A new type of business analytics tool has emerged: cloud data analytics. These days, businesses use cloud-based data analytics solutions to virtually visualize important business metrics. Businesses can now abandon the compartmentalized structure of on-premise applications thanks to cloud computing. At Hotfoods, we list the top cloud data analytics tools available in this piece.

What Is A Cloud Data Analytics Tool?

An online platform that enables users to examine analytics data is known as a cloud data analytics tool. Data models, processing apps, computing resources, analytics models, and storage resources can all be viewed through a single pane of glass. These instruments are employed by businesses for a variety of purposes, including business intelligence and network monitoring.

Cloud Data Analytics

The main advantage of using cloud data analytics tools is being able to monitor numerous dissimilar services and datasets from a single place. To submit a report to other stakeholders, for instance, you can first view a variety of business intelligence metrics and real-time insights. Having access to this data makes it easier to operate more effectively and make better business choices.

The Best Cloud Data Analytics Tools

1. IBM Cognos Analytics

With an emphasis on business intelligence, IBM Cognos Analytics uses artificial intelligence (AI) to glean insights from large data sets. The web-based platform enables you to make dashboards and reports to keep an eye on your surroundings. To provide frequent updates on the most recent data, reports can be shared and planned. You can configure the best options for monitoring your environment using the AI suggestions that are included in both dashboards and reports.

Key Features

  • Data cubes that are multidimensional
  • Statistics and suggestions based on AI
  • Provides visual tools for data visualization
  • Options for self-hosting or cloud-hosting

IBM Cognos Analytics

A variety of visualization choices are available to you on the dashboard, including graphs, dials, and other unusual display options that give you quick access to the most important information. The geospatial view is one such representation that provides a map of the location of your services. To make things easier, you can duplicate and paste visual displays when making a new dashboard to improve the monitoring experience.

You can use spreadsheets, CSV files, and databases, both on-premises and in the cloud, to provide data to the app. It’s great that you can import data from such a broad range of sources because it lets you combine different monitoring platforms with a variety of services. Additionally, you can add data sources to your monitoring environment instantly using machine learning to find them.


  • Uses artificial intelligence to autonomously collect conclusions from enormous amounts of data.
  • Excellent for businesses with numerous data collection methods
  • Provides both cloud and self-hosting alternatives.


  • Unsuitable for tiny businesses

2. Microsoft Power BI

A business intelligence tool with cutting-edge analytics features is Microsoft Power BI. You can access a dashboard from Microsoft Power BI that uses visualization to show the most important business data. The dashboard provides real-time analytics streaming so you can quickly make wise choices.

Key Features

  • Works with collections of both structured and unstructured data
  • Excel integration
  • Creates presentations that are appealing

Microsoft Power BI

You can publish and distribute reports to other business stakeholders for more in-depth analysis. The dashboard can be directly connected to Excel searches and other data thanks to the platform’s integration with Excel.

The capacity to use AI to create machine learning models is one of Microsoft Power BI’s standout features. This implies that to extract precise insights from datasets, you don’t need to be a data scientist or analytics expert. Both organized and unstructured data can be managed using models.


  • Provides exceptional data visualization features through programmable widgets and panels.
  • Real-time updates insights to represent ongoing changes
  • Both structured and unstructured data types are supported


  • Offers many features and choices that can be time-consuming to explore

3. AppOptics Custom Metrics and Analytics 

A cloud-based monitoring tool for IT infrastructure and applications is called AppOptics. The applications monitor, known as AppOptics APM, comes with the capabilities for infrastructure tracking. The AppOptics Infrastructure indicator is the infrastructure-only one. To learn more about the efficiency of your networks, servers, and services, you can upgrade either bundle with the Custom Metrics and Analytics service.

Key Features

  • Oversees infrastructure and apps
  • Assembles performance data from tools that are being watched.
  • Comprising a data analyser
  • Consolidates and keeps data for analysis
  • Recalls stored data

AppOptics Custom Metrics and Analytics

Administrators can add calls to the data collection procedures via an API or activate open source agents to collect additional performance metrics using the Custom Metrics and Analytics module. The Custom Metrics and Analytics service’s data gathering possibilities are greatly expanded by these additional interfaces. They also take more time to set up, which may be a little too challenging for some systems managers who are short on time.

AppOptics is not constrained to data collection on a single site because it is a cloud-based application. It can also keep an eye on distant networks, systems with multiple sites, and cloud platforms offered by AWS or Azure. It is possible to combine data from various sources to create a comprehensive statistical overview of your complete system, with the ability to drill down to data from specific devices. It is also possible to customize how the gathered custom data is presented. When viewing the collected data, the administrator has the option of seeing it as simple lists of entries, graphs, or charts.

The additional metrics package augments the AppOptics’ automated system performance data collection. The metrics gathered by the default service are likely to be sufficient for many companies to plan their capacity and maintain faultless service to their users.


  • Provides stunning visualizations of current and past health metrics and resource usage
  • Is built as a cloud service, is readily scalable
  • Monitors the use of all key resources, including the CPU, RAM, and network
  • Can monitor platforms Docker, Azure, and Hyper-V, providing greater flexibility than alternative solutions.


  • Provides a wealth of features that can be time-consuming to completely explore.

Final Thought

There are numerous cloud data analytics products available to you, depending on your use case. We believe that the majority of network kinds and sizes will be covered by SolarWinds’ AppOptics offering. There are many cloud data analytics options available, whether you want to combine the business intelligence powers of Microsoft Power BI or the performance monitoring prowess of a tool like IBM Cognos Analytics.

Pick the tool that best fits your use case when selecting an option. We suggest Microsoft Power BI if you don’t have any AI experience but still want to use an intelligent platform because you can build machine learning models on it even if you’re not a data scientist.

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