With the exponentially increasing amount of data to deal with, Companies of all sizes now feel it challenging to scale their business models, extracting actionable information from big data efficiently. Here cloud analytics tools come into use. They have revolutionised the data analysis process by making it easier to locate meaningful insights within your cloud storage and enabled businesses to run more responsively.
The market of this ever-evolving technology is booming and anticipated to cross the milestone of reaching £41.3 million by 2030 as more companies now use them as a medium to move away from the siloed on-premises services.
In this post, we will look at the best cloud analytics tools available & how they can help you decipher your data.
Cloud Analytics
Cloud analytics is the process of streamlining, storing, preparing, integrating, and reporting data on demand in the private or public cloud network. Often offered as a SaaS model, it is an alternative to an on-premises data analysis and storage system.
Gyana cloud analytics tools can facilitate Big Data collection from multiple sources to identify the patterns, build predictive models to anticipate future results, and make fruitful business decisions.
Types of Cloud Analytics
You have three choices of cloud analytics to choose from depending on the cloud environment:
- Public Cloud Analytics: A shared and the cheapest system of cloud analysis to save large volume data sets, control big data workloads, leverage AI (Artificial Intelligence), machine learning, and more.
- Private Cloud Analytics: It is a comparatively costly approach that requires you to have a hardware setup hosted at your own data center or by a provider’s site solely for your business. It is great for meeting data regulatory compliances and getting more control over the infrastructure.
- Hybrid Cloud Analytics: It means to host some part of your analytics tool in your own server (private cloud) and use the public cloud for the rest.
Benefits of Cloud Analytics Tools
Data Consolidation
While most enterprises now have to deal with a massive amount of data, it is hard to collect them from multiple sources for a uniform view.
Thanks to advanced cloud analytics software that accumulates all structured and unstructured data from all sources and puts them together for analysis. So the stakeholders can access all essential data from anywhere and make data-driven decisions.
Effortless Sharing and Collaboration
Business data from departments like HR or finance is crucial for uninterrupted company development. When you rely on a web-based data analytics tool, you can access your data from anywhere at any time with any device!
Moreover, these tools feature role-based configurable access control that allows team members and employees to analyse and share data results and collaborate in real-time. This is particularly useful for businesses that rely on multiple agents analysing data in real time with other systems such as LIMS.
Scalability
With the expansion of your business, data volume and workload also increase. Big data analytics tools also excel here by providing you with a more scalable and agile service.
When you deploy a cloud-based solution, you can easily purchase extra storage and resources from the vendor and pay for what you use. On the other hand, in an on-premises system, you have to spend a huge amount on upgrading the current infrastructure for additional storage.
Improves Data Security
Big data tools ensure your data is secured and out of reach from fraudsters. With these highly protected systems, you get more robust access control, industry-standard encryption like SSL, TLS, IP Blacklisting, etc.
Best Cloud Analytics Tools
Azure Stream Analytics
Azure Stream Analytics is a stand-alone yet all-in-one solution to extract powerful insights from your big data of various sources concurrently in real-time! Specially built for mission-critical businesses, this one-stop solution enables you to create an end-to-end serverless analytic pipeline only in some minutes!
With Azure IoT Edge, you get access to Stream Analytics, allowing you to analyse a massive volume of data on IoT devices. Though you cannot add dynamic data, it is a fully managed PaaS service that handles everything and empowers you to only focus on your business logic.
Features:
- You do not need new servers or infrastructure for data processing. You can consolidate essential data with SQL queries.
- Azure Stream Analytics offers you the facility to add various coding languages like C#, JavaScript, and more to execute complex calculations.
- Easy-to-use and comes with an intuitive interface.
- It is a hybrid architecture that enables you to run a query on the edge and cloud simultaneously!
- It ensures 99% uptime and event processing with sub-second latency.
AWS Analytics
As a featured product of Amazon, AWS Analytics is a powerful and reliable tool to store, prepare and interpret a huge amount of structured and unstructured data.
Providing convenient data storage and integrated suites of tools, AWS Analytics is quickly becoming the preference of advanced companies to get better insights into their data and manage data lakes more efficiently.
Features:
- Supports numerous programming languages
- No need for additional virtual servers to run interactive analytics with this SQL-powered tool
- It comes with a powerful suite of tools that have made data analysis easier like never before!
- You can add data to your AWS Analytics straight from AWS IoT Core or use the BatchPutMessage API for incorporating data from Amazon Kinesis, Amazon S3, or other tools.
- For interactive visualisation of your consolidated data sets, AWS Analytics connects you to the Amazon QuickSight dashboard.
Board
Board is another top-notch cloud analytic and Business Intelligence platform specially designed for centralising data sources and empowering business users to analyse, simulate and interpret data better.
It is a one-stop tool that integrates Corporate Performance Management solutions with BI software to enable businesses to make more data-driven and accurate decisions.
Features:
- Board BEAM helps users predict future trends by creating analytics forecasts with automated predictive modeling.
- Effortless searchability allows you to get applications, metadata, and data whenever required.
- Integrable with Microsoft Office for easy import of datasets.
- Easy customisation of reports with a drag and drop interface.
Qlik Sense
It is another excellent tool with an end-to-end data processing facility. Intending to spark your imagination with meaningful data interpretation, Qlik Sense is an advanced AI associative analytics workhouse and robust cloud system.
Features:
- Facilitates enterprises by providing real-time data analytics and team collaboration facility
- With Qlik Sense, now, you can power your enterprise by creating and sharing persuasive and interactive dashboards among the team.
- Its Self-Service analytics feature has made data discovery, preparation, loading, combining, and visualisation effortless even for non-technical users.
