AskNed vs Microsoft SSRS

Overview

Microsoft SSRS

Stacks96

Followers138

Votes0

AskNed

Stacks7

Followers14

Votes14

AskNed vs Microsoft SSRS: 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, Microsoft SSRS is detailed as "*A server-based report generating software system *". It provides a set of on-premises tools and services that create, deploy, and manage mobile and paginated reports.

AskNed and Microsoft SSRS can be categorized as "Business Intelligence" tools.

According to the StackShare community, Microsoft SSRS has a broader approval, being mentioned in 4 company stacks & 10 developers stacks; compared to AskNed, which is listed in 3 company stacks and 4 developer stacks.

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CLI (Node.js)

Manual

Detailed Comparison

Microsoft SSRS	AskNed
It provides a set of on-premises tools and services that create, deploy, and manage mobile and paginated reports. It delivers the right information to the right users.	AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.
"Traditional" paginated reports; New mobile reports; A modern web portal	Analytics Platform, NLP Technology, Enterprise Data Analytics
Statistics
Stacks 96	Stacks 7
Followers 138	Followers 14
Votes 0	Votes 14
Pros & Cons
No community feedback yet	Pros 3 Easy to use 3 Fast implementation 2 Good price 2 Awesome support 2 Super simple
Integrations
Microsoft SQL Server	No integrations available

What are some alternatives to Microsoft SSRS, AskNed?

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.