In this posting, we will show you the interview between ZDNet and Neo4j which has partnership with Bitnine. The CEO Emil Eifrem presented the next plan of Neo4j. Let’s look into the interview.
Neo4j has done much to popularize the graph database, most famously by helping to analyze the Panama Papers.
ZDNet recently spoke to company CEO Emil Eifrem about the next steps.
When you spend money, are you going to focus on expanding or on R&D?
We are going to be investing across the board. We are investing in product, in engineering, in sales, and in marketing, but the big narrative of this money is investment in product.
We think that ultimately companies should build great product that people want. That’s what we want to do. Yes, we will spend on marketing because getting the word out in America is an important part of that, and ultimately, we should benefit from that.
Now we are at a very interesting point in the graph space. We don’t exactly own that space but we are the only company to benefit from graph in a big way.
For years and years, we were the solo voice in that choir. Now, others are joining the choir. Now some of the major players are announcing products in the graph space. Oracle now has a graph database, as do Amazon, Microsoft, and SAP. We are clearly still the leader in that space by any objective measure, the DB Engine, the external data points. We are as big in this space as everyone else combined.
We are the leader today, but we can’t take anything for granted. If you look at Microsoft, they have a huge amount of money to throw at stuff, so we think that now is really the right time to start more investment in the product to ensure that we really remain the leader.
Surely one advantage for you must be that you have a lot of intellectual property in this market?
We have a lot of unique and proprietary intellectual property, and if it turns out that even though we are building a database, and there have been many databases built before, the fact that we have a database that is centred around relationships, that is centred around connections between the data points, and not just the data points themselves, actually turns a lot of things, I would not say upside down, but I would say it turns them by 90 degrees.
There are several things that are similar to building a regular database, but there are a number of things that are different, especially if you are building what’s called a “native graph database”. That is really where the gold is — building a database that is fully optimized around graph and [shows] connections through data from the ground up.
Now when you do that, you have to break a lot of new ground.
Are there particular areas, whether it be banking, finance, or pharmaceuticals, where you are finding interest?
Yes, over the last two years what we have found that when you are defining new categories, you don’t really know where it is going to be adopted first. But we have the benefit of being open source so that you just sort of let it out.
But now that we have reached true scale, we can look at these and start seeing patterns. A couple of patterns we have seen are that people love to use graph databases for real-time recommendations. Customer A liked this, he has similarities with customer B so maybe we should offer this to customer B. That is a very popular use.
Another one if fraud detection. Using graph databases, you can very easily find patterns in data — that is very much what we do — and fraud detection is a lot about finding patterns. They can be easily used not just for detecting fraud but for prevention too.
That means that when I swipe a credit card, I can get an immediate ‘yes’ or ‘no’ rather than hours later.
Resource : http://www.zdnet.com/article/how-neo4j-is-taking-graph-databases-into-the-mainstream/
BITNINE GLOBAL INC., THE COMPANY SPECIALIZING IN GRAPH DATABASE
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