Looker Vs Periscope Vs Chartio Vs Sprinkle Data


In today's business world, businesses rely on BI tools to help them analyze and visualize their raw data effectively. Four popular options in this space are Looker, Periscope, Chartio, and Sprinkle Data. Each of these tools offers unique features and capabilities that cater to different needs and preferences. 

In this article, we will discuss these tools and the unique features and capabilities that they offer.

Looker Vs Periscope Vs Chartio Vs Sprinkle Data: Key Differences

looker vs periscope vs chartio vs sprinkle data



Looker is a powerful business intelligence tool that helps organizations analyze and visualize data more efficiently. It was founded in 2012 by Lloyd Tabb and Ben Porterfield, to make data analytics more accessible to non-technical users. 

Looker dashboard

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Some unique features of Looker include:

  • Its proprietary modeling language called LookML allows users to define data models and relationships simply and intuitively, without having to write complex SQL queries.
  • It offers extensive self-service advanced analytics capabilities, allowing business users to easily access and analyze data without the need for technical expertise.
  • It offers flexibility in terms of data exploration and visualization. Users can easily drag and drop fields to create custom reports and dashboards, allowing them to tailor their analysis to suit their specific needs.
  • One key feature of Looker is its robust security settings and comprehensive data governance module, which help to safeguard your data and prevent unauthorized user access. With Looker's security settings feature, administrators can control who can access specific datasets, reports, and dashboards within the platform.
  • The platform also offers pre-built templates and industry-specific solutions, making it simple for companies to get started with their data modeling efforts. 

Periscope Data

Periscope Data

Periscope Data is a powerful business intelligence tool that allows companies to analyze and visualize their data in real-time. With its user-friendly interface and robust features, Periscope has quickly become a popular choice for businesses looking to make informed decisions.

Dashboard -

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  • Periscope also offers powerful analytics features that enable users to drill down into their data and uncover hidden patterns or trends. By using filters, sorting options, and custom calculations, businesses can gain deeper insights into their operations and identify areas for improvement. 
  • Periscope Editron is a powerful SQL editor that allows users to easily write, edit, and run SQL queries directly within their Periscope Data platform. This tool is perfect for data analysts, engineers, and data scientists.
  • The autocomplete feature helps speed up query writing by suggesting tables, columns, and functions as you type. Additionally, the syntax highlighting makes it easy to spot errors in your code and ensures that your queries are written correctly. 
  • With Periscope SQL First, you can easily connect to your databases and start writing queries right away. By writing SQL queries directly in your browser, you can quickly access and analyze your data without having to switch between multiple tools.
  • The drag-and-drop query builder in Periscope allows users to visually construct SQL queries without having to write any code. This feature is especially useful for those who may not be familiar with SQL or who prefer a more visual approach to querying data. 
  • SQL snippets are small pieces of SQL code that can be saved within Periscope and reused in multiple queries. This can save you a lot of time and effort, as you no longer have to rewrite the same code every time you need it. 

How to use reusable SQL snippets in Periscope

SQL Snippets

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To create a reusable SQL snippet in Periscope, simply write your query as usual and then click on the "Save Snippet" button at the bottom of the editor.

Once your snippet is saved, you can easily insert it into any query by clicking on the "Insert Snippet" button in the editor. This will bring up a list of all your saved snippets, allowing you to quickly select the one you want to use. 

Not only does this feature save you time when writing queries, but it also helps ensure consistency across your reports and dashboards. By using the same snippets in multiple places, you can be confident that your data is being queried in the same way every time. 

If you ever need to make modifications to a snippet, you only have to do it once – all instances of that snippet will automatically be updated throughout your account.  



Chartio is a data visualization tool that allows users to create interactive charts and dashboards from multiple data sources. Founded in 2010, Chartio has quickly become a popular choice for businesses looking to make sense of their data. 

The company's mission is to democratize data, making it accessible to everyone within an organization, not just those with technical expertise. This ethos is reflected in the platform itself, which boasts a user-friendly interface that requires no coding knowledge to use. 

