Skimle vs Superset

Overview

Superset

Stacks420

Followers1.0K

Votes45

Skimle

Stacks0

Followers1

Votes1

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Skimle Business Intelligence

Skimle

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Detailed Comparison

Superset	Skimle
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.	Skimle helps researchers, analysts and consultants turn interviews, reports and other qualitative data into structured insights. Upload your PDFs, documents, audio, video or other data and have our tool analyse them, extract themes and build a transparent and editable Skimle table showing insights for each category from each document with transparent quotes. You can edit and analyse the spreadsheet together with our AI tool and then export to your tool of choice including Word, Excel and Powerpoint slides. Skimle is used by consultants (e.g., due diligence), market researchers (e.g., group interview analysis), academics (e.g., thematic analysis), public sector (e.g., policy feedback analysis), legal professionals (e.g., litigation discovery) and other knowledge workers wanting to harness responsible AI to improve the depth and speed of their work.
A rich set of visualizations to analyze your data, as well as a flexible way to extend the capabilities;An extensible, high granularity security model allowing intricate rules on who can access which features, and integration with major authentication providers (database, OpenID, LDAP, OAuth & REMOTE_USER through Flask AppBuiler);A simple semantic layer, allowing to control how data sources are displayed in the UI, by defining which fields should show up in which dropdown and which aggregation and function (metrics) are made available to the user;Deep integration with Druid allows for Caravel to stay blazing fast while slicing and dicing large, realtime datasets;	Upload interviews, transcripts, reports, PDFs, audio, or video (100+ languages supported), AI analyses each document and identifies key insights, Insights are automatically organized into 20-30 thematic categories, View all data in intuitive spreadsheet-like interface showing what each document says about each theme with full transparency, Edit, merge, split, or reorganize categories to match your analytical framework, Export organized insights with supporting quotes to your desired format (Word reports, Excel tables, PowerPoint slides etc.)
Statistics
Stacks 420	Stacks 0
Followers 1.0K	Followers 1
Votes 45	Votes 1
Pros & Cons
Pros 13 Awesome interactive filtering 9 Free 6 Wide SQL database support 6 Shareable & editable dashboards 5 Great for data collaborating on data exploration Cons 4 Link diff db together "Data Modeling " 3 It is difficult to install on the server 3 Ugly GUI	No community feedback yet

What are some alternatives to Superset, Skimle?

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.

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

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

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

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

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 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

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.