Software Alternatives & Reviews

Phocas VS Qrvey

Compare Phocas VS Qrvey and see what are their differences

Phocas logo Phocas

Data analytics software for businesses in wholesale distribution, manufacturing, and retail.

Qrvey logo Qrvey

Embedded Analytics built exclusively for SaaS applications.
Visit Website
  • Phocas Landing page
    Landing page //
    2023-05-11
  • Qrvey Landing page
    Landing page //
    2023-11-21

Qrvey is the only purpose-built solution for embedded analytics

Designed for external use cases where SaaS companies need to provide their customers with powerful and customizable analytics capabilities.

Qrvey is the only full stack solution that offers all the embedded visualization and self-service analytics tools along with a unified data pipeline that offers a data lake optimized for multi-tenant analytics.

Qrvey's embedded visualizations empower engineering teams to build custom experiences, along with full white labeling and CSS customization options to make Qrvey’s javascript widgets blend seamlessly into a SaaS application. ⋅⋅* Qrvey’s data-driven automation workflows enable the creation of complex workflows based on data triggers, such as conditional logic, nested functions, data write-backs with notification integrations to third party systems such as Slack. ⋅⋅* Qrvey supports natural language querying of data using generative AI to easily spot trends and outliers, augmented analysis capabilities. ⋅⋅* Qrvey also supports pixel perfect reporting to generate printable reports from the same analytics data.

Qrvey simplifies data management by providing a single data pipeline solution featuring a data lake solution that is optimized for multi-tenant analytics. This contains native data connectors and APIs to ingest data in any type from any source, including real-time data with live connections. ⋅⋅* Qrvey’s semantic layer can inherit and map security models from your multi-tenant SaaS application, saving software development teams the hassle of duplicating users and roles. ⋅⋅* Qrvey’s robust API allows you to create data delivery services and managed download functions that go beyond basic exporting.

Qrvey is the only complete software solution for embedded analytics that offers SaaS companies the best of both worlds: flexibility and functionality.

Phocas

Categories
  • Data Dashboard
  • Business Intelligence
  • Data Visualization
  • Sales Tools
Website phocassoftware.com
Pricing URL-
Details $-
Platforms
-

Qrvey

Categories
  • Business Intelligence
  • Analytics
  • Embedded Analytics
  • Infused Analytics
  • AWS Tools
Website qrvey.com
Pricing URL Official Qrvey Pricing
Details $paid Free Trial
Platforms
Amazon

Phocas features and specs

No features have been listed yet.

Qrvey features and specs

  • Embedded Dashboards: Yes
  • Embedded Dashboard Builders: Yes
  • Embedded Single Charts/Metrics: Yes
  • Embedded Single Chart/Metric Builder: Yes
  • Data Warehouse: Yes
  • ETL: Yes
  • Alerts and Automation: Yes
  • Embedded Pixel-Perfect Reports: Yes
  • Native Multi-Tenant Data Security: Yes
  • Tenant Specific Content Deployment: Yes
  • Prebuilt Data Connectors (Redshift, PostgreSQL, Snowflake, etc): Yes

Phocas videos

Hairphocas Wig Review | Pixie Cut Wigs Short Stylish Fluffy Layered Wig | Amazon | FT. Hairphocas

More videos:

  • Review - Phocas 4-minute miracle (Australia/New Zealand) - business intelligence video
  • Review - Phocas 4-minute miracle (North America) - business intelligence video

Qrvey videos

Qrvey Embedded Analytics Demo

More videos:

  • Demo - Qrvey Intro Video

Category Popularity

0-100% (relative to Phocas and Qrvey)
Data Dashboard
49 49%
51% 51
Business & Commerce
100 100%
0% 0
Development
42 42%
58% 58
Business Intelligence
40 40%
60% 60

Questions and Answers

As answered by people managing Phocas and Qrvey.

How would you describe your primary audience?

Qrvey's answer:

Product Leaders that include Product Management and Engineering Teams and CEO/CTO/CPOs of B2B SaaS Companies

Why should a person choose your product over its competitors?

Qrvey's answer:

Customers choose Qrvey for the following reasons:

  • Built for SaaS companies so that's the only focus
  • Fully embeddable that enables customization of the end user experience
  • Flat rate licensing with unlimited users, dashboards, and deployments to developer environments
  • Highly rated customer success and support

What makes your product unique?

Qrvey's answer:

Qrvey's approach to embedded analytics is different. Qrvey combines the best of BI, data warehousing, and data visualization into a single solution built exclusively for SaaS applications.

Qrvey's key features include:

  • 100% Embeddability - Everything is embeddable with JS based components that supports full white labeling so you can create unique analytics experiences within your SaaS application.

  • Data Warehouse included - Visualizations are useless without a scalable data layer built specifically for analytics use cases. Qrvey includes native multi-tenant support so your data is ready for your multi-tenant SaaS application. This includes data syncing and API support that allows for any type of data to be ingested into the Qrvey data layer.

  • Self-Hosted - Deployed to Your AWS Environment. Customers get ultimate control as Qrvey is deployed to their AWS environment inheriting and respecting their security policies. Your data never leaves, but it's ready for analytics now.

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Phocas and Qrvey

Phocas Reviews

We have no reviews of Phocas yet.
Be the first one to post

Qrvey Reviews

10 Best Big Data Analytics Tools For Reporting In 2022
Qrvey is an embedded analytics platform used for SaaS data, analytics, and automation technologies. You can deploy it right into your pre-existing AWS account in order to visualize your entire data pipeline. Their start-ups package includes specialized support for pre-launch or early-launch companies, like quick installation and launch, serverless analytics scalability,...
Source: theqalead.com
Top 5 Embedded Analytics Tools for Amazon Redshift (Plus 1 Bonus Option)
Qrvey is an embedded analytics and automation tool designed specifically for SaaS applications. It connects directly to AWS and offers an all-in-one platform that includes data collections, analysis, visualizations, automation, and more.
Source: yurbi.com

Social recommendations and mentions

Based on our record, Qrvey seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Phocas mentions (0)

We have not tracked any mentions of Phocas yet. Tracking of Phocas recommendations started around Mar 2021.

Qrvey mentions (1)

  • Looking for an embedded report builder solution that doesn't require giving a third-party access to the data
    Since you're on AWS already, check out https://qrvey.com. Source: 5 months ago

What are some alternatives?

When comparing Phocas and Qrvey, you can also consider the following products

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

DevicePilot - DevicePilot is a universal cloud-based software service allowing you to easily locate, monitor and manage your connected devices at scale.

Domo - Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.

AnswerRocket - AnswerRocket is a search-powered analytics that makes it possible to get answers from business data by asking natural language questions.

QlikSense - A business discovery platform that delivers self-service business intelligence capabilities

Syndigo - Syndigo is an online management platform that provides access to the world’s biggest global content database of digital information.