countries, states, counties and more. 
  • Data Alerts: Managers can set alert conditions that trigger automated alerts when there is a significant change or anomaly in the data. 
  • Report Scheduling: Reports can be scheduled to be published or emailed automatically. Also, schedule recurring reports to generate on a set schedule. 
  • Drag-and-Drop Interface: An intuitive drag-and-drop interface makes generating useful reports quick and easy, without the need for code. View underlying data, set contextual filters, perform data exploration and drill down into the data to gain insights. 
  • White Labeling: The solution is white-labeled to facilitate embedding into websites or applications. Use this technology to embed individual reports or dashboards. 
  • Ask Zia: Zia is a smart analytical assistant built out of a blend of AI and machine learning algorithms. Employees can type out questions in natural query language (NQL), and the assistant will offer answers and suggestions via reports or automatically build and source KPI widgets. 
  • Data Connectors: Connects to a broad range of data connectors, including files and feeds, cloud storage, multiple databases, CRM systems, Google Analytics, marketing platforms, social media, financial platforms, e-commerce platforms, HR and more. 
  • Auto-Joined Data: Auto-joining tables can automatically merge tables linked by a Lookup column (schema attribute). This assists and partially automates cohesive database creation. 
  • Mobile Support: Apps on iOS and Android allow managers to view reports and dashboards from their mobile devices and overwatch operations from anywhere. 
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  • Data Connectivity: Collect structured, semi- and unstructured data alike to ensure holistic visibility.
  • Data Transformation: Simplify data preparation through simple data ingestion and loading, as well as hundreds of built-in API-enabled transformations, reducing the need for cumbersome, time-consuming ETL processes. Leverages AI and ML to automatically profile, enhance and augment data through AWS.
  • Data Visualization: Build interactive charts, reports, metrics and dashboards with point-and-click ease. Dig deeper with drill-downs, filters and additional actions. Create dashboards that offer a snapshot of different KPIs and critical data points in the form of panels. Facilitate interactions through drill-downs, filters, scaling, tooltips, zooming and touch events.
  • Sharing: Share and disseminate relevant information using the Report Builder. Create multi-page and multi-tab reports with built-in data security and interactivity.
  • Analytics Builder: Create stand-alone or embeddable analytics applications.
  • Access Controls: Ensure complete control of data and who can see it through granular, managed access controls.
  • Automate Workflows: Leverage a self-service workflow builder to automate everyday tasks. Set conditional triggers and rules to track data changes. Receive notifications and alerts via email, SMS or Slack.
  • Embedded Analytics: Embed all analytics features, including interactive dashboards, reporting, data analysis and more. Configure workflow actions and offer a white label experience with full visual customization and responsive design for all devices.
  • Data Security: Leverage a full suite of tools and capabilities to keep data safe and secure, including single sign-on, rules and permissions for data, users and applications, and more.
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Product Ranking

#9

among all
Embedded Analytics Tools

#15

among all
Embedded Analytics Tools

Find out who the leaders are

Analyst Rating Summary

90
79
80
89
77
96
85
76
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Embedded Data Visualization
Embedded Reporting
Security
Mobile Capabilities
Platform Capabilities
Embeddability
Security
Embedded Data Visualization
Embedded Reporting
Data Management

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Zoho Analytics
Qrvey
+ Add Product + Add Product
Data Management Embeddability Embedded Analytics Embedded Data Visualization Embedded Reporting Mobile Capabilities Platform Capabilities 80 77 85 97 97 92 91 89 96 76 91 91 52 86 0 25 50 75 100
86%
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14%
86%
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14%
80%
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20%
100%
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63%
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37%
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92%
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89%
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11%
100%
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40%
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60%
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83%
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17%

Analyst Ratings for Technical Requirements Customize This Data Customize This Data

88%
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12%
62%
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38%
100%
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86%
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14%

User Sentiment Summary

Great User Sentiment 748 reviews
Excellent User Sentiment 19 reviews
89%
of users recommend this product

Zoho Analytics has a 'great' User Satisfaction Rating of 89% when considering 748 user reviews from 5 recognized software review sites.

