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  5. Looker vs Mode vs Periscope

Looker vs Mode vs Periscope

OverviewDecisionsComparisonAlternatives

Overview

Mode
Mode
Stacks125
Followers227
Votes17
Looker
Looker
Stacks632
Followers656
Votes9
Periscope
Periscope
Stacks45
Followers94
Votes10

Looker vs Mode vs Periscope: What are the differences?

Introduction

In today's data-driven world, businesses rely on various data analytics tools to support their decision-making process. Three popular tools in this realm are Looker, Mode, and Periscope. While all three provide similar functionalities, they do have key differences that set them apart. In this article, we will explore and compare these differences to help you understand which tool might be the best fit for your organization.

  1. Data Visualization Capabilities: Looker is known for its robust and customizable data visualization capabilities. It offers a wide range of visualization options, including charts, graphs, and geo-mapping, allowing users to present data in a visually appealing and easy-to-understand manner. Mode, on the other hand, focuses more on exploratory analysis and interactive visualizations. It offers a drag-and-drop interface that enables users to build complex charts and dashboards with ease. Periscope, similar to Looker, offers a variety of visualization options but also has built-in collaboration features that allow teams to work together on data exploration and visualization projects.

  2. Embedded Analytics: Looker is widely recognized for its embedded analytics capabilities. It allows users to seamlessly embed customized reports, dashboards, and visualizations into their own applications, websites, or portals. This feature is particularly useful for organizations looking to provide their clients or stakeholders with real-time data insights without the need to switch between different platforms. Mode, although it offers some embedding capabilities, is not as advanced in this area as Looker. Periscope, on the other hand, provides a robust set of embedding options, including the ability to share reports and dashboards via email or through a public URL.

  3. SQL-Focused Workflow: Mode is specifically designed for SQL-savvy individuals or teams who prefer to work directly with raw data using SQL queries. It provides a powerful SQL editor that enables users to write complex queries, perform ad-hoc analysis, and collaborate on SQL code. Looker, on the other hand, abstracts the underlying SQL complexity and provides a user-friendly interface for querying data. It allows users to build queries using a visual query builder and provides advanced features like derived tables and joins without requiring users to write raw SQL. Periscope, similar to Looker, takes a more visual approach to querying data but also offers advanced SQL editing capabilities for users who prefer to work with raw SQL code.

  4. Data Modeling and ETL: Looker is known for its robust data modeling capabilities. It allows users to define data models, create relationships between tables, and perform complex transformations using LookML, Looker's modeling language. This makes it easy for non-technical users to explore and analyze data without needing to have in-depth knowledge of the underlying data structure. Mode, although it offers some data modeling capabilities, is not as advanced as Looker in this area. Periscope, on the other hand, does not have native data modeling capabilities and relies on external data modeling and ETL tools.

  5. Collaboration and Sharing: Periscope is designed with collaboration in mind, offering features like in-app commenting and annotation, making it easy for teams to collaborate on data analysis and reporting. Looker also provides collaboration features, allowing users to comment and share insights within the platform. Mode, although it supports collaboration to some extent, does not have as many built-in collaboration features as the other two tools.

  6. Pricing and Licensing: Looker, Mode, and Periscope all offer different pricing models based on factors such as the number of users, data volume, and desired features. Looker is typically known to be on the higher end of the pricing spectrum and provides enterprise-level features. Mode, on the other hand, offers flexible pricing options including free and paid tiers suitable for small to medium-sized businesses. Periscope offers a transparent pricing model based on the number of users and includes all features in all plans.

In summary, Looker, Mode, and Periscope have distinct differences in their data visualization capabilities, embedded analytics, SQL-focused workflow, data modeling and ETL capabilities, collaboration and sharing features, as well as pricing and licensing models. Understanding these differences can help organizations choose the tool that aligns best with their specific needs and requirements.

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Advice on Mode, Looker, Periscope

Mohan
Mohan

CEO at UPJAUNT

Nov 10, 2020

Needs adviceonFirebaseFirebaseGoogle BigQueryGoogle BigQueryData StudioData Studio

We are a consumer mobile app IOS/Android startup. The app is instrumented with branch and Firebase. We use Google BigQuery. We are looking at tools that can support engagement and cohort analysis at an early stage price which we can grow with. Data Studio is the default but it would seem Looker provides more power. We don't have much insight into Amplitude other than the fact it is a popular PM tool. Please provide some insight.

