Looker vs Domo Everywhere

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Our analysts compared Looker vs Domo Everywhere based on data from our 400+ point analysis of Embedded Analytics Tools, user reviews and our own crowdsourced data from our free software selection platform.

Looker Software Tool
Domo Everywhere Software Tool

Product Basics

Looker is a web-based analytics solution that offers businesses the ability to explore, discover, visualize and share data insights. Enterprises can view data sources and drill down into data to better understand their business and metrics.

Using a simple proprietary modeling language, this system helps define data relationships while bypassing SQL. It facilitates data literacy and accessibility, irrespective of technical skill levels. It was acquired by Google on June 6, 2019, for $2.9 billion.
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Domo Everywhere empowers organizations to share data insights seamlessly within their own applications and platforms. Imagine integrating interactive dashboards and reports directly into customer portals, partner dashboards, or employee applications. This fosters data-driven collaboration and empowers non-technical users to explore and utilize key information without leaving their familiar environment. Domo Everywhere shines for companies with extensive data assets and complex ecosystems. Its strengths lie in its robust security and access controls, ensuring granular data sharing with external users. Additionally, its focus on user experience and customization allows seamless integration and branding within existing platforms. Popular features include pre-built templates for various use cases, dynamic data refreshes, and interactive filtering options. Users praise Domo Everywhere's ease of use, intuitive interface, and ability to democratize data access. Pricing is based on the number of embedded users and ranges from per-user monthly fees to custom enterprise packages. While Domo Everywhere might not be the most budget-friendly option for small businesses, its scalability and advanced features make it a compelling choice for larger organizations seeking a comprehensive embedded analytics solution.

Pros
  • Easy integration
  • Data visualization
  • Real-time insights
  • User-friendly interface
  • Mobile accessibility
Cons
  • Limited customization
  • Pricing can be high
  • Scalability concerns
  • Limited offline access
  • Some data sources tricky
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$2,900 Monthly
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$3,000 Monthly
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Product Assistance

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Product Insights

  • Real-Time Data: Keep up to date on the most recent numbers through real-time updates to dashboards and other visualizations.
  • Local Database: Uses an organization’s proprietary database to collect data — no need to rely on parallel data pipelines or data extracts.
  • Self-Service BI: Explore data through the self-serve function and then refine the automatically generated visualizations. Create custom dashboards to reflect specific KPIs based on the business’ specific needs.
  • Virtual Schema: Create live connections to over 35 SQL databases through a code-based virtual query-time schema. Keeps data visualizations secure and up-to-date.
  • Embedded Analytics: Embeddable through SSO, it can deploy into third-party solutions like a CRM or ERP as an embedded iframe or through Javascript. Empowers other software solutions with BI capabilities including reliable data, self-service analytics, actionable insights and intuitive dashboards.
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  • Boost data accessibility and democratize insights: Empower everyone with self-service analytics through an intuitive interface and drag-and-drop functionality.
  • Unify data from disparate sources: Break down data silos and gain a holistic view of your business with seamless integration of internal and external data.
  • Drive faster decision-making with real-time visibility: Monitor key metrics and identify trends instantly with live dashboards and automated alerts.
  • Enhance collaboration and communication: Foster data-driven discussions and share insights easily with colleagues and stakeholders.
  • Scale your analytics efforts effortlessly: Adapt to your evolving needs with a flexible and scalable platform that grows with your business.
  • Improve data governance and security: Ensure data accuracy and compliance with robust security features and access controls.
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  • Automated Modeling: Connects to relational databases and automatically generates models from the database schema.
  • Intuitive Visualizations: Generates visualizations in real time directly from the specified data source. Choose from an expansive library of visualization options like bar graphs, pie charts, Sankey diagrams, spider web charts, sunburst graphs, chord diagrams, heatmaps, funnels, treemaps and many more.
  • Time Zone Handling: Incorporates data seamlessly into the visualization, regardless of what time zone it is coming from.
  • LookML Data Modeling Language: Create scalable, reusable data models through the proprietary SQL-based data modeling language LookML.
  • Pre-Built Analytics Code: Use its Blocks feature as a starting point for building data analytics models with customizable code blocks. Includes optimized SQL patterns, custom visualization options, pre-built data models and more.
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  • Data Visualization: Create intuitive visualizations using different chart types, including line, filter, bar, area, stacked bar charts, gauges, maps and more. Add tooltips and apply page-level filters to gauge insights. Create multi-period projections to convey predicted changes.  
  • Data Transformation: Leverage a drag-and-drop interface to pull data from multiple sources, process and transform it. Leverage Magic ETL to schedule data pipelines, map values from one column to another and add, combine or split columns in the dataset. Use SQL-based ETL to build and automate complex data pipelines. 
  • Automated Data Discovery: Receive AI-powered data insights through deep learning and a descriptive stats module. Ask questions in natural language and get instant responses via chatbots. Create custom alerts to define thresholds, monitor information and track key changes.  
  • Data Governance: Create entitlement policies and manage custom roles to grant data access to authorized groups and individuals. Develop workflows that enable content owners to certify content as authentic and trusted. Formulate standards based on user attributes rather than individuals. 
  • Embedded Analytics: Prescribe chart-specific interactions to allow users to filter content, drill down into specific details and link to other elements. Offer personalized data access to enable users to view relevant information. Create robust paths to dive deeper into complex hierarchical data. 
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Product Ranking

#1

among all
Embedded Analytics Tools

#36

among all
Embedded Analytics Tools

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Analyst Rating Summary

88
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Embedded Data Visualization
Embeddability
Security
Embedded Reporting
Platform Capabilities
Embeddability
Embedded Data Visualization
Integrations and Extensibility
Data Management
Embedded Analytics

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Looker
Domo Everywhere
+ Add Product + Add Product
Data Management Embeddability Embedded Analytics Embedded Data Visualization Embedded Reporting Mobile Capabilities Platform Capabilities 85 96 80 99 91 62 91 85 94 85 91 85 85 80 0 25 50 75 100
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86%
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

88%
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User Sentiment Summary

Great User Sentiment 1836 reviews
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88%
of users recommend this product

Looker has a 'great' User Satisfaction Rating of 88% when considering 1836 user reviews from 5 recognized software review sites.

