4 min read
As you probably know (unless you’ve been living under an ant hill), Ant-Man is a fictional superhero who first appeared in Marvel comic books, and he’s also a proud founding member of The Avengers. He made his debut on the big screen recently with the advent of this summer’s blockbuster movie, “Ant-Man,” which has, as of last week, already earned $116.8 million at the domestic box office, and $234 million worldwide.
Clearly people love Ant-Man, who has the astonishing ability to shrink in scale, but increase in strength. If you think about it, a similar situation is occurring in the big data world, where the average organization is expected to grow their data by 50 percent in the coming year, according to Forrester Research. But instead of being forced to buy additional storage capacity every 6 to 12 months, organizations are turning to Apache Hadoop in order to process huge amounts of data by connecting many commodity computers together to work in parallel. With MapR, innovations at the file system for faster file access, and an optimized MapReduce shuffle engine let you get more work with less hardware than compared to other distributions.
Let’s take a look at the synergies between these two seemingly very different, yet similar “technologies”:
Now there’s one thing that Ant-Man can do that MapR can’t: Ant-Man can just think about what he wants the ants to do in order to control them. Although at MapR, we’re known for our game-changing innovation, so give us a few years – we may surprise you.
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