Like many of Amazon's products, AWS QuickSight has a lot of buzzes these days.
Making analytical judgments based on data is a vital and necessary stage in ensuring corporate success. The majority of a company's data is dispersed over numerous data sources, such as databases, data lakes, and data warehouses. It might be challenging to make analytical conclusions from all of this data in a way that is easy to grasp, interactive, and visible.
This is where business intelligence tools like AWS QuickSight come in. This quick guide will define Amazon QuickSight, its pros and cons for embedded analytics, and whether this tool is worth the hype.
What is AWS QuickSight?
Amazon QuickSight is a popular platform and managed business intelligence and embedded analytics solution that uses machine learning to build data visualizations and dashboards for your team members, no matter where they are. It rivals Tableau and Microsoft's Power BI for corporate intelligence.
AWS QuickSight enables you to link data from a variety of sources. It al o includes user-management capabilities that allow you to expand from a few users to tens of thousands of users, all without having to build or maintain any infrastructure. Amazon QuickSight was first unveiled at re: Invent 2015, and its claim to fame is that it is a faster, easier-to-use business intelligence solution than competitors.
Another major selling feature? QuickSight is fairly cost-effective, with a somewhat lower per-user price than competing business intelligence software.
Amazon QuickSight is a cloud-scale AWS BI solution that allows you to create data visualization and dashboards for your users. Custo ers may link QuickSight to various sources, and user-management solutions are available to help you manage and expand your users. SPICE, an in-memory engine for speedier data retrieval, is also available through AWS QuickSight. Overall, Amazon QuickSight has reasonable per-user pricing and a user-friendly interface for data analysis, visualization, and dashboards.
But does it live up to the height that Amazon claims it has? Let's look at some pros and cons sourced from users around the net.
The Pros You Can Enjoy
There are a few pros of AWS QuickSight worth considering, including the following:
- QuickSight from Amazon is quite portable, making it an excellent tool for embedded analytics. The software is compatible with all devices, including smartphones, tablets, desktops, and laptops. It works with the latest Internet Explorer, Safari, Mozilla Firefox, and Chrome browsers. Amazon QuickSight is an app that allows iOS and Android users to view data on the move. This facilitates enterprises' access to dashboards, insights, stories, and analyses.
- The setup is simple, and the platform is simple to use. Other business intelligence solutions take longer to set up than AWS QuickSight. Setting it up takes less than an hour. All your team has to do now is turn on the SPICE Engine and start combining data.
- AWS QuickSight is very adaptable. One of the most remarkable things about AWS QuickSight is that it doesn't use a traditional cloud architecture. The team is free to experiment with the massive data sets without learning about the behind-the-scenes components. Within minutes after logging up, you may generate visualizations using the dashboard. Because of its cutting-edge technology and several documentation procedures, Amazon QuickSight's adaptability grows with each use.
- With AWS QuickSight, data source compatibility is rather excellent. It's simple to combine data from diverse sources. Importing or connecting data sources is another way to get access to them. Amazon QuickSight can be utilized if the data can be accessed online.
- When it comes to Amazon QuickSight, scalability is another issue to consider. One of the most impressive features of this business intelligence tool is its ability to handle numerous business domains while also computing business metrics separately. QuickSight is the tool for your business if you have ten thousand users or need to search through massive information. This implies that without any glitches or delays, all your users will be able to access and work on the datasets simultaneously. They can work with enormous data volumes thanks to cutting-edge data engine technology.
The Cons You Must Consider
Amazon QuickSight has some pitfalls that must be considered, including the following:
- There are a few visualization possibilities, making QuickSight much more limited than similar platforms. While the built-in visualization engine is fantastic, it does have certain drawbacks. QuickSight has been difficult for businesses since several helpful, and required visualization kinds are not accessible. This contains Gantt charts, candlestick charts, high and low comparative charts, and other chart and graph choices.
- The process of refreshing SPICE data sets has not yet been automated. The dashboard may be programmed to revive every hour using Amazon QuickSight's chosen edition subscription. The team will need to use the event-driven-based system to automate the process of creating a real-time dashboard.
- On-premises data sources do not have any flexibility.
- AWS QuickSight does not provide a free trial, a free version, or premium consulting and integration services. At least one of those features is available in many similar embedded analytics packages.
- For many sorts of graphs and charts, the possibilities are pretty restricted.
- In QuickSight, you can't communicate a data story as well as you can on other similar platforms.
- According to users, Outsider clients cannot access visualizations within the program, as they must be a member of the specified team.
- SPICE and overall visualizations have also been observed to slow down by users, particularly with massive datasets.
Bottom Line - Is AWS QuickSight Worth It?
When it comes down to it, AWS QuickSight has some merit in a few different areas, especially in terms of scalability.
However, when it comes to embedded analytics, AWS QuickSight is often not a good choice, especially if you are not already invested in the AWS environment.
While researching options, we invite you to check out Yurbi, an on-premise, white-label, embedded analytics tool with a clear and transparent pricing model.
On-premise means you can deploy it within AWS, another cloud infrastructure, or even your data center.
A white label means you can customize the interface and the domain to match your brand.
Embedded analytics means you can quickly embed dashboards, reports, and even report creation capabilities. Yurbi has the API necessary for seamless integration and the security to support multi-tenant and single-tenant database models.
And transparent cost means no variable pricing based on server size or hours your server runs. Check out our pricing model here.