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  5. Amazon Quicksight vs Periscope

Amazon Quicksight vs Periscope

OverviewComparisonAlternatives

Overview

Periscope
Periscope
Stacks45
Followers94
Votes10
Amazon Quicksight
Amazon Quicksight
Stacks207
Followers394
Votes5

Amazon Quicksight vs Periscope: What are the differences?

Introduction

In this article, we will discuss the key differences between Amazon Quicksight and Periscope, two popular business intelligence tools.

  1. Data Source Integration: Amazon Quicksight provides seamless integration with various data sources such as Amazon Redshift, Amazon Aurora, Amazon S3, and more. It offers a wide range of connectors that facilitate easy access to data from different sources. On the other hand, Periscope allows integration with popular data sources like MySQL, PostgreSQL, and Redshift, but it may require additional configuration for connecting with other external sources.

  2. Ease of Use: Quicksight offers a user-friendly interface with a drag and drop functionality that allows users to create interactive visualizations and dashboards quickly. It provides a simplified data exploration experience through its intuitive tools. Periscope also offers a user-friendly interface, but it may require a bit more technical expertise to fully utilize its features.

  3. Collaboration and Sharing: Quicksight provides robust collaboration features, allowing users to share interactive dashboards, reports, and analyses with other team members easily. It also offers fine-grained access control to manage permissions for different users. Periscope also enables collaboration through shared dashboards and real-time collaboration features. However, Quicksight's collaboration capabilities are more comprehensive and provide better control over data access.

  4. Advanced Analytics Capabilities: Quicksight offers advanced analytics capabilities like machine learning-powered anomaly detection, forecasting, and natural language processing. These features enable users to derive deeper insights from data and make more informed decisions. Periscope, on the other hand, focuses more on basic analytics and visualization capabilities and may not provide these advanced analytical features.

  5. Cost Structure: Quicksight follows a pay-per-use pricing model, where users are charged based on the number of users and the volume of data processed. It offers a more cost-efficient solution for smaller organizations or businesses with fluctuating data volumes. Periscope, on the other hand, has a more traditional pricing structure, which may be more suitable for medium to large enterprises with a predictable and stable data volume.

  6. Data Governance and Security: Quicksight provides robust data governance and security features, including encryption in transit and at rest, fine-grained access control, and integration with AWS Identity and Access Management (IAM). It ensures the highest level of data protection and compliance. Periscope also provides security features like role-based access control, but it may not be as robust as Quicksight in terms of compliance and encryption capabilities.

In summary, Amazon Quicksight and Periscope have several key differences. Quicksight offers seamless integration with various data sources, a user-friendly interface, robust collaboration capabilities, advanced analytics capabilities, a flexible cost structure, and strong data governance and security features. Periscope, on the other hand, may require additional configuration for data source integration, offers a user-friendly interface with slightly less advanced analytics capabilities, provides collaboration features, and has a more traditional pricing model.

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Detailed Comparison

Periscope
Periscope
Amazon Quicksight
Amazon Quicksight

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

Amazon QuickSight is a fast, cloud-powered business analytics service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data.

Beautiful Visualizations;Expert Query Tools;Seamless Sharing
Pay-per-session pricing; Deliver rich, interactive dashboards for your readers; Explore, analyze, collaborate; SPICE (super-fast, parallel, in-memory, calculation engine); ML Insights
Statistics
Stacks
45
Stacks
207
Followers
94
Followers
394
Votes
10
Votes
5
Pros & Cons
Pros
  • 6
    Great for learning and teaching people SQL
  • 4
    Gorgeous "share-able" and "embeddable" dashboards
Pros
  • 1
    Super cheap
  • 1
    Better integration with aws
  • 1
    More features (table calculations, functions, insights)
  • 1
    Good integration with aws Glue ETL services
  • 1
    Dataset versionning
Cons
  • 1
    Very basic BI tool
  • 1
    Only works in AWS environments (not GCP, Azure)
Integrations
No integrations available
Amazon RDS
Amazon RDS
Amazon S3
Amazon S3
Amazon Aurora
Amazon Aurora
Amazon Redshift
Amazon Redshift

What are some alternatives to Periscope, Amazon Quicksight?

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.

AskNed

AskNed

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

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.

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