bipp Analytics
Tableau
Marple
Microsoft Power BI
Sisense
Looker
Qlik
Metabase
Qrvey
DevicePilot
AnswerRocket
Syndigo
Amdocs CES
Yellowfin
Toucan Toco
Omniscope
bipp is a modern business intelligence platform that lets you explore billions of records in real-time based on trusted data models. Our enterprise-grade, in-database, cloud BI platform was developed to save data and BI analysts’ time and develop insights faster. It leverages SQL and is powered by the bippLang data modeling language, which supports collaboration, git-based version control, and re-usable data models.
Business users can use bipp to build and explore ad hoc reports on their own. They can slice and dice data and create visualizations, with updates reflected in real-time. Insights can then be easily shared across their organizations.
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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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, bipp Analytics should be more popular than Qrvey. It has been mentiond 4 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.
You can take any DBMS and use its SQL docs, I recommend PostgreSQL SQL docs which [i guess] is the 9th chapter of PostgreSQL docs. You can also do a SQL course at bipp.io. Source: over 2 years ago
You can try this type of chart - https://bipp.io/img/home/Designed-for-SQL-Analysts-from-the-ground-up.png (see also the description of a free BI tool where it was implemented - https://bipp.io ). Source: about 3 years ago
To build such a dashboard, you can also use Bipp Analytics as a more affordable Looker alternative - the entire platform and its bippLang data modeling language are very similar to Looker and LookML - here is how such a dashboard looks like in it: https://bipp.io/img/home/Designed-for-SQL-Analysts-from-the-ground-up.png. Source: about 3 years ago
We at bipp.io have been internally debating about open sourcing our platform for quite a while. Source: about 3 years ago
Since you're on AWS already, check out https://qrvey.com. Source: 5 months ago
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