Looker VS SQL Sentry

• 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.

• Comprehensive Performance Monitoring
  SQL Sentry offers detailed insights into SQL Server performance metrics, including query performance, CPU and memory usage, and disk I/O. This helps database administrators identify and solve performance issues quickly.
• Historical Data Analysis
  The platform retains historical performance data, allowing users to analyze trends over time. This can be useful for capacity planning and understanding long-term performance issues.
• Powerful Alerting System
  SQL Sentry has a robust alerting system that can notify administrators of potential issues before they become critical. Alerts can be customized based on specific thresholds, ensuring timely and relevant notifications.
• Easy Integration
  SQL Sentry is designed to integrate seamlessly with other SentryOne products and various third-party applications, making it versatile for different IT environments.
• Detailed Reporting
  The tool offers extensive reporting capabilities, allowing users to generate detailed reports about their SQL Server environments. These reports can help in audits and compliance checks.

Possible disadvantages

• Cost
  SQL Sentry is considered premium software, and its cost can be prohibitive for smaller businesses or organizations with limited budgets.
• Complexity
  The comprehensive nature of SQL Sentry can make it complex to set up and configure. Users might require a significant time investment to fully understand and utilize all features effectively.
• Resource Intensive
  The platform can be resource-intensive, potentially affecting the performance of the systems it monitors if not properly managed and configured.
• Steep Learning Curve
  Due to its wide range of features and depth of functionality, new users may face a steep learning curve. Adequate training and practice are necessary to harness its full potential.
• Vendor Lock-in
  Organizations that invest heavily in SQL Sentry can find themselves dependent on the vendor and its ecosystem, possibly limiting flexibility in the long term for switching to other solutions.

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

• 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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Tracking SQL Sentry since Mar 2021.