The Data Analytics industry is growing rapidly. There are many different tools for working with data. Therefore, different rating lists offer a wide variety of products. What to choose?
To answer this question, we examined 10 different rating lists and collected the top 5 Data Analytics tools that were found most often:
1. Tableau is data visualization tool; the thing that makes it different from other platforms is its unparalleled simplicity. Namely, Tableau comes with a drag-and-drop function that allows you to change, customize, and rearrange data visualization elements as you wish. But this is not the only feature that makes Tableau such an important data analytics tool.
Tableau is available in multiple formats, including individual and team-focused platforms.
2. RapidMiner is an open-source tool with tons of add-ons and in-depth data analytics capabilities that you can apply to literally any kind of business out there.
RapidMiner automates most of the analytical processes and simplifies operational procedures, leaving you with enough time to focus on data interpretation exclusively. The platform has a nice dashboard with a set of basic functions, so it’s not difficult to get used to it. While RapidMiner is not cheap and there are many different pricing plans to check out.
3. Apache Spark is a massive open-source tool built for diligent data analysts. With more than 80 operators, you can use this service to figure out gigantic datasets and design the corresponding analytics reports. The platform works with all of the major programming languages, including the likes of SQL, Java, Python, R, and Scala.
Based on cutting-edge technologies such as a query optimizer and DAG scheduler, Apache Spark can speed up internal operations up to 100 times. Another advantage of the tool is that you can run it on all sorts of devices, apps, and operating systems. And that’s not all.
In addition, you can contact the expert community via email or use Jira for issue tracking.
4. SAS is a programming environment and language for data manipulation and a leader in analytics. SAS is easily accessible, managable and can analyze data from any sources. SAS introduced a large set of products in 2011 for customer intelligence and numerous SAS modules for web, social media and marketing analytics that is widely used for profiling customers and prospects. It can also predict their behaviors, manage, and optimize communications.
To determine the price of the platform for your team, send an online request through the company’s website.
5. Talend is made to automate data integration, filtering, and management.
The developers of this platform describe it correctly when they say, “Talend uses native code generation that lets you run your data pipelines seamlessly across all cloud providers and get optimized performance on all platforms.”
Talend gives all users the opportunity to test their services free of charge. After a trial period, you get to choose among several packages.
And here are some technologies that did not fall into our top five, but also worth your attention:
KNIME, Qlick, Skytree, lumify, ZOHO, Apache Hadoop.
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