After a user is logged in, they are directed to the Applications page, which serves as a Home page and displays all the Qrvey applications available to them. While navigating the app, a user can return to this page by clicking the home icon in the upper left corner of the Qrvey Composer user interface.
This page describes how to deploy a new Qrvey MultiPlatform Environment in Azure.
Before You Begin: Identify any custom roles assigned to your Serverless instance for Redshift, Snowflake, or Postgres. Locate the dataloaddrDataSourcePump serverless instance Lambda, replacing instanceId with the instance ID of your Qrvey platform. Select Configuration > Permissions and open the execution role in a new window. Identify and open any custom policies related to the Redshift, Snowflake, or Postgres databases so the information can be retrieved later.
A Connection is a link established between Qrvey and an external data source.
This page describes the process and requirements for deploying a new Qrvey MultiPlatform Environment in AWS.
Introduction
The Infrastructure page of the Qrvey Admin Center enables you to view, monitor, and manage the configuration of your Elasticsearch cluster.
This article contains frequently asked questions organized by user persona.
Before Creators can use the OpenID provider to log in, you must set up your OpenID provider account in order to obtain the OAuth 2.0 credentials: clientid, Client Secret, Realm; set a redirect URL (Return URL); and optionally, customize the branding information that creators will see on the user-consent screen.
The Health Dashboard in Qrvey Admin Center provides an easy-to-read status of the health of the Elasticsearch cluster in this instance of the Qrvey platform.
Introduction
Qrvey platform supports internationalization and localization for end users in a comprehensive manner. Multi-lingual support is offered for both “static” and “dynamic” text, as well as formatting of numbers and dates based on regions and cultures.
The Qrvey platform is an all-in-one analytics solution that enables SaaS providers to put cutting-edge analytics into the hands of their users. This article contains essential information required to understand how to work with the Qrvey platform.
This document explains the process for migrating from Qrvey Platform V8 (AWS Serverless) to V9 (AWS Kubernetes). After you've started the migration process, you can use the Configure Redshift, Snowflake, and Postgres during Migration documentation to setup those connections as well.
This video discusses multi-tenancy architecture of the Qrvey platform for SaaS organizations. Includes a demonstration of a parent application that embeds a Qrvey application in a multi-tenant environment. Topics covered include:
Before Creators can use the OpenID provider to log in, you must set up your OpenID provider account in order to obtain the OAuth 2.0 credentials: clientid, Client Secret, Realm; set a redirect URL (Return URL); and optionally, customize the branding information that creators will see on the user-consent screen.
AWS Deployment
Azure Architecture
For very large or long-running queries in Postgres, processing may take several minutes to start. To expedite this process, you can enable the "Export Data to S3 to Support Larger Data Loads" option. When selected, the query output is sent to S3, from where Qrvey retrieves the data. This option is available when the Host URL points to an AWS RDS Postgres instance located in the same AWS region as Qrvey.
The steps below detail how to configure Qrvey to access Redshift clusters for loading data into Qrvey for data analysis. These changes allow Qrvey to access the cluster and enable the cluster to export data to S3 for access by Qrvey.
Upgrade Note: If you are planning to upgrade to a newer version of Qrvey, please read through the upgrade and release notes on all prior versions, as they may contain platform changes that must be accounted for in the development process. For those planning to upgrade to version 9 of Qrvey from an "8.x" version, please read through the upgrade and release notes on all prior versions, as they may contain platform changes that must be accounted for in the development process. Then you can can follow the steps outlined in V8 to V9 Migrations (AWS).
This document explains the steps required to securely access your AWS RDS instance and load data into the Qrvey Business Analytics platform.
Snowflake is a compute-based warehouse software built on top of Amazon Web Services (AWS) or Microsoft Azure infrastructure. This document explains how to configure a connection to this platform.
Snowflake is a compute-based warehouse software built on top of Amazon Web Services or Microsoft Azure Infrastructure. It’s similar to our Qrvey product but functions more like a SaaS (Software as a Service) platform, without offering the unique benefits of our product. This document specifies how to configure and use the Snowflake connector.
The Qrvey platform enables end users to display dates and times in their local time zone. The Qrvey platform stores data in UTC/GMT+0 and adjusts the time displayed to the end user based on their preferred settings. The default time zone setting is specified in Qrvey Admin Center, but it can be overridden programmatically. The possible settings are: