Top 3 Looker Alternatives and Competitors

To understand your marketing performance, you need to evaluate data from all your sources, which means gathering all your data in one place and merging it. Specialized tools can do you a big favor and help you easily analyze your marketing performance, but only if you make the right choice. In this post, we review Looker, consider its main features and nuances, and compare it to three popular alternatives: OWOX BI, Power BI, and Tableau.

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Looker

What is Looker?

Looker is a business intelligence and analytics platform that allows you to collect and store data from different sources in an automatically generated LookML model. To use Looker efficiently, you must first learn how the basic LookML model works. With Looker, you can configure alerts, visualizations, and dashboards. On top of that, with Looker’s built-in code editor, you can adjust automatically generated models if needed.

Why should I use Looker?

Looker is suitable for companies in the ecommerce, retail, SaaS, media, and gaming industries.

With Looker, you can:

  • Embed insights with Salesforce, SharePoint, Confluence, PowerPoint, and other tools
  • Accelerate analytics using prebuilt code in Looker Blocks
  • Integrate Looker with Google Sheets
  • Visualize reports
    • Create interactive dashboards
    • Access a dashboard template library

Pricing

Looker has custom pricing that depends on your specific case, number of users, and scale of the deployment.

Integrations

Looker offers multiple connectors, including with ETL platforms such as Google BigQuery, Snowflake, and Amazon Redshift.

Looker Overview

  • Views: 74211
  • 24 June 2020

OWOX BI

What is OWOX BI?

OWOX BI is an all-in-one marketing analytics platform that collects your marketing data from various sources in one warehouse. OWOX BI merges, cleans, and organizes complete information from your websites, advertising and call tracking services, and CRM and monitors data quality. As a result, you get business-ready data and the ability to create reports based on it without knowing SQL, and you can import these reports to the visualization service of your choice.

Why should I use OWOX BI?

OWOX BI is the perfect solution for ecommerce, retail, telecom, finance, and lead generation companies.

With OWOX BI, you can:

  • Import data from ad services to Google Analytics:
    • Transfer historical data for the past 6 months
    • Automatically update historical data within the 21-day data actualization period
    • Automatically parse the appropriate UTM tags
    • Automatically apply corresponding changes to the product if an ad service API changes
    • Update data retroactively if it’s updated in a third-party ad service
  • Integrate with Google Sheets
  • Integrate with Google BigQuery:
    • Import raw data on user behavior in a convenient Google Analytics structure
    • Import data from ad services (OWOX BI works smoothly with large ad accounts and uploads all data regardless of the number of campaigns.)
    • Recognize dynamic parameters in UTM tags, convert costs into one currency, and monitor the relevance of information
    • Import data from your CRM system, call tracking system, and other services
    • Collect personal user information (emails and phone numbers)
  • Visualize data
    • Integrate with other visualization tools (Data Studio, Microsoft Power BI, Tableau, Looker, etc.)
    • Create reports with a simple built-in report builder
  • Easily monitor data quality and highlight mistakes

Pricing

Check out OWOX BI pricing or start using OWOX BI with a free trial period.

Alternatively, you can book a free demo and we’ll discuss your use case and calculate a custom price.

Looker Alternatives: OWOX pricing

You can get a tailored plan based on the number of unique users.

Integrations

OWOX BI offers 100+ integrations with various services:

LookerAlternatives: OWOX integrations

OWOX BI. All-in-one marketing analytics platform

  • Views: 890
  • 11 September 2020
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Tableau

What is Tableau?

Tableau is an analytics platform that uses machine learning to collect and visualize your data. With the help of drag-and-drop functionality, you can build interactive visualizations. Tableau is partially based on the VizQL query language, which translates dashboard and visualization components into queries so you don’t have to optimize the work of the service manually.

Why should I use Tableau?

Tableau is suitable for companies in the enterprise, retail, media, finance, and other industries.

With Tableau, you can:

  • Integrate your own security protocols
  • Visualize data
    • Create interactive visualizations
    • Share visualizations with your colleagues
  • Use the Tableau mobile app
  • Take advantage of role-based licensing to provide access for all your teammates

Pricing

Looker Alternatives: Tableau pricing

Integrations

Tableau offers 80+ native connectors with platforms such as Google BigQuery, Salesforce, and Amazon Redshift.

What is Tableau? | A Tableau Overview

  • Views: 461409
  • 13 February 2019

Power BI

What is Power BI?

Microsoft Power BI is visualization and reporting software that allows you to collect and visualize data, create custom reports, and share them with your teammates. Since Power BI tool works with Microsoft technology, you can take advantage of its familiar interface to start building business analytics visualizations easily.

Why should I use Power BI?

Power BI is suitable for companies in the enterprise, retail, healthcare, and other industries.

With Power BI, you can:

  • Visualize reports
    • Create interactive visualizations
    • Use a library of ready-made visualizations
  • Use desktop and mobile apps for Android, iOS, and Windows Mobile and collaborate with your colleagues
  • Embed analytics and interactive reports into your applications
  • Use an Azure data lake for high volumes of information to accelerate processing

Pricing

Looker Alternatives: Power BI pricing

Integrations

Power BI offers 120+ connectors and cloud sources, including Salesforce, Excel, and Azure SQL Database.

This is Power BI

  • Views: 430184
  • 22 September 2015