Sisense
Looker
Tableau
Qlik
Microsoft Power BI
Domo
QlikSense
MicroStrategy
Amazon AWS
DigitalOcean
Microsoft Azure
Linode
GoDaddy
Google Cloud Platform
Vultr
Heroku
Behind Sisense's drag-and-drop user interface and eye-grabbing visualization options lies a technology that forever changes the world of business analytics software. By removing limitations to data size and performance imposed by in-memory and relational databases, Sisense enables any business to deliver interactive terabyte-scale analytics to thousands of users within hours
Sisense Amazon AWSYou could say a lot of things about AWS, but among the cloud platforms (and I've used quite a few) AWS takes the cake. It is logically structured, you can get through its documentation relatively easily, you have a great variety of tools and services to choose from [from AWS itself and from third-party developers in their marketplace]. There is a learning curve, there is quite a lot of it, but it is still way easier than some other platforms. I've used and abused AWS and EC2 specifically and for me it is the best.
Based on our record, Amazon AWS seems to be more popular. It has been mentiond 374 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Step 1: Visit AWS Website Navigate to the AWS website and click on the create an AWS account button on the top right corner. - Source: dev.to / 5 days ago
When I first started using AWS, I'd often end up spending a lot more as compared to what my expectation, but since the projects were small and the small differences in run-time did not affect the business function that much I used to overlook it. It was only when we started the first major project that we learnt about polling in AWS Lambda and it has been a lifesaver. On a recently completed project, we are... - Source: dev.to / 5 days ago
Solution Using AI APIs:To address this issue, the platform integrated Amazon Personalize, an AI API from Amazon Web Services (AWS), to implement personalized recommendation features. Amazon Personalize uses machine learning algorithms to analyze user behavior and preferences, generating individualized product recommendations. The integration process involved:. - Source: dev.to / 6 days ago
Salesforce is a powerful customer relationship management (CRM) platform that helps organizations manage their sales, marketing, and customer service processes. However, to unlock its full potential, integrating Salesforce with other powerful platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure can provide additional functionalities, streamline processes, and enhance data... - Source: dev.to / 8 days ago
Heroku runs on top of Amazon Web Services (AWS). Key benefits for me are:. - Source: dev.to / 22 days ago
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.
Qlik - Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.
Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.Sign up to Linode through SaaSHub and get a $100 in credit!
