In the News

This is why MongoDB and Cloudera are working together

The two companies first started talking about a deal in November, he said, after they realized that many clients were already using both the database and the analysis platform.

"And increasingly what we saw was some companies were using both, some of them using them both reasonably successfully, but there’s always work involved in getting the two technologies to work together," Asay said. Here's an example Asay gave me: A travel booking website wants to use data to optimize its performance based on user patterns and preferences. MongoDB is well-suited to show flight options based on a particular user's history; Cloudera is better suited to design a site based on broad trends across many users' actions.

Most clients need both eventually, and though MongoDB has already created a "connector" product that could tie into Apache Hadoop (the open-source software that Cloudera builds off and supports), it wasn't as seamless as customers wanted.

Already, engineers from both companies are developing new products that will be demonstrated at the MongoDB event on June 24-25 in New York.

10 Ways to Use Your Data to Make More Money (Really)

Case study #9: New lines of business RMS, a 1,200-employee Silicon Valley company that helps insurance and financial companies model their exposure to catastrophic risk, realized it could grow its revenues by offering customers more real-time access to its risk modeling. So it set out to build a cloud-based product on top of MongoDB, a database that allows RMS to store and easily access its more than 100 billion documents a year, representing hundreds of terabytes of data.

At DataBeat, RMS executives will talk about how previously, its customers had no easy way to access data that was scattered across their various business units. But with the rollout of RMS’s new product, customers can access it all in a single place, and can build their own products without RMS’s interference. Further, by getting clearer upstream and downstream views into the risks of various industries, RMS is using the platform to drive into different lines of business, including non-catastrophic modeling, as well as serving the health and aviation industries.

DevOps Is Great for Startups, but for Enterprises It Won’t Work—Yet

Vendors of devops solutions acknowledge that when selling to the enterprise, they are trying to sell a cultural revolution. They also report that it is typically much harder to sell into development than it is to sell into operations, where there are clearer budget lines for testing and for release management. In order to sell into development, vendors need to first win over individual developers with the efficiency of their solution, for example, by initially eschewing procurement and offering a sandbox environment directly to developers to test out the environment. This can mean getting into a game of network effects within the developer community (something MongoDB has excelled at, for example), then engaging procurement with pre-existing data points around existing developer usage.

The state of big data in 2014 (chart)

Some companies seem to be reaching significant scale and have raised spectacular amounts of money (for example, MongoDB has now raised over $230M, Palantir almost $900M, and Cloudera $1B). But overall, we’re still early in the curve in terms of successful IPOs (Splunk or Tableau notwithstanding) and large exits, although the big companies are getting more acquisitive in the space (Oracle with BlueKai, IBM with Cloudant). In many segments, startups and large companies are jockeying for position and no obvious leader has emerged.

Sequencing, Cloud Computing, And Analytics Meet Around Genetics And Pharma

Another company making heavy use of NLP is Sinequa, which is used by AstraZeneca and many other companies. Sinequa claims to support 19 languages and to be able to index a wide range of data source, from relational databases to tweets. MongoDB, Sharepoint, Google Apps, etc. can all be mined through more than 140 off-the-shelf connectors to index input data. The Sinequa “logical data warehouse” is a combination of an index and columnar database, similar to other search engines.

Tesora Announces OpenStack Collaborations With Open Source Leaders, Red Hat and MongoDB

"We are excited to be partnering with Tesora as they build up the capability of Trove to include MongoDB," said Matt Asay, VP of Business Development and Marketing at MongoDB. "Some enterprises are looking for ways to better manage their MongoDB instances and Tesora can do this by supporting Trove, the DBaaS on OpenStack."

The Daily Startup: Perfecto Mobile Taps FTV Capital for Growth Round, Connections to Finance Firms

At the TechCrunch Disrupt conference in New York on Monday, Union Square Ventures co-founder Fred Wilson said Brooklyn-based Etsy, an online marketplace for crafts and vintage goods that counts USV among its investors, could go public in a year or so, assuming the market for initial public offerings isn’t sour. Wilson also said another USV portfolio company, MongoDB, could go public, and he said the biggest trend in the New York tech scene is the surge in startups focused on the enterprise market. “There has been a sea change.”

Splunk Introduces Hunk 6.1

“The marriage of Hunk and MongoDB enables our joint customers to understand and analyze their data faster than ever,” said Matt Asay, vice president of business development and marketing, MongoDB. “Helping organizations to search and visualize in Hunk from JSON documents stored in MongoDB, with indexing on any attribute, is a powerful new out-of-the-box capability. Hunk can also help to tighten integration for the many joint customers who use both Hadoop for complex data aggregation and MongoDB for document storage by putting data from both environments on one set of dashboards.”

Looking into Fred Wilson's Crystal Ball

How'd things get so frothy? Wilson: "In general, public market valuations got too high, and that went down to the private markets...and now there are a bunch of companies in the private markets that are going to have to deal with that."

Of his investments in New York tech, Wilson nodded to two companies he could see going public in the next few years, whenever the IPO market looks sunnier: Etsy and MongoDB, the SaaS company co-founded by Gilt Group co-founder Kevin Ryan.

MongoDB and Cloudera cozy up; Oracle and IBM in crosshairs?

MongoDB and Cloudera found potential customers regarded the two vendors as competitors. So now they've teamed up to argue that's not the case. At the end of April the companies announced they've aligned their sales and marketing messaging and now co-sell each others' solutions.

Pages