Looker vs Periscope: What are the differences?

Introduction:

Both Looker and Periscope are popular business intelligence tools that enable users to visually analyze data and gain valuable insights. However, there are several key differences between the two platforms. In this article, we will highlight six significant distinctions that set Looker apart from Periscope.

1. Data Modeling Approach: Looker adopts a "semantic layer" approach, which means it creates an abstraction layer between the raw data and end users. This allows users to easily access and analyze data without needing to understand the underlying data structure. In contrast, Periscope relies on SQL queries to directly access and transform data, requiring users to have a strong understanding of SQL.

2. Data Exploration Capabilities: Looker offers robust data exploration features, including drill-down, pivoting, and filtering options. These capabilities allow users to dynamically interact with data and uncover hidden patterns or insights. While Periscope also provides similar exploration capabilities, Looker's interface is often touted as more intuitive and user-friendly.

3. Customization and Extension: Looker offers extensive customization options, allowing users to build customized visualizations, dashboards, and reports using LookML (Looker Modeling Language). Furthermore, Looker can be seamlessly integrated with external applications and platforms using API and SDKs, enabling users to extend its functionality. On the other hand, Periscope has more limited customization options and does not have native support for LookML or similar customization frameworks.

4. Collaboration and Sharing: Looker is well-regarded for its collaborative features, enabling users to easily share reports, dashboards, and insights with colleagues or external stakeholders. Looker's permissions and access control mechanisms provide flexibility in managing user access and privileges. Periscope, while offering collaboration features, does not provide the same level of granularity and flexibility when it comes to user access and sharing options.

5. Pricing Structure: Looker's pricing model typically involves an annual subscription fee based on the number of users and data volume. This structure allows for scalability and predictable costs as the organization grows. In contrast, Periscope offers tiered pricing based on factors like user count, usage, and added features. Depending on the organization's needs, one pricing model may be more favorable than the other.

6. Ease of Implementation and Maintenance: Looker's implementation process is often praised for its ease and speed, with a strong focus on user-friendliness and self-service configuration. Additionally, Looker efficiently manages maintenance and updates through scheduled releases and automatic background updates. Periscope may require more technical expertise during the implementation process and ongoing maintenance.

In Summary, Looker and Periscope have distinct differences including their data modeling approach, data exploration capabilities, customization options, collaboration features, pricing structure, and ease of implementation/maintenance. Understanding these differences is crucial in selecting the BI tool that best aligns with an organization's specific needs and requirements.