AskNed vs SplashBI Comparison | StackShare | StackShare

AskNed vs SplashBI

Overview

AskNed

Stacks7

Followers14

Votes14

SplashBI

Stacks1

Followers6

Votes0

AskNed vs SplashBI: What are the differences?

Developers describe AskNed as "Get answers from your data by just typing questions". AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English. On the other hand, SplashBI is detailed as "A Business Intelligence and Analytics platform that empowers users to make data-driven business quickly!". It empowers organizations to understand the full story behind their data through our business analytics platform. We help organizations in making data-driven decisions by providing them with the necessary actionable intelligence – Anywhere or Anytime.

AskNed and SplashBI can be primarily classified as "Business Intelligence" tools.

Detailed Comparison

AskNed	SplashBI
AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.	It empowers organizations to understand the full story behind their data through our business analytics platform. We help organizations in making data-driven decisions by providing them with the necessary actionable intelligence – Anywhere or Anytime.
Analytics Platform, NLP Technology, Enterprise Data Analytics	Data Integration – Combine Data with Ease; Redefine ad hoc reporting – Generate powerful reports; Data Visualizations and dashboards; Get Actionable Intelligence Anytime, anywhere; Pre-built dashboards & reporting to get started quickly; It is offered on both on-cloud and on-premise
Statistics
Stacks 7	Stacks 1
Followers 14	Followers 6
Votes 14	Votes 0
Pros & Cons
Pros 3 Easy to use 3 Fast implementation 2 Good price 2 Awesome support 2 Super simple	No community feedback yet
Integrations
No integrations available	Microsoft Excel

What are some alternatives to AskNed, SplashBI?

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'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: 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.

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.