96%
of users recommend this product

Qrvey has a 'excellent' User Satisfaction Rating of 96% when considering 19 user reviews from 5 recognized software review sites.

5.0 (14)
n/a
4.2 (130)
5.0 (7)
4.5 (226)
4.75 (4)
n/a
4.8 (4)
4.5 (168)
4.0 (1)
4.4 (210)
4.7 (3)

Awards

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Qrvey stands above the rest by achieving an ‘Excellent’ rating as a User Favorite.

User Favorite Award

Synopsis of User Ratings and Reviews

Ease of Use: It is a user-friendly platform that makes it easy to upload and control data, as noted by more than 77% of reviewers who mention ease of use.
Integration: Facilitates integration with multiple databases and platforms for greater insights, as reported by 82% of the users noting integrations.
Dashboards: It enables easy creation and sharing of multifaceted, custom dashboards, as observed by 75% of reviewers specifying dashboards.
Flexible Reports: It helps generate dynamic and customizable reports quickly, as stated by 88% of the users who refer to reports.
Implement: This tool is simple to deploy and implement, as noted by 75% of reviewers mentioning the implementation process.
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Embedded Analytics Made Easy: Qrvey simplifies embedding analytics into existing applications, allowing developers to focus on core product development instead of getting bogged down with complex analytics integrations.
No-Code/Low-Code Flexibility: Qrvey caters to both technical and non-technical users. Its intuitive drag-and-drop interface empowers users to build interactive dashboards and reports without writing a single line of code, while still providing advanced scripting capabilities for developers who need them.
Seamless Data Integration: Qrvey connects to a wide range of data sources, from databases and spreadsheets to cloud services and APIs, making it easy to centralize data and gain a holistic view of your business.
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Learning Curve: Around 63% of reviewers who mention the learning curve report that it has a steep learning curve for non-technical users.
User Interface: Its user interface can be confusing because of the multiple options and features available, as noted by over 54% of reviewers that mentioned the user interface.
Limited Queries: All users who refer to queries state that composing and joining queries is limited.
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Limited Customization: Users have expressed frustration with the platform's limited ability to customize the look and feel of embedded dashboards, making it challenging to seamlessly integrate them into existing applications.
Steep Learning Curve: Some users have reported that Qrvey's interface and features can be complex to grasp initially, requiring significant time and effort to become proficient.
Performance Issues: There have been instances where users have encountered performance bottlenecks, particularly when dealing with large datasets or complex queries, leading to slow loading times and a less than ideal user experience.
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Zoho Analytics is a BI and data analytics software platform that helps users visually analyze data, create visualizations and get a deeper understanding of raw data. It helps users generate dynamic, highly customizable and actionable reports and allows integration with multiple platforms for achieving greater insights. Its multifaceted and customizable dashboards can enhance the user experience. However, many reviewers have reported that the user-interface can be confusing to use with the many options and features available. Also, it has a steep learning curve, and non-technical users might find it difficult to use in the beginning. Overall, it is a user-friendly platform that enables effortless data handling.

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User reviews from the past year paint a mixed picture of Qrvey. While many appreciate its intuitive drag-and-drop interface, robust data visualization capabilities, and seamless integration with existing applications, some users have expressed concerns about its pricing model and occasional performance hiccups. Qrvey shines when it comes to its no-code approach, allowing users to build complex analytics dashboards without writing a single line of code. This is particularly valuable for businesses that lack dedicated data science teams, as it empowers non-technical users to generate insights independently. However, some users have noted that Qrvey's pricing, which is based on data volume, can become prohibitive for organizations dealing with large datasets. Additionally, while generally praised for its performance, some users have reported occasional slowdowns, particularly when handling complex queries or large datasets. Qrvey's strength lies in its ability to democratize data analytics, making it accessible to a wider audience within an organization. Its no-code platform and intuitive design make it ideal for businesses looking to empower non-technical users to explore data and generate insights. However, organizations dealing with massive datasets might find its pricing structure less appealing, and occasional performance issues might require some patience.

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Screenshots

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