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Looker VS Mode Python Notebooks

Compare Looker VS Mode Python Notebooks and see what are their differences

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Looker logo Looker

Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Mode Python Notebooks logo Mode Python Notebooks

Exploratory analysis you can share
  • Looker Landing page
    Landing page //
    2023-10-11

Looker is a business intelligence platform with an analytics-oriented application server that sits on top of relational data stores. The Looker platform includes an end-user interface for exploring data, a reusable development paradigm for creating data discovery experiences, and an extensible API set so the data can exist in other systems. Looker enables anyone to search and explore data, build dashboards and reports, and share everything easily and quickly.

  • Mode Python Notebooks Landing page
    Landing page //
    2023-05-08

Looker features and specs

  • Powerful Data Modeling
    Looker uses LookML, a proprietary modeling language, making it possible to transform raw data into meaningful metrics and dimensions, providing deep insights without needing SQL expertise.
  • Ease of Use
    Its intuitive user interface enables non-technical users to create visualizations and reports with relative ease, reducing the workload on data teams.
  • Customization
    Looker offers extensive customization options for data exploration and visualization, allowing dashboards and reports to be tailored to specific user needs.
  • Embedded Analytics
    Provides robust capabilities for embedding analytics into applications or portals, broadening the scope of data-driven decision-making throughout the organization.
  • Real-time Data
    Supports real-time data analytics by querying live data, which ensures up-to-date insights and helps in making timely decisions.
  • Integrations
    Looker integrates seamlessly with a wide range of databases and cloud data warehouses, including Google BigQuery, Amazon Redshift, and Snowflake.

Possible disadvantages of Looker

  • Learning Curve
    LookML, while powerful, can be complex for beginners who are not already familiar with data modeling or SQL, resulting in a steep learning curve.
  • Cost
    Looker can be expensive, especially for small businesses, as pricing is typically based on the number of users and the data volume processed.
  • Performance
    Query performance can sometimes be slow, especially with complex data models and large data sets, which may impact the user experience.
  • Customization Constraints
    While Looker offers great customization, certain advanced customizations may require significant expertise and time, posing a potential barrier.
  • Limited Offline Capabilities
    Looker is primarily designed for online use, so it lacks robust offline capabilities, which can be a limitation for users who need access to data in situations without internet connectivity.

Mode Python Notebooks features and specs

  • Integrated with Mode Analytics
    Mode Python Notebooks are seamlessly integrated with Mode Analytics, allowing users to perform advanced analytics and directly visualize the results within the same platform. This integration enables smooth transitions between data querying, manipulation, visualization, and reporting.
  • Real-time Collaboration
    Mode Notebooks support real-time collaboration, which allows multiple users to work on the same notebook simultaneously. This feature facilitates teamwork, enhances productivity, and ensures everyone is on the same page.
  • Accessible via Web Interface
    Being a web-based tool, Mode Python Notebooks can be accessed from any device with an internet connection, eliminating the need for complicated setup or installation processes. It provides convenience for users to work productively online without software compatibility issues.
  • Built-in Visualization Tools
    With Mode's built-in visualization capabilities, users can generate quick and interactive visual representations of data and insights directly within the notebooks. This feature is designed to facilitate better understanding and presentation of data analysis results.
  • Integration with SQL and R
    The notebooks support integrations with SQL and R, allowing users to leverage multiple languages and databases within a single notebook environment. This flexibility can help cater to diverse data manipulation and analysis requirements.

Possible disadvantages of Mode Python Notebooks

  • Limited Offline Access
    As a cloud-based tool, Mode Python Notebooks require internet access for functionality. This reliance on an internet connection can be restrictive and inconvenient for users who require offline access to notebooks and data.
  • Dependency on Third-party Platform
    Users are dependent on Mode as a third-party platform for functionality and reliability. Any outages or changes in service can directly impact users' ability to access and use their notebooks effectively.
  • Potential Learning Curve
    Individuals new to Mode Analytics may experience a learning curve when getting accustomed to the platform and its various features, particularly if they are more familiar with other notebook environments like Jupyter.
  • Subscription Costs
    Using Mode Python Notebooks typically involves subscription costs, which may be a limiting factor for individuals or small teams with budget constraints. The costs can add up compared to free alternatives, affecting the choice based on financial considerations.
  • Limited Customization
    Compared to open-source alternatives like Jupyter Notebooks, Mode Python Notebooks might offer limited customization options for those looking to deeply configure their working environment according to specific requirements.

