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  4. Business Intelligence
  5. AskNed vs Knowi

AskNed vs Knowi

OverviewComparisonAlternatives

Overview

AskNed
AskNed
Stacks7
Followers14
Votes14
Knowi
Knowi
Stacks3
Followers14
Votes0

AskNed vs Knowi: 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 Knowi? AI Driven Analytics on Modern Data. It combines Business Intelligence with integrated machine learning for advanced analytics, reporting and visualizations on structured and unstructured data.

AskNed and Knowi belong to "Business Intelligence" category of the tech stack.

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Detailed Comparison

AskNed
AskNed
Knowi
Knowi

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

It combines Business Intelligence with integrated machine learning for advanced analytics, reporting and visualizations on structured and unstructured data.

Analytics Platform, NLP Technology, Enterprise Data Analytics
Native NoSQL, SQL, REST API; Cloud or On-premise Deployment; Instant Visual Insights; NLP, Machine Learning, Predictions and Triggers
Statistics
Stacks
7
Stacks
3
Followers
14
Followers
14
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
Google Analytics
Google Analytics
MongoDB
MongoDB
Oracle
Oracle
InfluxDB
InfluxDB
MySQL
MySQL
Elasticsearch
Elasticsearch
MarkLogic
MarkLogic
HBase
HBase

What are some alternatives to AskNed, Knowi?

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.

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.

Periscope

Periscope

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

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