Why big Data is the new direction of VC continuous investment

What is the reason for VC to big data favor? The three companies themselves are the answer.

Splice machine executives say that using the Splice SQL engine, users will not need to rewrite any existing sql-based applications or BI tools to be able to read data.

MONGOHQ's strength is the database management tool, which helps users expand databases more efficiently. And the company's earnings outlook is also very optimistic, the company's management said that since last year, the business is growing at 20% a month, the current daily processing of more than 5 billion MONGODB database operations.

BloomReach Company focuses on developing large data applications, which can transform enterprise functions by mining data through machine learning, web crawlers and search techniques.

Three companies are among the big data start-ups, and the main reason for their rapid growth is the growing demand for large data applications and new data infrastructures. And these two kinds of continuous integration of the needs of VC has become more large data start-up companies to invest in the original driving force.

The Gartner Research Center, in a recent report, describes how large data will absorb 232 billion of dollars in IT investments by 2016 and proposes a new term for "data capabilities". The term just explains why investment money flows into big data companies like the three.

However, data functionality is only part of the reason. Randy Bias, founder of cloudscaling company, revealed the broader implications of such startups. This, he says, is a new IT model created by "the most influential internet companies, including Google, Facebook and Amazon," which will subvert the market. This pattern will begin with the creation of highly efficient data centers, and then extend to open hardware projects (such as open computing), culminating in the transition to Extended software architecture patterns (mainly in large data projects such as Hadoop and Cassandra).

Only subversion can bring new life and growth, which means that database base providers need to constantly change to have the opportunity to take full advantage of the extended architecture. The development trend of Splice machine and MONGOHQ represents the transformation of the database market, and BloomReach proves that large data applications can fully utilize the extended system and develop into new market trends through the new data architecture. And all of this is not available for traditional SaaS applications.

Large data application to a certain extent represents the development trend of IT industry, which is the main reason VC will continue to invest money in this field.

(Responsible editor: Lu Guang)