Best Operations Management Software for Pantomath

Find and compare the best Operations Management software for Pantomath in 2024

Use the comparison tool below to compare the top Operations Management software for Pantomath on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Looker Reviews
    Top Pick
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    Looker reinvents the way business intelligence (BI) works by delivering an entirely new kind of data discovery solution that modernizes BI in three important ways. A simplified web-based stack leverages our 100% in-database architecture, so customers can operate on big data and find the last mile of value in the new era of fast analytic databases. An agile development environment enables today’s data rockstars to model the data and create end-user experiences that make sense for each specific business, transforming data on the way out, rather than on the way in. At the same time, a self-service data-discovery experience works the way the web works, empowering business users to drill into and explore very large datasets without ever leaving the browser. As a result, Looker customers enjoy the power of traditional BI at the speed of the web.
  • 2
    PagerDuty Reviews
    Top Pick
    PagerDuty, Inc. (NYSE PD) is a leader for digital operations management. Organizations of all sizes rely on PagerDuty to deliver the best digital experience to their customers in an ever-on world. PagerDuty is used by teams to quickly identify and solve problems and to bring together the right people to prevent future ones. PagerDuty's 350+ integrations include Slack, Zoom and ServiceNow as well as Microsoft Teams, Salesforce and AWS. This allows teams to centralize their technology stack and get a holistic view on their operations. It also optimizes processes within their toolkits.
  • 3
    Opsgenie Reviews

    Opsgenie

    Atlassian

    $9 per user per month
    6 Ratings
    Keep track of all Ops and Dev incidents and take control. Notify the right people, reduce response times, and avoid alert fatigue. Opsgenie is a modern, incident management platform that ensures critical events are not missed and the right people take the appropriate actions in the shortest time possible. Opsgenie can receive alerts from custom applications and monitoring systems, and will categorize each alert according to importance and timing. On-call schedules ensure that the right people get notified via multiple communication channels, including voice calls, SMS, email, and push messages on mobile phones. Opsgenie automatically escalates any alert that is not acknowledged. This ensures that the incident receives the appropriate attention. Register now for a free trial.
  • 4
    SAP BusinessObjects Business Intelligence Reviews
    Access to real-time insights from a single, scalable platform allows you to make better and more informed decisions. SAP BusinessObjects Business Intelligence provides a central suite for data reporting, visualization and sharing. It is the on-premise BI layer of SAP's Business Technology Platform. It transforms data into useful insights that are available anywhere, anytime. The SAP BusinessObjects Business Intelligence suite (BI) allows you to share insights and make better decisions. Our analytics platform supports your growth by offering flexibility. It can be used to support a variety of users and multiple interfaces. This product can be deployed on-premise and requires a perpetual licence. You can license and pay only for the functionality and users that you require.
  • 5
    Apache Airflow Reviews

    Apache Airflow

    The Apache Software Foundation

    Airflow is a community-created platform that allows programmatically to schedule, author, and monitor workflows. Airflow is modular in architecture and uses a message queue for managing a large number of workers. Airflow can scale to infinity. Airflow pipelines can be defined in Python to allow for dynamic pipeline generation. This allows you to write code that dynamically creates pipelines. You can easily define your own operators, and extend libraries to suit your environment. Airflow pipelines can be both explicit and lean. The Jinja templating engine is used to create parametrization in the core of Airflow pipelines. No more XML or command-line black-magic! You can use standard Python features to create your workflows. This includes date time formats for scheduling, loops to dynamically generate task tasks, and loops for scheduling. This allows you to be flexible when creating your workflows.
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