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DevTest VS Looker

Compare DevTest VS Looker and see what are their differences

DevTest

Test management solution for efficient quality assurance

Rating
0 reviews
Alternatives Is it good?
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.

Rating
0 reviews
Alternatives Is it good?
Sales Blueprint Architect
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Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Looker seems to be a lot more popular than DevTest. While we know about 14 links to Looker, we've tracked only 1 mention of DevTest.

social mentions
1 vs 14
Development popularity
100% vs 0%
alternatives listed
118 vs 240+

Base details

Website, pricing, platforms and company facts side by side.

DevTest
Looker
Website azure.microsoft.com looker.com
Pricing —
Official pricing
Company — Startup from the United States
Listed in
Website Testing Automated Testing Development QA +1
Business Intelligence Data Analytics Data Visualization Data Dashboard +1

About DevTest and Looker

In their own words, as submitted to SaaSHub.

DevTest
Looker

No description of DevTest yet.

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...

Read more about Looker

Features and specs

What each product offers, as listed by its team.

DevTest 5 features
Looker 6 features
  • Cost Management
    Azure DevTest Labs helps you control costs by allowing you to set policies such as auto-shutdown and budget limits. This ensures that resources are not unnecessarily consumed, reducing wastage and managing expenditure efficiently.
  • Quick Provisioning
    The service offers rapid creation of testing environments, enabling developers to quickly set up and tear down environments as needed. This speeds up the development cycle and reduces the time to market.
  • Preconfigured Templates
    Azure DevTest Labs provides a variety of preconfigured templates that help in setting up environments more easily and consistently. This standardization reduces errors and simplifies the management of testing conditions.
  • Integration with CI/CD
    The service supports integration with continuous integration and continuous deployment (CI/CD) pipelines. This allows for better automation and efficiency, reducing manual intervention and improving reliability.
  • Resource Management
    It offers detailed resource management features, allowing you to allocate CPU, memory, and storage based on the needs of the specific environment. This granular control helps in optimizing the use of resources.

Possible disadvantages

  • Complexity
    Managing and configuring DevTest Labs can be complex, requiring a good understanding of Azure services and architecture. This can be a challenge for smaller teams with limited expertise.
  • Limited Support for Non-Azure Environments
    The service is primarily designed for Azure-based resources, which makes it less effective for multi-cloud or hybrid cloud strategies. This limitation could be a constraint for organizations looking for a more versatile solution.
  • Cost Overruns
    While cost management features are available, improper configuration or lack of monitoring can still lead to cost overruns. This requires active management to ensure budgets are adhered to.
  • Dependency on Azure Ecosystem
    The service is deeply integrated with the Azure ecosystem, making it less flexible for those who are using other cloud providers or on-premises solutions. This dependency can limit the ability to diversify cloud strategy.
  • Learning Curve
    There can be a steep learning curve for new users who are not familiar with the Azure platform. This could potentially slow down the adoption and effective utilization of the service.
  • 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

  • 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

An editorial look at what each product does well and who it suits.

DevTest
Looker

Overall verdict

  • Yes, DevTest Labs is generally considered a good tool for development and testing environments on Azure.

Why this product is good

  • DevTest Labs provides a scalable and cost-effective solution for organizations to quickly set up testing environments on Microsoft Azure. It offers features such as automated VM provisioning, reusable templates, cost tracking, and integration with CI/CD pipelines, which enhances productivity and resource management. Additionally, it simplifies the management of development environments, reduces waste, and controls costs effectively.

Recommended for

    DevTest Labs is recommended for development teams and organizations that need to manage multiple testing or development environments. It's ideal for teams that want to automate their environment provisioning, manage costs, and streamline their DevOps workflows in the cloud. Organizations using Azure as their primary cloud infrastructure will particularly benefit from its seamless integration with other Azure services.

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.

Videos

Walkthroughs and reviews on video.

DevTest 1 video + Add
Looker 3 videos + Add

AZ-900 Episode 18 | Azure DevOps Solutions | Azure DevOps, DevTest Labs

Looker Review

More videos

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

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
DevTest
Looker
100% 100%
Development
0% 0%
0% 0%
Data Dashboard
100% 100%
100% 100%
Website Testing
0% 0%
0% 0%
Business Intelligence
100% 100%

User comments

Share your experience with using DevTest and Looker. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

DevTest no reviews yet
Looker no reviews yet

We have no reviews of DevTest yet. Be the first one to post

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

DevTest 1 mention
Looker 14 mentions
  • Replacing Laptop with Azrue VM
    Another way to reduce cost is VM Reservations https://learn.microsoft.com/en-us/azure/cost-management-billing/reservations/save-compute-costs-reservations (1 and 3 years with discounts as high as 70%) or Savings plan... Source: about 3 years ago
  • 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... 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... - Source: dev.to / almost 4 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

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Alternatives to DevTest and Looker

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

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