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  5. Metabase vs Periscope

Metabase vs Periscope

OverviewComparisonAlternatives

Overview

Periscope
Periscope
Stacks45
Followers94
Votes10
Metabase
Metabase
Stacks928
Followers1.2K
Votes271
GitHub Stars44.4K
Forks6.0K

Metabase vs Periscope: What are the differences?

  1. User Interface: Metabase has a simple and clean user interface that caters more towards beginners and non-technical users, while Periscope offers a more advanced and feature-rich interface that is preferred by data analysts and experienced users.
  2. Connectivity: Metabase has a limited number of data source connectors available compared to Periscope, which has a wide range of integrations with various databases and tools, making it more versatile for different use cases.
  3. Collaboration Features: Periscope provides more robust collaboration features such as commenting, sharing dashboards, and scheduling reports, allowing teams to work together seamlessly, while Metabase lacks some of these advanced collaboration functionalities.
  4. Customization Options: Periscope offers more options for customizing and designing dashboards and reports according to specific requirements, whereas Metabase has fewer customization capabilities, limiting the flexibility in visualizing data.
  5. Data Transformation: Periscope has more advanced data transformation features like SQL editor, advanced analytics, and machine learning integrations, allowing users to manipulate and analyze data in more sophisticated ways compared to Metabase.
  6. Cost: Metabase is an open-source tool with a free version available, making it more cost-effective for smaller organizations or individuals, while Periscope is a paid platform, which might be more suitable for larger enterprises with advanced analytics needs.

In Summary, Metabase is a beginner-friendly and cost-effective option with limited customization and collaboration features, while Periscope offers advanced functionalities for data analysts and teams at a higher cost.

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Detailed Comparison

Periscope
Periscope
Metabase
Metabase

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

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.

Beautiful Visualizations;Expert Query Tools;Seamless Sharing
-
Statistics
GitHub Stars
-
GitHub Stars
44.4K
GitHub Forks
-
GitHub Forks
6.0K
Stacks
45
Stacks
928
Followers
94
Followers
1.2K
Votes
10
Votes
271
Pros & Cons
Pros
  • 6
    Great for learning and teaching people SQL
  • 4
    Gorgeous "share-able" and "embeddable" dashboards
Pros
  • 62
    Database visualisation
  • 45
    Open Source
  • 41
    Easy setup
  • 36
    Dashboard out of the box
  • 23
    Free
Cons
  • 7
    Harder to setup than similar tools
Integrations
No integrations available
PostgreSQL
PostgreSQL
MongoDB
MongoDB
Amazon Redshift
Amazon Redshift
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server

What are some alternatives to Periscope, Metabase?

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.

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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