Software Alternatives, Accelerators & Startups

UMLGraph VS Looker

Compare UMLGraph VS Looker and see what are their differences

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UMLGraph logo UMLGraph

UMLGraph is a professional automated drawing tool that allows the designers the declarative specification and drawing of UML class and sequence diagram.

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.
  • UMLGraph Landing page
    Landing page //
    2023-09-25
  • 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.

UMLGraph features and specs

  • Automated Diagrams
    UMLGraph allows for the automatic generation of UML diagrams directly from Java source code, which can save a significant amount of time and reduce the likelihood of errors introduced by manual diagram creation.
  • Integration with Javadoc
    UMLGraph integrates seamlessly with Javadoc, enabling the generation of both class documentation and UML diagrams in a unified process.
  • Text-Based Configuration
    Diagrams are configured using textual annotations in the source code, which makes version control easier and allows developers to maintain diagrams alongside the source code.
  • Extensible and Customizable
    The tool is highly customizable, allowing users to define the appearance and layout of UML diagrams to meet specific project needs.
  • Open Source
    Being an open-source tool, UMLGraph is freely available for use and modification, promoting community involvement and continual improvement.

Possible disadvantages of UMLGraph

  • Learning Curve
    There is a learning curve associated with mastering the use of UMLGraph and its annotations, which may create an initial barrier to entry for new users.
  • Java-Centric
    UMLGraph is designed specifically for Java, which limits its utility for projects that are developed in other programming languages.
  • Limited Dynamic Diagram Support
    The tool primarily focuses on static diagrams and may have limited functionality for generating dynamic diagrams such as sequence or activity diagrams.
  • Dependence on Graphviz
    UMLGraph relies on Graphviz for rendering diagrams, which introduces an additional dependency that must be installed and maintained.
  • Manual Configuration for Complex Diagrams
    For complex diagrams, significant manual configuration may be required, which can negate some of the time-saving benefits.

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.

Analysis of UMLGraph

Overall verdict

  • UMLGraph is generally considered a good tool for generating UML diagrams, especially for those who are comfortable with using Javadoc and prefer a textual approach to diagram specification over a graphical one. It excels in environments where automated documentation is a priority and where integration with Java projects is necessary.

Why this product is good

  • UMLGraph is a tool that allows the declarative specification and drawing of UML class and sequence diagrams. It is highly regarded for its ability to generate diagrams from Java source code using Javadoc comments, which is particularly useful for developers who want to maintain up-to-date documentation within their codebase. Its integration with Javadoc and automated nature makes it efficient for projects that require regular documentation updates.

Recommended for

  • Java developers looking for an integrated solution to generate UML diagrams from source code.
  • Teams that prefer declarative documentation methods and want to keep their diagrams in sync with their codebase.
  • Projects that require frequent updates to documentation as part of their development lifecycle.

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.

UMLGraph videos

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Looker videos

Looker Review

More videos:

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

Category Popularity

0-100% (relative to UMLGraph and Looker)
Diagrams
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Flowcharts
100 100%
0% 0
Business Intelligence
0 0%
100% 100

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Reviews

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

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Looker Reviews

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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.
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

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.

UMLGraph mentions (0)

We have not tracked any mentions of UMLGraph yet. Tracking of UMLGraph recommendations started around Mar 2021.

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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What are some alternatives?

When comparing UMLGraph and Looker, you can also consider the following products

draw.io - Online diagramming application

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.

Dia - Dia is a GTK+ based diagram creation program for GNU/Linux, MacOS X, Unix, and Windows, and is released under the GPL license.

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

yEd - yEd is a free desktop application to quickly create, import, edit, and automatically arrange diagrams. It runs on Windows, Mac OS X, and Unix/Linux.

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