Top 10 Alternatives to Oracle Cloud Infrastructure Operations Insights Recently Reviewed By G2 Community
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SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and environment. Experience industry-leading performance, rest assured with innovative security features, transform your business with AI built-in, and deliver insights wherever your users are with mobile BI.
Dynatrace has redefined how you monitor today’s digital ecosystems. AI-powered, full stack and completely automated, it’s the only solution that provides answers, not just data, based on deep insight into every user, every transaction, across every application. The world’s leading brands trust Dynatrace to optimize customer experiences, innovate faster and modernize IT operations with absolute confidence.
MongoDB Atlas empowers innovators to create, transform, and disrupt industries by unleashing the power of software and data.
SolarWinds® Observability is a comprehensive full-stack observability solution designed to meet the diverse needs of modern organizations, regardless of their size. This solution provides deep visibility into hybrid ecosystems, enabling users to monitor and manage both on-premises and cloud environments effectively. By optimizing performance and ensuring availability across distributed hybrid IT infrastructures, SolarWinds Observability supports organizations in navigating the complexities of their IT environments. Targeted at IT professionals and organizations that require robust monitoring capabilities, SolarWinds Observability caters to a wide range of use cases. It is particularly beneficial for businesses operating in hybrid environments, where the integration of on-premises and cloud resources is essential. The solution allows users to gain a holistic view of their networks, applications, databases, and user experiences, thereby facilitating better decision-making and operational efficiency. This is especially crucial in today’s fast-paced digital landscape, where downtime can significantly impact service reliability and customer satisfaction. One of the standout features of SolarWinds Observability is its built-in intelligence powered by AIOps capabilities. This functionality accelerates issue remediation by enabling users to detect, troubleshoot, and resolve problems more efficiently. The advanced predictive analysis and anomaly-based alerts help organizations proactively address potential issues before they escalate, ultimately reducing downtime and enhancing service reliability. Additionally, the solution's log pattern analysis further streamlines the troubleshooting process, allowing IT teams to focus on strategic initiatives rather than being bogged down by operational challenges. SolarWinds Observability offers flexibility in deployment, providing users with the option to choose between self-hosted and SaaS models. The self-hosted option integrates seamlessly with other SolarWinds services, such as security and storage monitoring, while the SaaS option is tailored for deeper monitoring of custom and cloud-based applications. This adaptability ensures that organizations can select the deployment method that best aligns with their operational needs and infrastructure. Moreover, SolarWinds Observability stands out by consolidating multiple monitoring tools into a single, integrated solution. This not only simplifies the monitoring process but also helps organizations reduce costs associated with managing disparate systems. By offering comprehensive visibility across hybrid IT environments, SolarWinds Observability empowers organizations to optimize their operations and enhance overall performance.
As a cloud-native AI, analytics and data management platform, SAS Viya enables you to scale cost-effectively, increase productivity and innovate faster, backed by trust and transparency. SAS Viya makes it possible to integrate teams and technology enabling all users to work together successfully to turn critical questions into accurate decisions.
Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience.
Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
SAP HANA Cloud is the cloud-native data foundation of SAP Business Technology Platform, it stores, processes and analyzes data in real time at petabyte scale and converges multiple data types in a single system while managing it more efficiently with integrated multitier storage.
Monte Carlo is the first end-to-end solution to prevent broken data pipelines. Monte Carlo’s solution delivers the power of data observability, giving data engineering and analytics teams the ability to solve the costly problem of data downtime.
Instana automatically discovers, maps, and monitors all services and infrastructure components across on-prem and cloud, providing AI-driven application context, issue remediation to enhance IT operations. Instana’s zero-configuration dashboards help reduce toil for SRE and DevOps teams, helping them spend more innovating than troubleshooting. Its automated playbooks seamlessly address common issues and precise ML-driven alerts help manage rapid change, thereby enhancing infrastructure availability. These capabilities in help in predicting and managing IT budgets to support increase in demand during peak cycles.