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Enterprise Layer Intelligence
Categories/Business Intelligence/Qrvey
Qrvey

Qrvey

Founded 2020

Embed custom dashboards, data visualizations, and automated workflows directly inside your SaaS application

You can use Qrvey to build and embed interactive analytics dashboards, data reports, and automated workflows directly inside your multi-tenant web applications. It lets your software users analyze metrics, run custom queries, and trigger automated alerts without contacting engineering. The system runs inside your cloud environment and connects directly to databases like Postgres, Snowflake, or MongoDB. You can white-label charts to match your brand, enforce tenant security at the row or column level, and provide natural language query assistants to answer complex customer data requests.

What Qrvey does

Embed interactive data visualization widgets into web applicationsConfigure row and column level data security rules for tenantsConnect PostgreSQL, Snowflake, and MongoDB data pipelinesBuild automated alert workflows triggered by metric changesGenerate white-label PDF reports from live application dataDeploy multi-tenant analytics infrastructure inside AWS or Azure VPCsSet up natural language prompt interfaces for end-user data explorationDirect deployment in customer cloud VPC across AWS, Azure, or GCPMulti-tenant security isolation at row, column, and object levelsWhite-label interactive dashboards and pixel-perfect reportsNatural language querying using private or external large language modelsBuilt-in data lake and data pipeline for relational and NoSQL databasesVisual workflow builder to trigger alerts and webhooks from metricsFlat-rate licensing without per-seat or per-tenant fees

Frequently asked

PostgreSQLPostgreSQLSnowflakeSnowflakeMongoDBMongoDBMicrosoft AzureMicrosoft AzureGoogle CloudGoogle CloudOpenAIOpenAI

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Qrvey, embedded analytics, SaaS analytics, customer-facing analytics, multi-tenant dashboards, business intelligence, data visualization, self-service reporting, workflow automation, natural language queries, multi-tenant data lake, white-label dashboards, AWS analytics, Snowflake analytics, Postgres data pipeline, embedded BI