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5.0 (20)
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4.4 (1070)
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4.6 (141)
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4.4 (371)
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4.1 (234)
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Synopsis of User Ratings and Reviews

Reporting: Looker features strong reporting features that offer a degree of granularity and scheduling that 100% of users who mention reporting evaluate as a strong benefit.
Support: Of the users who say they’ve contacted customer support, 95% say the team’s quick and informative responses are a plus.
Data Accessibility: All users who mention accessibility to data say Looker does this well, distributing insights to employees across departments and teams with ease, with 100% of users mentioning this feature believing it is a benefit.
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Empower non-technical users: Drag-and-drop interface and visual storytelling tools let anyone explore data without coding.
Break down data silos: Unify internal and external data sources for a holistic view with 1,000+ pre-built connectors.
Real-time insights and alerts: Monitor key metrics and identify trends instantly with live dashboards, driving faster decision-making.
Enhanced collaboration: Share dashboards and insights easily, fostering data-driven discussions and alignment across teams.
Scalability and flexibility: Adapt to your evolving needs with a cloud-based platform that grows with your data volume and user base.
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Learning Curve: About 74% of users who touch on the platform’s ease of use say that the confusing documentation, lack of training opportunities and difficulty of using programming language make Looker a tough tool to pick up as a beginner.
Setup: Of the users who mention implementation, 81% say that setting up the platform is difficult, with integrations not being as plug-and-play as competitors and assistance from IT necessary to the setup process.
Speed: Approximately 87% of users who comment on the platform’s speed say that it is slow to render certain queries and often takes a while to load.
Functionality: About 78% of users who talk about Looker’s features say that they are left wanting many functions and find the ones that it does have limited in customization or too complex to use easily.
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Steep learning curve for advanced features: Custom visualizations and scripting require technical expertise beyond basic data exploration.
Limited offline functionality: Data access and analysis primarily relies on internet connectivity, with some offline capabilities still under development.
Pricing for complex needs: While base costs are reasonable, advanced features and high data volumes can significantly increase the price tag.
Data transformation limitations: Magic ETL simplifies basic processing, but complex data manipulation may require additional tools or coding.
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Looker is a forerunner in the business intelligence field for a reason; it generates reports that include easy sharing via link, automatic scheduling and a level of granular detail that allows for deeper analysis below the surface. It excels in its filter and drill-down features and creates unique URLs when users make changes to data, leading to enhanced sharing. However, one of its biggest strengths could also be considered one of its biggest weaknesses: its proprietary programming language, LookML which is used to construct SQL queries in the platform. While a flexible and powerful data querying language, of course, LookML isn’t the most accessible to non-technical users, which means that Looker requires an IT or data team to access its full capabilities and has a steep learning curve. Users also note that its data visualizations, while simple and easy to understand, are quite basic and lacking in customization options, particularly in comparison to competitors. Some users say that it may be more appropriate for internal reporting than presentation to shareholders and end-users because of its bare-bones visualization options. However, Looker truly shines when used by enterprises, with its scalability and data accessibility making it a stellar solution that can align departments and provide thousands of users access to data insights. Its price point reflects this, with its pricing being prohibitive to startups as about 88% of users who comment on its cost remark. Overall, Looker is a solid pick for larger businesses that have a team of power users who can maximize its functionality and set it up to deliver to employees across an entire organization.

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For users with typical embedded analytics needs, Domo Everywhere presents a mixed bag. Fans rave about its ease of use and visual storytelling tools, enabling anyone to explore data without coding - "Like having a personal data chef," gushed one reviewer. Its ability to unify data from various sources is another major pull, breaking down silos and offering "a single source of truth" for complex operations. However, Domo isn't without its detractors. Some find the learning curve for advanced features like custom visualizations "steeper than a Matterhorn climb," requiring technical expertise beyond basic analysis. Concerns also linger about its offline capabilities, with internet connectivity still crucial for most functionalities - "a deal-breaker for field teams," noted another user. While pricing starts reasonably, advanced features and high data volumes can quickly inflate costs, making some feel Domo becomes "pricey for its complexity" compared to alternatives like Looker or Tableau. Ultimately, Domo Everywhere shines for its intuitiveness and data unification, empowering non-technical users with valuable insights. However, its limitations in offline access, advanced features, and potential cost escalation leave some users yearning for a more well-rounded package. As one reviewer put it, "Domo is like a Ferrari: powerful and flashy, but not everyone needs a race car for their daily commute." So, if your embedded analytics needs prioritize accessibility and a holistic view, Domo could be your champion. But for those needing robust offline functionality, advanced customization, or a more budget-friendly option, exploring other contenders might be the wiser route.

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