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  1. Stackups
  2. Utilities
  3. Business Intelligence
  4. Predictive Analytics
  5. Framed Data vs Periscope

Framed Data vs Periscope

OverviewComparisonAlternatives

Overview

Framed Data
Framed Data
Stacks2
Followers14
Votes0
Periscope
Periscope
Stacks45
Followers94
Votes10

Framed Data vs Periscope: What are the differences?

Developers describe Framed Data as "Find out how your users behave and get notified when they're about to leave". Framed helps you retain subscribers by understanding their behavior. Do you know why your users are leaving? Do you know why your users love your app? Framed does. Our automated predictive analytics platform runs a battery of machine learning models on your data to predict future user behavior. Know the exact point at which a user decides to stay with your product. On the other hand, Periscope is detailed as "Periscope plugs directly into your database and lets you run, save and share analyses over billions of data rows in seconds". Periscope is a data analysis tool that uses pre-emptive in-memory caching and statistical sampling to run data analyses really, really fast.

Framed Data can be classified as a tool in the "Predictive Analytics" category, while Periscope is grouped under "Business Intelligence".

Some of the features offered by Framed Data are:

  • Painless data upload.
  • Identify retention triggers and tipping points.
  • High value, high impact reports and data.

On the other hand, Periscope provides the following key features:

  • Beautiful Visualizations
  • Expert Query Tools
  • Seamless Sharing

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Detailed Comparison

Framed Data
Framed Data
Periscope
Periscope

Framed helps you retain subscribers by understanding their behavior. Do you know why your users are leaving? Do you know why your users love your app? Framed does. Our automated predictive analytics platform runs a battery of machine learning models on your data to predict future user behavior. Know the exact point at which a user decides to stay with your product.

Periscope is a data analysis tool that uses pre-emptive in-memory caching and statistical sampling to run data analyses really, really fast.

Painless data upload.;Identify retention triggers and tipping points.;High value, high impact reports and data.
Beautiful Visualizations;Expert Query Tools;Seamless Sharing
Statistics
Stacks
2
Stacks
45
Followers
14
Followers
94
Votes
0
Votes
10
Pros & Cons
No community feedback yet
Pros
  • 6
    Great for learning and teaching people SQL
  • 4
    Gorgeous "share-able" and "embeddable" dashboards

What are some alternatives to Framed Data, Periscope?

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Superset

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Power BI

Power BI

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Mode

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

Shiny

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Redash

Redash

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

Azure Synapse

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

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