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  5. Periscope vs Redash

Periscope vs Redash

OverviewComparisonAlternatives

Overview

Periscope
Periscope
Stacks45
Followers94
Votes10
Redash
Redash
Stacks338
Followers502
Votes12

Periscope vs Redash: What are the differences?

<Write Introduction here>
  1. Data Sources: Periscope allows users to connect to various data sources such as SQL databases, Google Sheets, and CSV files, while Redash supports more extensive data source integrations such as BigQuery, Amazon Redshift, and MongoDB.
  2. Visualization Options: Periscope offers a wide range of visualization options including charts, tables, and dashboards, whereas Redash provides more advanced visualization features like pivot tables and cohort analysis with Python and R support.
  3. User Interface: Periscope provides a user-friendly interface for creating and analyzing data visualizations with drag-and-drop functionality, while Redash offers a more technical interface that caters to users with SQL knowledge, enabling them to write custom queries for data exploration.
  4. Embedding Capabilities: Periscope allows users to easily embed interactive dashboards into websites or applications, whereas Redash provides embedding options with API access and custom visualization embedding for better integration into external platforms.
  5. Pricing Models: Periscope offers a subscription-based pricing model based on the number of users, whereas Redash is an open-source tool that is available for free, with additional paid support and enterprise features.
  6. Customization and Extensibility: Periscope provides limited customization options for visualization themes and layouts, while Redash offers more flexibility in customizing and extending the tool through plugins and customizations.
In Summary, Periscope and Redash differ in their data source integrations, visualization options, user interfaces, embedding capabilities, pricing models, and customization/extensibility features.

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Detailed Comparison

Periscope
Periscope
Redash
Redash

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

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.

Beautiful Visualizations;Expert Query Tools;Seamless Sharing
Query Editor;Dashboards/Visualizations;Alerts;API;Support for querying multiple databases
Statistics
Stacks
45
Stacks
338
Followers
94
Followers
502
Votes
10
Votes
12
Pros & Cons
Pros
  • 6
    Great for learning and teaching people SQL
  • 4
    Gorgeous "share-able" and "embeddable" dashboards
Pros
  • 9
    Open Source
  • 3
    SQL Friendly
Cons
  • 1
    All results are loaded into RAM before displaying
  • 1
    Memory Leaks
Integrations
No integrations available
PostgreSQL
PostgreSQL
Cassandra
Cassandra
MongoDB
MongoDB
Amazon DynamoDB
Amazon DynamoDB
Amazon RDS
Amazon RDS
Amazon Athena
Amazon Athena
Jira
Jira
PagerDuty
PagerDuty
Prometheus
Prometheus
Slack
Slack

What are some alternatives to Periscope, Redash?

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.

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.

Looker

Looker

We've built a unique data modeling language, connections to today's fastest analytical databases, and a service that you can deploy on any infrastructure, and explore on any device. Plus, we'll help you every step of the way.

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