497k views497k
Comments
Vojtech
Vojtech

Head of Data at Mews

Nov 24, 2019

Decided

Power BI is really easy to start with. If you have just several Excel sheets or CSV files, or you build your first automated pipeline, it is actually quite intuitive to build your first reports.

And as we have kept growing, all the additional features and tools were just there within the Azure platform and/or Office 365.

Since we started building Mews, we have already passed several milestones in becoming start up, later also a scale up company and now getting ready to grow even further, and during all these phases Power BI was just the right tool for us.

353k views353k
Comments
Michael
Michael

CTO at Barsala

Oct 2, 2020

Needs advice

Our engineering team is deciding which data warehouse to integrate with our system, and the BI tool to interface with it.

Preliminary question - Is it best practice to try and consolidate all data to be analyzed in one location (warehouse) then have the BI tool just interface with that one source to draw insights? Know some BI tools can connect to multiple but not sure if that's a crutch until teams are able to create a single destination for all of their data

Business Requirements

  • We're looking to create dashboards for each company KPI - with the primary KPI as the highlight of the dashboard, then other downstream metrics that impact it alongside of it
  • We're looking to sync data across the platforms we work with: Stripe, Twilio, Sendgrid, Salesforce, Facebook Ads, Google Ads, Paypal, Business Amazon account (not AWS)
  • For the BI tool, we want to be able to share dashboards, connect different API's and databases, have flexible date ranges, and a nice to have is easy to interface with if team members don't know SQL

Current stack

  • Segment to route user events to Google Adwords, Facebook Ads, Mixpanel, and S3
  • Mixpanel to analyze web and mobile metrics
  • Fullstory for enhanced mobile and web visibility
  • Salesforce as a CRM - majority of our data lies within here

Current thoughts

  • AWS Redshift seems to be well adopted, integrate with most tools, and we're already building on AWS so it seems to make sense. BigQuery seemed more expensive and Snowflake didn't seem terrible but wasn't in AWS ecosystem
  • Looker has looked the most impressive on the BI tool side, but open to discussion
  • We're looking to do this alongside other projects with an in-house engineer and a contractor - we're a bit limited on the technical resources and we're looking to at least get a first pass in and eventually enhance the integration as we have bandwidth

Guidance / advice is appreciated, even if it's only for data warehousing or BI tools specifically (and not both)

6.15k views6.15k
Comments

Detailed Comparison

Mode
Mode
Looker
Looker
Periscope
Periscope

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.

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.

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

Write, save, and share SQL queries with other analysts in your company; Empower non-technical folks to update queries on their own; Run queries on a schedule, create lists of related reports, and explore a project's history as it changes over time; Build reports using standard charting or create completely customer, interactive visuals with HTML, CSS, and Javascript;Database connectors for MySQL, Postgres, Redshift, Vertica, Hive, Heroku, Segment, BigQuery, Impala; Mode also offers SQL School (sqlschool.modeanalytics.com), a free, interactive SQL tutorial and the Mode Playbook.
Zero-lag access to data;No limits;Personalized setup and support;No uploading, warehousing, or indexing;Deploy anywhere;Works in any browser, anywhere;Personalized access points
Beautiful Visualizations;Expert Query Tools;Seamless Sharing
Statistics
Stacks
125
Stacks
632
Stacks
45
Followers
227
Followers
656
Followers
94
Votes
17
Votes
9
Votes
10
Pros & Cons
Pros
  • 4
    Empowering for SQL-first analysts
  • 3
    Collaborative query building
  • 3
    Easy report building
  • 2
    In-app customer chat support
  • 2
    Awesome online and chat support
Pros
  • 4
    GitHub integration
  • 4
    Real time in app customer chat support
  • 1
    Reduces the barrier of entry to utilizing data
Cons
  • 3
    Price
Pros
  • 6
    Great for learning and teaching people SQL
  • 4
    Gorgeous "share-able" and "embeddable" dashboards
Integrations
Apache Hive
Apache Hive
Microsoft Azure
Microsoft Azure
Google BigQuery
Google BigQuery
Apache Impala
Apache Impala
Amazon Redshift
Amazon Redshift
PostgreSQL
PostgreSQL
Segment
Segment
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server
No integrations availableNo integrations available

What are some alternatives to Mode, Looker, Periscope?

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.

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.

Tableau

Tableau

Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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