Best Change Management Software for Microsoft Azure

Find and compare the best Change Management software for Microsoft Azure in 2025

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

  • 1
    KACE by Quest Reviews

    KACE by Quest

    Quest Software

    As low as $3/mo/device
    2 Ratings
    KACE is an endpoint management solution that offers a single point of control for managing IT systems across the entire organization. From initial deployment to ongoing maintenance, KACE is designed to fulfill all endpoint security and deployment needs—helping businesses quickly deploy, monitor, and manage their devices using a unified inventory database. KACE improves device security with on-demand hardware and software discovery, patch management, compliance reporting, and real-time monitoring of mobile endpoints. KACE is a Unified Endpoint Management solution that offers a single point of control for managing IT systems across the entire organization, inside or outside your network. This comprehensive solution takes the stress out of keeping devices secure and compliant so you can do more. Unified Endpoint Management by KACE. Where Next Meets Now.
  • 2
    Freshservice Reviews
    Top Pick

    Freshservice

    Freshworks

    $19/agent/month
    9 Ratings
    Freshservice is the right choice if you are looking for an IT service desk solution with simplicity. Freshservice is an easy-to-use ITIL service desk from Freshworks that helps businesses modernize IT and other business functions without the complexity and cost. Freshservice provides everything teams need to manage proactive IT services, including asset management, ticketing, configuration management, enhanced impact analysis, robust incident management functions, and more.
  • 3
    Faddom Reviews

    Faddom

    Faddom

    $1 per node per month
    3 Ratings
    Faddom's software for application dependency mapping uses network traffic protocols in order to automatically map all cloud and on-prem platforms. Get a 24/7, real-time holistic view of all hybrid servers, applications and dependencies. Lightweight. No agents. No credentials. No firewalls. Pricing starts at $1 per node per month. Free for 30 days. Trial is free with no credit card.
  • 4
    Cloudaware Reviews

    Cloudaware

    Cloudaware

    $0.008/CI/month
    Cloudaware is a SaaS-based cloud management platform designed for enterprises that deploy workloads across multiple cloud providers and on-premises. Cloudaware offers such modules as CMDB, Change Management, Cost Management, Compliance Engine, Vulnerability Scanning, Intrusion Detection, Patching, Log Management, and Backup. In addition, the platform integrates with ServiceNow, New Relic, JIRA, Chef, Puppet, Ansible, and 50+ other products. Customers deploy Cloudaware to streamline their cloud-agnostic IT management processes, spending, compliance and security.
  • 5
    Xurrent Reviews

    Xurrent

    Xurrent

    $0 per month Freemium
    Xurrent provides enterprise service management (ESM), a solution that allows seamless collaboration between internal and outside service providers. Xurrent, the only ESM that allows all internal departments like IT, HR, and Facilities to work seamlessly together, as well with managed service providers, to whom some services have been subcontracted, is the only ESM. Xurrent not only supports the ITIL processes but also offers fully integrated capabilities for knowledge management, project management and time tracking. Xurrent is a Self-Service app that enterprise employees can use whenever they need help. Xurrent supports SIAM in addition to its ITSM and ESM capabilities, which support the ITIL, KCS and KCS practices. This management approach becomes increasingly important as enterprises depend on more external providers.
  • 6
    Harness Reviews
    Each module can be used independently or together to create a powerful unified pipeline that spans CI, CD and Feature Flags. Every Harness module is powered by AI/ML. {Our algorithms verify deployments, identify test optimization opportunities, make cloud cost optimization recommendations, restore state on rollback, assist with complex deployment patterns, detect cloud cost anomalies, and trigger a bunch of other activities.|Our algorithms are responsible for verifying deployments, identifying test optimization opportunities, making cloud cost optimization recommendations and restoring state on rollback. They also assist with complex deployment patterns, detecting cloud cost anomalies, as well as triggering a variety of other activities.} It is not fun to sit and stare at dashboards and logs after a deployment. Let us do all the boring work. {Harness analyzes the logs, metrics, and traces from your observability solution and automatically determines the health of every deployment.|Harness analyzes logs, metrics, traces, and other data from your observability system and determines the health and condition of each deployment.} {When a bad deployment is detected, Harness can automatically rollback to the last good version.|Ha
  • 7
    Gable Reviews
    Data contracts facilitate communication among data teams and developers. Don't only detect problematic changes; prevent them at the level of the application. AI-based asset tracking can detect every change from any data source. Drive adoption of data initiatives through upstream visibility and impact analyses. Data governance is a way to shift both ownership and management of data away from the user. Build data trust by communicating data quality expectations, changes and timely updates. Integrate our AI-driven technology to eliminate data issues at their source. You will find everything you need to ensure your data initiative is a success. Gable is an B2B SaaS data infrastructure that provides a collaborative platform to author and enforce contracts. Data contracts are API-based agreements that are made between software engineers who own the upstream data sources, and data engineers/analysts who consume data for machine learning models and analytics.
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