Product Dashboard Chartio

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  • Chartio offers real-time updates, ensuring that everyone is always working with up-to-date information. 
  • The platform offers predictive analytics capabilities, allowing users to forecast future trends based on historical data. This can be incredibly valuable for businesses looking to stay ahead of the curve and make informed decisions. 
  • Chartio Visual SQL is a powerful tool that allows users to create visually appealing and interactive charts and graphs using simple SQL queries. This tool is perfect for those who have data analysis experience but may not be well-versed in traditional coding languages. 
  • Chartio Visual SQL offers real-time data visualization capabilities, meaning you can easily update your charts as new data becomes available. This is especially useful for businesses that need to make quick decisions based on up-to-date information. 
  • Chartio's smart information charts can automatically suggest the most appropriate chart type based on the data being analyzed. This feature not only saves time but also ensures that users are presenting their data in the most effective way possible. 
  • Chartio's smart information charts can be updated in real time. This means that as new data comes in, the charts will automatically adjust to reflect these changes, providing users with up-to-date insights at all times. 

Sprinkle Data

Self Serve Analytics Platform for Data-driven Decisions | Sprinkle Data

Sprinkle Data is a low-code self-service BI tool in the market that not only unifies data in one place but also facilitates powerful data visualization capabilities along with advanced analytics features. Some of the distinctive features of Sprinkle Data include:

Sprinkle Data reporting
  • Once you have written and executed your SQL query, you can easily visualize the results using graphs, and dashboards. This seamless integration between the editor and visualization  streamlines the data analysis process and allows users to quickly gain insights from their data. 
  • Sprinkle Data offers advanced features for more experienced users including the ability to save queries for later use, collaborate with team members on shared queries, and schedule automated query runs. These features make it easy for teams to work together on complex data projects and ensure that everyone has access to the most up-to-date information. 
  • With Sprinkle Data users can easily customize their charts by adjusting colors, fonts, labels, and more with an easy-to-use drag-and-drop interface. This allows for greater creativity and personalization in your data visualizations, making them more engaging and informative for your audience. 
  • Users can set up alerts and notifications based on specific metrics or thresholds. This means that businesses can be alerted immediately if there are any anomalies or trends in their data, allowing them to take action quickly. 

Sprinkle Data is a one-stop solution for all your data needs, click here to get started with the platform

Frequently Asked Questions FAQs - Looker Vs Periscope vs. Chartio Vs Sprinkle Data

What is the difference between Looker and Looker Data Studio? 

Looker is a business intelligence platform that allows users to explore, analyze, and visualize data from various sources. Looker Data Studio, on the other hand, is a reporting tool that enables users to create and share interactive reports and dashboards based on data extracted from Looker.

Why is Looker better than Tableau? 

Looker is considered better than Tableau by some users because of its robust data modeling capabilities and flexibility in handling complex queries. Looker's unique data modeling layer allows users to define relationships between different datasets without having to write SQL code.

What is the difference between mode analytics and periscope? 

Mode Analytics has a strong focus on enabling data scientists and analysts to perform ad-hoc analysis using SQL queries directly within the platform. Periscope emphasizes ease of use for non-technical users by providing pre-built templates and drag-and-drop dashboard creation tools. 

What is Looker used for? 

Looker is primarily used for business intelligence and analytics purposes, allowing organizations to centralize their data sources, build custom data models, perform complex analyses, and generate interactive reports and dashboards. 

What are the 4 modes of analytics? 

The four modes of analytics refer to descriptive analytics (what happened), diagnostic analytics (why it happened), predictive analytics (what will happen), and prescriptive analytics (how we can make it happen).

What are the 4 V's of data analytics? 

The four V's of data analytics stand for volume (amount of data), velocity (the speed at which data is generated), variety (diversity of data types/sources), and veracity (accuracy/reliability of data).

What are the 3 phases types of data analytics? 

The three main types of data analytics are descriptive analytics (summarizing historical data trends), predictive analytics (forecasting future outcomes based on past patterns), and prescriptive analytics (suggesting actions to achieve desired goals).

What are Looker models? 

Looker Models act as the foundation for building queries, visualizations, reports, or dashboards in Looker by providing structured access to underlying datasets through a unified interface known as Explore pages.

Written by
Rupal Sharma


Looker Vs Periscope Vs Chartio Vs Sprinkle Data