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.
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Website | dataloader.io |
Pricing URL | Official dataloader.io Pricing |
Details $ | - |
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Website | qrvey.com |
Pricing URL | Official Qrvey Pricing |
Details $ | paid Free Trial |
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No features have been listed yet.
Qrvey's answer:
Product Leaders that include Product Management and Engineering Teams and CEO/CTO/CPOs of B2B SaaS Companies
Qrvey's answer:
Customers choose Qrvey for the following reasons:
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.
Based on our record, dataloader.io seems to be a lot more popular than Qrvey. While we know about 27 links to dataloader.io, we've tracked only 1 mention of Qrvey. 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.
Love https://dataloader.io/ Free for up to 10k records a month! Source: 10 months ago
I still can't believe what horse shit Data Loader is. They even own a much better product with dataloader.io but won't make it free even though data movement is integral to a useful database. Source: about 1 year ago
Check to make sure you're actually on the once a month limit. Our org we can do weekly data exports. You can also export your objects by reports, dataloader.io (with limits), and some other tools. Depending on the data's final destination, it may be worth keeping some Salesforce licenses and seeing if you can transfer/sync data via APIs or middleware tools rather than do it manually. Talk to the vendor of whatever... Source: over 1 year ago
Does either dataloader.io or data import wizard allow for custom logic? I'm matching the contact by full name and crd#. The logic I want to introduce is where contact's field: "platform" = envestnet. Or should I be thinking about creating a flow that will handle the logic to match the contacts from my spreadsheet? Source: over 1 year ago
I think dataloader.io and def dataimporter.io offer name match. Up to 10k (or 20k for the latter) records/mo free. Source: over 1 year ago
Since you're on AWS already, check out https://qrvey.com. Source: 5 months ago
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