List of Looker Integrations

This is a list of platforms and tools that integrate with Looker. This list is updated as of April 2025.

  • 1
    Blink Reviews & Ratings

    Blink

    Blink Ops

    Transform security operations with automation and actionable insights.
    Blink acts as a robust ROI enhancer for business leaders and security teams aiming to efficiently secure a variety of use cases. It provides comprehensive visibility and coverage throughout your organization’s security framework. By automating processes, Blink minimizes false positives and reduces alert noise, allowing teams to scan for threats and vulnerabilities proactively. With the ability to create automated workflows, it adds valuable context, enhances communication, and lowers the Mean Time to Recovery (MTTR). You can automate your processes using no-code solutions and generative AI to respond to alerts effectively and bolster your cloud security posture. Additionally, it ensures your applications remain secure by enabling developers to access their applications seamlessly, simplifying approval processes, and facilitating early access requests. Continuous monitoring of your applications for compliance with SOC2, ISO, or GDPR standards is also a key feature, helping enforce necessary controls while maintaining security. Ultimately, Blink empowers organizations to enhance their overall security strategy while streamlining various operational tasks.
  • 2
    Avian Reviews & Ratings

    Avian

    Avian.io

    Streamline your marketing data for insights and efficiency.
    Avian functions as a powerful data automation platform, enabling effortless integration of your marketing data into Google Sheets, Looker Studio, or a Data Warehouse instantly. By adopting this tool, you can optimize your data management process, leading to improved efficiency and valuable insights that can drive your business forward.
  • 3
    Dremio Reviews & Ratings

    Dremio

    Dremio

    Empower your data with seamless access and collaboration.
    Dremio offers rapid query capabilities along with a self-service semantic layer that interacts directly with your data lake storage, eliminating the need to transfer data into exclusive data warehouses, and avoiding the use of cubes, aggregation tables, or extracts. This empowers data architects with both flexibility and control while providing data consumers with a self-service experience. By leveraging technologies such as Apache Arrow, Data Reflections, Columnar Cloud Cache (C3), and Predictive Pipelining, Dremio simplifies the process of querying data stored in your lake. An abstraction layer facilitates the application of security and business context by IT, enabling analysts and data scientists to access and explore data freely, thus allowing for the creation of new virtual datasets. Additionally, Dremio's semantic layer acts as an integrated, searchable catalog that indexes all metadata, making it easier for business users to interpret their data effectively. This semantic layer comprises virtual datasets and spaces that are both indexed and searchable, ensuring a seamless experience for users looking to derive insights from their data. Overall, Dremio not only streamlines data access but also enhances collaboration among various stakeholders within an organization.