Analysis says VC will continue to strengthen investment in large data-type start-up companies

Source: Internet
Author: User
Keywords Investment investment start-up investment start-up expansion investment start-up expansion large data investment start-up expansion large data continuing

This week, splice machine, a big data start-up, completed a 4 million dollar a round of funding to build a SQL database on the Open-source Hadoop Distributed File System, MONGOHQ $6 million in investment to develop its developer-oriented database services BloomReach received 25 million dollars in investment to further expand the application of large data marketing.

The recent developments in these three companies have amply demonstrated why investors are pouring money into big data start-ups because of growing data applications and the need for new data infrastructures. These two converging trends constitute the original driving force for more startups to invest, and, of course, these startups are the leaders in the big data direction.

The Gartner Research Center cited the term "data function" in a report released this week, which explains how big data accounts for 232 billion of dollars in it investment by 2016, and the data function explains why investment funds are flowing into such splice Large data companies such as Machine, MONGOHQ and BloomReach.

But the data feature is only part of it, and this week, Randy Bias, founder of Cloudscaling, commented that the startups represented a broader and more Landy Bias market that was "the largest internet company (Google, Amazon, Facebook, Twitter) leader "model. This internet paradigm began with an extremely efficient data center, extended to open hardware projects such as open Compute, and ultimately completed the transformation of the Extended Software architecture model (Hadoop and Cassandra Large data projects).

It is only when the market format is disrupted that new startups grow, which means that the database base providers need to constantly change to take full advantage of the extended architecture. Splice machine and MONGOHQ represent the transformation of the database market, while BloomReach represents how the new data architecture makes it possible for applications to take full advantage of the extended system and become the next generation of forces that traditional SaaS applications cannot provide.

Splice Machine CEO Monte Monte zweben says popular HBase databases such as Cassandra, NoSQL, and Hadoop can handle a large number of data that cannot be translated into structured tables, rows, and columns, but They do not support a full range of BI products. If this problem can be addressed, customers can combine the benefits of unstructured data processing and flexible schema scalability with NoSQL, as well as with data visualization applications such as SQL BI tools and tableau. NoSQL Community's flexible language architecture and distributed, automated fragmentation system is correct, but it is wrong to discard SQL.

MONGOHQ is one of the first companies to provide database services, and its value appeal is highly reliable and can help developers scale programs. MONGOHQ's strengths are database management tools that help users expand their databases more efficiently. In the future, MONGOHQ's differentiated strategy focuses on increasing enterprise-level functionality to achieve high reliability services, and its profitability outlook is also very optimistic, with management saying that business has grown at a rate of 20% per month since last year and currently handles more than 5 billion MongoDB database operations per day.

BloomReach Company is committed to large data marketing applications. Its three technical network correlation engines (WRE), Bloomsearch, bloomlift enable commercial users ' products and services to be found in all digital channels, making business users ' online sales more profitable by improving the user experience.

Business intelligence applications have shifted from traditional OLAP data sources based on relational databases to a new type of service that connects different data sources, such as social networks and third-party applications. At the same time, venture capitalists will continue to invest in large data bases, while large data applications represent the development trend of IT industry to some extent.

(Responsible editor: The good of the Legacy)

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