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What is Qrvey?

Qrvey stands out as the sole provider of embedded analytics that features an integrated data lake. This innovative solution allows engineering teams to save both time and resources by seamlessly linking their data warehouse to their SaaS application through a ready-to-use platform. Qrvey's comprehensive full-stack offering equips engineering teams with essential tools, reducing the need for in-house software development. It is specifically designed for SaaS companies eager to enhance the analytics experience for multi-tenant environments. The advantages of Qrvey's solution include: - An integrated data lake powered by Elasticsearch, - A cohesive data pipeline for the ingestion and analysis of various data types, - An array of embedded components designed entirely in JavaScript, eliminating the need for iFrames, - Customization options that allow for tailored user experiences. With Qrvey, organizations can focus on developing less software while maximizing the value they deliver to their users, ultimately transforming their analytics capabilities. This empowers companies to foster deeper insights and improve decision-making processes.

What is Driven?

We are committed to improving our Cloud service with each update, ensuring that you can quickly access all the innovative features we have rolled out. By deploying the Driven Agent, you can watch your applications thrive in the Driven Cloud environment. Nonetheless, having various teams utilizing a single platform can introduce security and performance issues. Our ability to categorize applications and securely separate data by teams effectively brings organization to the complexities of operating in a multi-tenant setting. In as little as two minutes, you can grasp the key features of DRIVEN, the APM designed for Big Data applications. Learn how to enhance the quality and dependability of the applications you develop, which ultimately leads to better service for your business across all your Big Data operations. DRIVEN equips organizations to manage their multi-tenant Hadoop ecosystem efficiently by organizing it according to teams, application technology, clusters, and more, which fosters collaboration and increases efficiency throughout the organization. This method not only streamlines operations but also significantly elevates productivity levels among teams, allowing for more effective project execution and resource utilization.

Media

Media

Integrations Supported

Amazon Athena
Amazon DynamoDB
Amazon Redshift
Amazon Rekognition
Amazon S3
Amazon Web Services (AWS)
JSON
Microsoft Azure
MongoDB
MySQL
Oracle Database
PostgreSQL
QuickBooks Online
SQL Server
Snowflake

Integrations Supported

Amazon Athena
Amazon DynamoDB
Amazon Redshift
Amazon Rekognition
Amazon S3
Amazon Web Services (AWS)
JSON
Microsoft Azure
MongoDB
MySQL
Oracle Database
PostgreSQL
QuickBooks Online
SQL Server
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$500 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Qrvey

Date Founded

2016

Company Location

United States

Company Website

qrvey.com/

Company Facts

Organization Name

Driven

Date Founded

2008

Company Location

United States

Company Website

www.driven.io

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Business Intelligence

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Dashboard

Annotations
Data Source Integrations
Functions / Calculations
Interactive
KPIs
OLAP
Private Dashboards
Public Dashboards
Scorecards
Themes
Visual Analytics
Widgets

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Embedded Analytics

Ad hoc Query
Application Development
Benchmarking
Dashboard
Interactive Reports
Mobile Reporting
Multi-User Collaboration
Self Service Analytics
Streaming Analytics
Visual Workflow Management

IoT Analytics

Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Reporting

Customizable Dashboard
Data Source Connectors
Drag & Drop
Drill Down
Email Reports
Financial Reports
Forecasting
Marketing Reports
OLAP
Report Export
Sales Reports
Scheduled / Automated Reports

Categories and Features

Application Performance Monitoring (APM)

Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions

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