Looker videos

+ Add

Looker Review

More videos:

  • Tutorial - How To Use Looker as a Business User
  • Review - Looker Review - Off The Shelf Reviews

Mode Python Notebooks videos

No Mode Python Notebooks videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Looker and Mode Python Notebooks)

Looker

Mode Python Notebooks

Data Dashboard
100 100%
Data Dashboard
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Business Intelligence
100 100%
Business Intelligence
0% 0
Education
0 0%
Education
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Looker and Mode Python Notebooks

Looker Reviews

Explore 7 Tableau Alternatives for Data Visualization and Analysis
Looker Studio, formerly Google Data Studio, is a user-friendly business intelligence tool that transforms raw data into interactive, customizable dashboards and reports. It integrates seamlessly with Google's ecosystem and supports various data sources, including Google Analytics and BigQuery. Looker Studio offers robust visualization capabilities and real-time collaborative...
Source: www.draxlr.com
Explore 6 Metabase Alternatives for Data Visualization and Analysis
To find the best Metabase alternative for your business, start by listing your specific requirements, such as customer support, data integrations, visualization options, user access controls, and budget. Compare these needs with the features of other BI tools like Draxlr, Tableau, Power BI, Looker, or Holistics. Once you've identified a few suitable options, take advantage...
Source: www.draxlr.com
5 best Looker alternatives
In this blog, we’ll dive into the best 5 Looker alternatives currently dominating the market. Whether you're seeking a Looker alternative with enhanced features, better pricing, or a more tailored fit for your analytics needs, this guide will help you discover BI tool that could be a perfect match for your business.
Source: www.draxlr.com
10 Best Alternatives to Looker in 2024
Exploring alternatives to Looker isn't just about finding a different tool; it's about uncovering solutions that better address your specific business challenges and operational workflows. Here, we highlight five areas where Looker's limitations might lead you to consider other options.
Source: www.sigmacomputing.com
6 Best Looker alternatives
So who are Looker’s competitors? Our top 5 Looker alternatives provide data visualisation and exploration for business intelligence but also offer lower price points, less of a learning curve, and more accessibility for your non-tech team.
Source: trevor.io

Mode Python Notebooks Reviews

We have no reviews of Mode Python Notebooks yet.
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Social recommendations and mentions

Based on our record, Looker seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Looker mentions (14)

  • edit home page to add folder section
    Then in the "foldername" you can have 5 folders, each one for each of the groups. This means that when group1 enters looker.com, his default page will be the "foldername", which contains group1folder (he cannot see the rest of the folders if you have set the permissions correctly for each folder). Source: about 2 years ago
  • Stars, tables, and activities: How do we model the real world?
    Even if you want to make Wide Tables, combining fact and dimensions is often the easiest way to create them, so why not make them available? Looker, for example, is well suited to dimensional models because it takes care of the joins that can make Kimball warehouses hard to navigate for business users. - Source: dev.to / over 2 years ago
  • dbt for Data Quality Testing & Alerting at FINN
    We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams. - Source: dev.to / about 3 years ago
  • I'm a dev ID 10 T please help me
    Dashboard: I like to use Datastudio because it's easy (just like using google sheets), but you can also try out Looker. Source: over 3 years ago
  • The Data Stack Journey: Lessons from Architecting Stacks at Heroku and Mattermost
    For Growth and larger, I would recommend Looker. The only reason I wouldn't recommend it for the smaller company stages is that the cost is much higher than alternatives such as Metabase. With Looker, you define your data model in LookML, which Looker then uses to provide a drag-and-drop interface for end-users that enables them to build their own visualizations without needing to write SQL. This lets your... - Source: dev.to / over 3 years ago
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Mode Python Notebooks mentions (0)

We have not tracked any mentions of Mode Python Notebooks yet. Tracking of Mode Python Notebooks recommendations started around Mar 2021.

What are some alternatives?

When comparing Looker and Mode Python Notebooks, you can also consider the following products

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.

Invent With Python - Learn to program Python for free

Microsoft Power BI - BI visualization and reporting for desktop, web or mobile

One Month Python - Learn to build Django apps in just one month.

Sisense - The BI & Dashboard Software to handle multiple, large data sets.

Micro Python - Python for microcontrollers

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