Datameer's success is driving big data fools

As a Silicon Valley big data start-up, Datameer met the needs of businesses and tripled the sales of big data fools, making it real money in the Big Data era.

Why promote big data fool Datameer will do? It is precisely because as analytics is becoming the core of enterprise IT, the paradigm of BI-ETL-EDW analysis of the past has been completely out of date and no longer applicable. Datameer's success will also further stimulate big data gold rush, but also for other big data startups pointed out the direction.

For the traditional enterprise, although the commercial value of big data is fascinating, the difficulty of developing and implementing related technologies and the steep learning curve have always been a nightmare. To address this need for democratization of big data, Datameer, a big data startup company in Silicon Valley, developed Products shield the underlying underlying technology behind big data analytics, enabling employees of any department to get up to speed quickly with visual data analysis user interface like spreadsheets.

Datameer's revenue tripled in the past year, with Stefan Groschupf, Datameer's chief executive, revealing that Q3 is expected to sign 100 customer orders this year with an average order amount of up to $ 100,000. In addition, Datameer also provides software subscription services, including enterprise version up to a maximum annual fee of 100,000 US dollars, depending on the amount of data.

Although Groschupf does not want to disclose the names of its clients, Datameer's official website shows that its client list includes heavyweights such as Sears and MasterCard, as well as game startups such as Kabam and Kixeye. Datameer also claims that four of the world's top five multinational banks are their customers.

Big Data, a Big Data Startup Revenue Growing More than just the Datameer, GoodData, a Los Angeles-based business intelligence big data solutions provider, also claims it has tripled its annual revenue. GoodData was founded in 2007, Datameer was founded in 2009. The surge in sales revenue of both companies over the past year marks the big data market is entering a golden period of cash business value.

The secret to Datameer's success is building an easy to use application layer on the popular Hadoop big data storage and management system in the enterprise. In the past, due to the high technology threshold of Hadoop systems, companies often needed to hire high-paying data scientists to deploy big data applications. Datameer's application-level product fools Hadoop, and any business unit manager can visually integrate and analyze data based on his or her needs. For example, HR managers check the sales manager's performance with big data tools.

Datameer's Hadoop + Spreadsheet approach allows organizations to analyze existing data directly, without the need to make changes to the underlying data structure, and to add new types of queries at any time. This solves the current (slow and expensive) limitations of mainstream enterprise data analytics technologies. For example, ETLs are typically used to transfer data to an enterprise data warehouse for use by business intelligence applications, but this process takes 18 months and requires predesign Good data model, in case you missed some of the data query categories, or need to add some, then you can only stare.