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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Product Leaders that include Product Management and Engineering Teams and CEO/CTO/CPOs of B2B SaaS Companies
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Customers choose Qrvey for the following reasons:
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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, Parse seems to be a lot more popular than Qrvey. While we know about 20 links to Parse, 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.
Since you're on AWS already, check out https://qrvey.com. Source: 5 months ago
Backend as a Service (BaaS) goes back to early 2010’s with companies like Parse and Firebase. These products integrated everything a backend provides to a webapp in a single, integrated package that makes it easier to get started and enables you to offload some of the devops maintenance work to someone else. - Source: dev.to / 3 months ago
Parse Server is a great way to quickly spin up a backend for your project. Parse is a Node based utility that sits on top of ExpressJS. - Source: dev.to / over 1 year ago
You can try https://parseplatform.org/, it is self-hosted if you need. And also there are a number of cloud services with compatible API, like https://www.back4app.com/ It has dart-friendly generated API client, much simpler than firebase and is built on top of postgresql and mongodb. Source: over 1 year ago
Not to crash the party or anything. Supabase is great and all but in terms of feature completeness and getting actual products built, it doesn't come close to Parse[0]. Same with Appwrite. Both of these are very popular but they either lack essential features or have them behind a subscription wall. For example, the OSS version of Supabase (last I checked) doesn't include the edge functions which are really... - Source: Hacker News / over 1 year ago
I was regular user of Parse and after it became open-source I have built around 5-6 projects using Parse, two of them is with Flutter, but that's 1-2 years ago, and back then their Flutter SDK was a bit weak and unofficial, but currently Flutter SDK became official and I am about to start a new project, now I am considering another option AppWrite. Anyone used both and let me know how AppWrite compares to Parse?... Source: almost 2 years ago
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