Microsoft SQL Server Reporting Services vs AskNed

Overview

Microsoft SQL Server Reporting Services

Stacks44

Followers30

Votes0

AskNed

Stacks7

Followers14

Votes14

AskNed vs Microsoft SQL Server Reporting Services: What are the differences?

What is AskNed? 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.

What is Microsoft SQL Server Reporting Services? A set of on-premises tools and services that create, deploy, and manage mobile and paginated reports. 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 and Microsoft SQL Server Reporting Services can be primarily classified as "Business Intelligence" tools.

Workhub, Getinge IT Solutions ApS, and Business Logic are some of the popular companies that use Microsoft SQL Server Reporting Services, whereas AskNed is used by Unvolve, AskNed, and RSG Media. Microsoft SQL Server Reporting Services has a broader approval, being mentioned in 10 company stacks & 10 developers stacks; compared to AskNed, which is listed in 3 company stacks and 4 developer stacks.

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Detailed Comparison

Microsoft SQL Server Reporting Services	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 44	Stacks 7
Followers 30	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 SQL Server Reporting Services, 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.