Best cloud analytics of 2020 for analysis and reporting of Big Data
The best cloud analytics makes it easier to find actionable insights, especially when applied to Big Data.Best cloud analytics1. Azure Stream Analytics2. AWS Analytics3. IBM Cognos Analytics4. Domo5. Zoho AnalyticsCloud analytics has revolutionized big data and business intelligence, as the profusion of data from a wide array of digital applications can be more easily collected and analyzed from a range of different sources and areas, from systems operations to employee performance.
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However, while a lot of SaaS platform come with built-in analytics, often you'll need to combine different data sets from different sources, or even export data from spreadsheets for use with business intelligence tools.This is where cloud-based analytics software really comes into its own, as not only will it be able to represent all those figures and numbers into clear data visualizations, because it's based in the cloud it means the data can be synchronized and shared across key employees or supervisors.While there are a wide array of analytics programs currently on the market, here we'll feature the best cloud analytics platforms available.Want your company or services to be considered for this buyer’s guide? Please email your request to desire.athow@futurenet.com with the URL of the buying guide in the subject line.We've also highlighted the best cloud computing services.The best cloud analytics at a glance:Azure Stream AnalyticsAWS AnalyticsIBM Cognos AnalyticsDomoZoho Analytics(Image credit: Microsoft)1. Azure Stream AnalyticsAzure's powerful analytics platformTODAY'S BEST DEALS VISIT WEBSITEReasons to buy+No need for additional servers+SQL supported+Machine learningAzure Stream Analytics is the feature in Microsoft's powerful Azure cloud computing platform for processing complex analytics from your data. It aims to be provide information in real-time in a way that is easy to manage even when used on the most advanced applications.There's no need to create and allocate new IT infrastructure or virtual servers for the processing. Instead, commonly used SQL queries can be used to extract basic information, with the ability to add other programming languages such as JavaScript and C# for more complex operations. Additionally, AI and machine learning features are also available to help develop and automate more advanced processes, not least for monitoring data pipelines with millions of concurrent events without incurring any significant latency.As with other Azure services, analytics are entirely scalable according to need and you only pay for the Azure resources you are actually using. Of course, it goes without saying that this may not be the solution for smaller businesses lacking IT staff, but even if they do use Azure there are additional analyst companies who can provide both the analytics and business intelligence from your data.(Image credit: Amazon)2. AWS analyticsPowerful range of cloud-based analytics toolsTODAY'S BEST DEALS VISIT WEBSITEReasons to buy+Multiple programming languages supported+Open standard API's+Strong suite of tools+Fast processingAWS Analytics for Amazon Web Services also offers a wide range of analytics services, covering every feature of the powerful cloud platform according to what information you want to analyze.Like Azure you can use SQL-powered analytics without having to set up virtual servers for interactive analytics. However, you can use different Amazon services to analyze different services according to different needs.For example, you can use AWS Elasticsearch for operational analytics relating to your applications, such as for general monitoring, log and clickstream analytics.Then there's the option to apply a range of analytics tools to data lakes and data warehouses, using machine learning to help uncover additional insights while also automating data retrieval.AWS supports a number of programming languages to ensure you can get the most from your analytics, as well as open APIs using open standards to ensure the most flexible and accommodating service. Additionally, AWS is becoming increasingly fast and efficient in terms of how it stores and processes data, and its integrated suite of services makes it easier than ever to perform the analytics you need on the data you use.(Image credit: IBM)3. IBM Cognos AnalyticsSelf-service business intelligence you can trustTODAY'S BEST DEALS VISIT WEBSITEReasons to buy+Smart AI+Easy visualization+Data augmentationIBM Cognos Analytics is a business intelligence platform and self-service analytics solution that uses AI and machine learning. The aim is to discover patterns of information other products cannot find using advanced pattern detection, and provide both answers and actionable insights through the natural language-powered AI assistant.Cognos Analytics can be run from the cloud or on your premises. Either way, data in the form of spreadsheets or CSV files can be uploaded to the program, where the data sources can be combined and mode
