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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.
M3O QrveyNo 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, M3O should be more popular than Qrvey. It has been mentiond 9 times since March 2021. 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.
Email: dobronszki@gmail.com Spent the last 10 years mostly working with microservices and Go based startups, although I would not recommend microservices to most companies. I can save you a few million dollars if you wonder why. I'm most passionate about improving DevEx in companies. Things like writing custom ORMs for lesser known/supported databases (see eg. https://github.com/gocassa/gocassa product with the... - Source: Hacker News / over 1 year ago
It's like API indexing, I like it. I started M3O (https://m3o.com) with this idea of API aggregation for absolutely everything but not specifically indexing, more so providing a uniform access layer to all things with one API token. The programmability of Nango will definitely a be a selling point. For the founders, focus on that, double down on that. The ability to program the APIs and the data retrieved is... - Source: Hacker News / over 1 year ago
What if any is the relationship between https://m3o.com/ and https://micro.dev/ ? - Source: Hacker News / over 1 year ago
Yup, I was the author of go-micro. It was very much a standalone Go framework aka common interfaces grouped together for distributed systems development. By using interfaces they effectively became pluggable abstractions for infrastructure. Unfortunately I don't think a Go library alone solves the problems I was trying to solve so it got merged into Micro which is platform that includes a CLI, API, Runtime, etc.... - Source: Hacker News / over 1 year ago
It goes back to, what is a framework and what qualifies as a big framework here. I think classic rails isn't the fit, but something that's an extension of gRPC definitely works. What gets handcrafted is a lot of layers around gRPC or far more stuff around HTTP. When I'm working on personal projects, frameworks don't make sense for me. When I'm trying to engineer something at scale e.g https://m3o.com then I need... - Source: Hacker News / over 1 year ago
Since you're on AWS already, check out https://qrvey.com. Source: 5 months ago
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