Looker VS cloudlay

• 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.

• Scalability
  Cloudlay allows for easy scaling of resources based on demand, enabling businesses to efficiently manage workload spikes without the need for extensive on-premise infrastructure.
• Cost Efficiency
  By using Cloudlay, companies can reduce capital expenditures on hardware and instead pay for only the resources they use, thus optimizing operational costs.
• Flexibility
  The platform offers the flexibility to deploy applications and services across different environments and technologies, adapting to diverse business needs.
• Quick Deployment
  Cloudlay allows for rapid deployment of services and applications, significantly reducing time-to-market for businesses.
• Enhanced Collaboration
  With Cloudlay, teams can collaborate more effectively through sharing resources and data across various geographical locations.

Possible disadvantages

• Security Concerns
  Data stored in the cloud may be vulnerable to security breaches, raising concerns over sensitive information protection.
• Dependence on Internet Connectivity
  Reliability on online access can be a drawback because any interruption to internet service might disrupt access to the cloud services.
• Data Transfer Costs
  Transferring large volumes of data to and from the cloud can incur significant costs, which can add up for businesses dealing with high data movements.
• Limited Control
  Using Cloudlay might mean less control over the hardware and software configurations of the cloud infrastructure compared to on-premise solutions.

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Looker Review

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• 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

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  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

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Tracking cloudlay since Mar 2021.