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Looker VS Parse

Compare Looker VS Parse and see what are their differences

Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Looker logo Looker

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

Parse logo Parse

Build applications faster with object and file storage, user authentication, push notifications, dashboard and more out of the box.
  • 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.

  • Parse Landing page
    Landing page //
    2021-10-17

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.

Parse features and specs

  • Open Source
    Parse Platform is open-source, which means it is free to use and can be customized to fit the needs of your application without any licensing fees.
  • Rich Feature Set
    Parse provides a wide range of built-in features such as a robust database system, real-time notifications, user authentication, cloud functions, and file storage, reducing the amount of development work needed.
  • Cross-Platform Support
    Parse supports multiple platforms including iOS, Android, JavaScript, .NET, and more, enabling easier development across different types of applications.
  • Community and Documentation
    There is a strong community around Parse with extensive documentation and numerous tutorials, which can help developers quickly resolve issues and learn best practices.
  • Unified Backend
    Parse allows developers to manage database, server code, and user authentication in one unified platform, simplifying backend management.

Possible disadvantages of Parse

  • Self-Hosting Complexity
    While Parse is open-source, it requires self-hosting, which involves managing and maintaining your own server infrastructure, adding operational complexity.
  • Performance
    Depending on your server setup and scaling needs, you might encounter performance issues, especially for high-traffic applications, requiring constant monitoring and fine-tuning.
  • Limited Scalability
    Parse might not be as scalable as other backend solutions like Firebase, particularly for apps that need to handle massive amounts of data and users.
  • Initial Setup Time
    The initial setup of a Parse server and its environment can be time-consuming and challenging, particularly for those without DevOps experience.
  • Feature Limitations
    While Parse offers a rich feature set, some advanced features available in other modern backend-as-a-service (BaaS) platforms may lack, necessitating custom development.

Analysis of Looker

Overall verdict

  • Looker is generally considered a robust solution for organizations looking to enhance their data-driven decision-making capabilities. Its flexibility, extensibility, and ease of use make it a strong contender in the BI space, though it may require some learning and setup effort to fully utilize its features.

Why this product is good

  • Looker is a data analytics platform that provides powerful tools for data exploration, visualization, and business intelligence. It offers a user-friendly interface and is known for its ability to connect to a wide variety of data sources. Looker's LookML, a modeling language, allows users to define data relationships and calculations, making it easier to create custom reports and dashboards. Additionally, it integrates well with other tools and supports collaboration with data teams.

Recommended for

  • Companies seeking scalable and flexible business intelligence solutions.
  • Organizations that need to integrate multiple data sources.
  • Teams looking for a collaborative platform with custom reporting capabilities.
  • Users who prefer a code-based approach to data modeling and analysis.

Analysis of Parse

Overall verdict

  • Parse is a good choice for developers looking for a flexible and scalable backend solution that can be deployed on their own servers or using cloud services. It is particularly beneficial due to its active community and extensive documentation.

Why this product is good

  • Parse is a popular open-source backend-as-a-service framework that simplifies app development by handling server-side components, freeing developers to focus on front-end development. It offers features like push notifications, cloud functions, social media integration, and a real-time database.

Recommended for

  • Developers who want an open-source solution with the freedom to self-host.
  • Teams building mobile or web applications that require a robust backend service.
  • Projects that need strong support for relational data and real-time functionalities.
  • Developers looking to avoid the overhead of writing custom backend code.

Looker videos

+ Add

Looker Review

More videos:

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

Parse videos

No Parse videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Looker and Parse)

Looker

Parse

Data Dashboard
100 100%
Data Dashboard
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Business Intelligence
100 100%
Business Intelligence
0% 0
Realtime Backend / API
0 0%
Realtime Backend / API
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 Parse

Looker Reviews

Top 10 BI Tools in 2026 (with Pricing, AI Features & Enterprise Fit)
Looker like business intelligence platforms include tools that offer governed data models, embedded analytics, real-time dashboards, and scalable cloud performance. These platforms are ideal for organizations that need consistent metrics, strong data governance, and customizable analytics similar to what Looker provides.
Source: supaboard.ai
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, weโ€™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

Parse Reviews

10 Top Firebase Alternatives to Ignite Your Development in 2024
If youโ€™re looking for a Firebase alternative that gives you full control and the freedom to tinker, Parse Platform is your jam. Again, itโ€™s a popular open-source framework loved by developers who want to build custom backends without being tied to a specific provider.
Source: genezio.com
Top 7 Firebase Alternatives for App Development in 2024
Back4App is a backend-as-a-service (BaaS) platform that uses Parse Server, the open-source version of the Parse backend. It simplifies backend development and management, providing developers with a robust platform for building modern applications.
Source: signoz.io
What is AWS Amplify? - AWS Amplify Alternatives
It is well-known for making the development process quick, easy, and simple. Using Parse, you may complete a day's worth of work in a few hours.
Source: mindmajix.com
2023 Firebase Alternatives: Top 10 Open-Source & Free
Community Support โ€“ If Firebase comes with the backing of Google, then Parse is also tested and trusted by Facebook. Yes, Facebook is the parent company of Parse. Therefore, it has a big community. You can find resources and solutions regarding Parse on GitHub, Stack Overflow and several other programming forums.
Source: digitalcruch.com
12 Best Open-source Database Backend Server and Google Firebase Alternatives
Parse server is an open-source database backend solution which speed up application building. It features database, user management, authentication, file upload and push notification.I used Parse for a few times, and I was satisfied with the speed and productivity it offers, especially in terms of developer tools as it comes with dozens of SDKs, libraries and sample code to...
Source: medevel.com

Social recommendations and mentions

Based on our record, Parse should be more popular than Looker. It has been mentiond 21 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: over 3 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 3 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 / over 4 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 4 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 4 years ago
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Parse mentions (21)

  • Supabase Alternatives ๐Ÿ”„ in 2025 ๐Ÿ˜ผ
    Parse deserves mention primarily for its historical significance as the precursor that inspired the entire backend-as-a-service space. Founded in 2011, Parse pioneered many concepts that we now take for granted in modern BaaS platforms. - Source: dev.to / over 1 year ago
  • The 2024 Web Hosting Report
    Backend as a Service (BaaS) goes back to early 2010โ€™s with companies like Parse and Firebase. These products integrated everything a backend provides to a webapp in a single, integrated package that makes it easier to get started and enables you to offload some of the devops maintenance work to someone else. - Source: dev.to / over 2 years ago
  • How to set up a Parse Server backend with Typescript
    Parse Server is a great way to quickly spin up a backend for your project. Parse is a Node based utility that sits on top of ExpressJS. - Source: dev.to / over 3 years ago
  • Free online DB for production app
    You can try https://parseplatform.org/, it is self-hosted if you need. And also there are a number of cloud services with compatible API, like https://www.back4app.com/ It has dart-friendly generated API client, much simpler than firebase and is built on top of postgresql and mongodb. Source: almost 4 years ago
  • Supabase Series B
    Not to crash the party or anything. Supabase is great and all but in terms of feature completeness and getting actual products built, it doesn't come close to Parse[0]. Same with Appwrite. Both of these are very popular but they either lack essential features or have them behind a subscription wall. For example, the OSS version of Supabase (last I checked) doesn't include the edge functions which are really... - Source: Hacker News / almost 4 years ago
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What are some alternatives?

When comparing Looker and Parse, 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.

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

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

AWS Amplify - JavaScript library for app development using cloud services

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

Back4App - Low code backend to build apps faster and scale easily.

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