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  5. Periscope vs Sigma Computing

Periscope vs Sigma Computing

OverviewComparisonAlternatives

Overview

Periscope
Periscope
Stacks45
Followers94
Votes10
Sigma Computing
Sigma Computing
Stacks21
Followers27
Votes0

Periscope vs Sigma Computing: What are the differences?

# Differences Between Periscope and Sigma Computing

Periscope and Sigma Computing are both powerful data analytics tools, but they have key differences that set them apart.

1. **User Interface**: Periscope has a more intuitive and user-friendly interface, making it easier for non-technical users to navigate and create visualizations. In contrast, Sigma Computing is known for its flexibility and customization options, catering more towards technical users who prefer a hands-on approach to data analysis.

2. **Collaboration Features**: Periscope offers robust collaboration features, allowing multiple users to work on the same dashboard simultaneously and share insights in real-time. Sigma Computing lacks some of these collaborative capabilities, making it less ideal for teams that require extensive collaboration on projects.

3. **Data Source Connectivity**: Periscope provides connections to a wide range of data sources, including databases, cloud storage, and APIs, making it versatile for gathering data from different sources. On the other hand, Sigma Computing specializes in cloud data sources, offering seamless integration with platforms like Snowflake, Redshift, and BigQuery.

4. **Cost Structure**: Periscope operates on a subscription-based model with tiered pricing based on the number of users and features required. Sigma Computing, on the other hand, offers a more transparent pricing structure with a pay-as-you-go option, which can be more cost-effective for smaller teams or organizations.

5. **Advanced Analytics Capabilities**: Sigma Computing shines in advanced analytics capabilities, providing users with the ability to write complex SQL queries and perform advanced calculations directly within the tool. Periscope, while powerful in its own right, may not offer the same level of sophistication when it comes to advanced analytics.

6. **Security and Governance**: Periscope and Sigma Computing differ in their approach to security and governance, with Periscope offering more robust security features such as SSO integration, role-based access control, and encryption at rest. Sigma Computing also prioritizes data security but may require additional configurations to achieve the same level of security as Periscope.

In Summary, Periscope is more user-friendly with extensive collaboration features and data source connectivity, while Sigma Computing caters to technical users with advanced analytics capabilities and a flexible pricing structure.

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Detailed Comparison

Periscope
Periscope
Sigma Computing
Sigma Computing

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 modern analytics built for the cloud. Trusted by data-first companies, it provides live access to cloud data warehouses using an intuitive spreadsheet interface that empowers business experts to ask more questions without writing a single line of code. With the full power of SQL, the cloud, and a familiar interface, business users have the freedom to analyze data in real time without limits.

Beautiful Visualizations;Expert Query Tools;Seamless Sharing
Ad Hoc Reports; Benchmarking; Dashboard; Key Performance Indicators ;Performance Metrics; Predictive Analytics; Visual Analytics; Embedded Dashboards; SQL runner; Self-service Analytics; Visual Data Modeling
Statistics
Stacks
45
Stacks
21
Followers
94
Followers
27
Votes
10
Votes
0
Pros & Cons
Pros
  • 6
    Great for learning and teaching people SQL
  • 4
    Gorgeous "share-able" and "embeddable" dashboards
No community feedback yet
Integrations
No integrations available
Google BigQuery
Google BigQuery
PostgreSQL
PostgreSQL
Amazon Redshift
Amazon Redshift
Snowflake
Snowflake

What are some alternatives to Periscope, Sigma Computing?

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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