Winning: 5 Big Data Analytics Platforms You Can’t Lose With!
When it comes to big data analytics, you have your tools, and then you have your platforms. These platforms are generally designed as all-in-one solutions that cater to varying needs. Complex storage. Data processing. Analyzing. Visualization. They generally aim to cover it all. Let’s take a look at some of the top big data analytics platforms and what they have to offer the organization in need.
Amazon Web Services (AWS)
Amazon proves that big data and cloud computing are a perfect pairing. AWS offers convenient access to and from the cloud, where storage can be scaled to accommodate petabytes in capacity. The analytics portion is handled by Amazon Elastic MapReduce (EMR), which delivers the processing efficiency of Hadoop on top of the e-commerce giant’s high-performance platform. With the ability to tailor your own pricing plan, AWS has some cost effectiveness, and even comes in a free trial version for those who desire a test spin.
Cloudera is the number one distributor of Hadoop, the defacto standard for big data applications. While the company offers support for the open source goodness the Apache project was built on, it integrates quite a bit of proprietary technology for the sake of reliability. Cloud Enterprise offers advanced analytics and data management tools that strive to make big data simple and as flexible as possible. Enterprise search capabilities, interactive SQL, and world-class support make this offering one of the best big data analytics platforms on the market.
IBM Smart Analytics System
As a veteran in the computer hardware space, IBM has an edge that some of its competitors will never be able to overcome – immediate access to all the right software tools, in addition to the server hardware to run them and its very own cloud. IBM owns an entire suite of big data products, but the Smart Analytics System is best suited for this list. IBM Smart Analytics System is an integrated platform that combines deep analytical capabilities, business intelligence, and data mining to give organizations the visibility they need to make faster and smarter decisions.
If there’s a technology trend, then you know Microsoft is all over it. The software giant tackles big data analytics with Azure HDInsight, a Hadoop-based platform that runs in the cloud. HDInsight blends Hadoop’s native features with familiar Microsoft business intelligence tools such as PowerPivot, PowerView, and Power Query. One advantage this platform offers over others is a degree of flexibility that lets developers tap into the framework and use languages such as .NET and Java to enhance its core capabilities.
Never to be outdone, Google entered the big data analytics party with BigQuery. Instead of leveraging Hadoop, Google uses its own technologies to make data processing fast and easy with SQL-esque queries. BigQuery streamlines importing with bulk loading tools that support as much as 100,000 rows per second, and simplifies administration with a user-friendly interface. Google’s platform stands out by striving to make big data affordable. Your first 100 GB of processed data is free, and the pricing model only requires you to pay for the queries and storage you use.
These are a few of several options in a marketplace that is filling up fairly quickly. As you can see, they have a lot in common, but all strive to be unique in their own special way. So what’s your favorite big data analytics platform?