In the News

IBM's Acquisition of Cloudant and the Walmart Effect In Tech

... The acquisition of Cloudant will be central to IBM's MobileFirst solutions as well as its Worklight application for developing mobile applications. From an industry perspective, the acquisition represents a huge coup for the NoSQL space in general. CouchDB has historically not had the traction of MongoDB, Cassandra and Couchbase, so we should expect brand name tech companies to make similar offerings for the likes of MongoDB in the ensuing few months. Moreover, IBM's acquisition of Cloudant testifies to the increasing emergence of cloud and big data behemoths with solutions for both hosting infrastructure, as well as database solutions that accommodate enterprise needs for scalability and the ability to store unstructured data....

SharesPost 100 List

The SharesPost 100 is our list of what we think are the very best late-stage venture-backed private growth companies.

In assembling the SharesPost 100 list each quarter, SharesPost leverages a proprietary multi-factor ranking process that incorporates criteria including, but not limited to:

Revenue growth
Market potential
Product stage
Management team
Investor quality

The result? Our list of a veritable who's who of some of the world's most innovative, compelling private companies.

Is it finally time to integrate a NoSQL solution into your enterprise apps?

... A NoSQL solution doesn't rely on data laid out in an orderly fashion in tables that are all linked closely together in a relational manner, which is the standard SQL based approach. With tables, users have the ability to carry out very refined and detailed queries to extract data in the form of reports. However, SQL databases can be cumbersome to maintain—especially as the amount of data increases exponentially. And a bigger problem than being difficult to maintain is the fact that they simply can't scale linearly beyond a certain point.

Kelly Stirman, Director of Product Marketing at MongoDB, describes why keeping data up-to-date in a traditional database can be a challenge. "The relational data model spreads data across many tables. There might be thousands of tables for one application. If you need to update an object in the data layer, you're coordinating the updating of data across many tables in one operation. You need sophisticated transactions to ensure the integrity of that update across many tables." Stirman says a NoSQL approach using document stores is less complex. "The data model is very different. Instead of trying to map a large, complex schema to objects, you have a direct mapping of documents to objects. Updating an object is as simple as updating a single document." ...

Big Data: Are you ready for blast-off?

For large businesses "the cost of data storage has plummeted," says Andrew Carr, UK and Ireland chief executive of IT consultancy Bull. Businesses can either keep all their data on-site, in their own remote data centres, or farm it out to "cloud-based" data storage providers.

A number of open source platforms have grown up specifically to handle these vast amounts of data quickly and efficiently, including Hadoop, MongoDB, Cassandra, and NoSQL.

Big Data : le concept de mieux en mieux compris, les projets en production à la hausse

Non seulement les entreprises comprennent mieux le Big Data , mais elles commencent également à structurer leur usage. C’est une des conclusions que l’on pourrait tirer de deux études publiées séparément en ce début 2014, l’une réalisée par JasperSoft auprès de sa communauté d’utilisateurs - très aguerris à la problématique Big Data et à leur usage dans l’analytique notamment - , et l’autre émanant du très populaire cabinet d’analystes Gartner. Le Big Data sort quelque peu de l’ombre pour prendre forme dans des projets concrets, faut-il ainsi comprendre.

Ainsi, si l’on en croit les chiffres récupérés auprès de la communauté Jaspersoft (1 600 utilisateurs dont 60% de développeurs), la compréhension du phénomène Big Data, et de ses implications sur le modèle économique, se seraient nettement améliorés l’année dernière, déclenchant, par effet direct, la mise en place de réels projets financés par les entreprises - et donc supportés par le management. Rangeant ainsi le Big Data aux côtés des technologies plus matures, capables d’attirer l’attention des DSI, pour la production - et non plus uniquement pour de simples prototypes.

The Rise And Future Of The New York Startup Ecosystem

Like many who have been active in the New York startup ecosystem over the past decade, I am optimistic about its future. The last 10 years have seen an increasing number of startup successes in New York.

Shutterstock, Tumblr, AppNexus, Gilt Groupe, MongoDB, Etsy, Buddy Media, Warby Parker, Kickstarter, Gerson Lehrman, and OnDeck Capital are among them, and there are many others on the rise. Venture and angel funding are increasing, large Internet companies including Google and Facebook are growing their New York offices, and Cornell and Technion are collaborating to build a large engineering campus on Roosevelt Island...

Is there a bubble? How tech valuations have fared

Nearly all of the tech companies tracked by Crain's have seen their valuation increase since last year, including MongoDB which is worth more than double its 2012 value.

Crittercism turns to MongoDB to help manage mobile data

...Vice-president of business development at the firm Lars Kamp explained: "Chief information officers are seeing their entire business shifting to mobile for all types of applications, but old IT infrastructures can't support new use cases."

He added MongoDB allows Crittercism to bridge the gap between traditional big data management solutions and the performance demands of the new generation of mobile applications. The technology is easy to scale up over time and addresses a range of use cases that are driven by consumer, enterprise, geopolitical and regulatory demands.

Mike Chesnut, director of operations engineering at Crittercism, added that for startup firms, identifying the problems that need to be addressed is equally as important as figuring out how to solve them - and both tasks require a high level of flexibility from IT tools.

"MongoDB's dynamic data model has allowed us to change how we store, represent and use data, evolving development on the fly as our needs change. We are confident that MongoDB will continue to support our growth as we expand our global footprint," he said.

The database solution helps Crittercism spot patterns and identify emerging trends due to its ability to centrally store and analyse data gathered from multiple sources, including mobile information.

In addition, MongoDB delivers the flexibility to store and analyse unstructured data that varies by application, use case and diagnostic parameter, while Crittercism relies heavily on MongoDB Management Service for performance visualisation and monitoring of its clusters...

Pulse 2014 : avec BlueMix, IBM franchit enfin le pas du PaaS

Dans les relations parfois tendues entre les études et la production du service informatique (prestataires inclus), la tendance « devops » vise justement à supprimer ces frictions inutiles et onéreuses en délais. Pulse s’inscrit logiquement dans ce mouvement, car avec le cloud, ces frontières deviennent plus ambigües et les interdépendances beaucoup plus critiques.

L’Open Source inonde le big data

Les principales solutions de big data sont Open Source, tel est le constat de la société Smile qui vient d’éditer un livre blanc intitulé Big Data, analyse de la valorisation de masse de données recensant l’ensemble des applications pour une exploitation des données.

Evidemment, cette affirmation vient d’une société du monde open source mais le panorama proposé par la SSII spécialisée montre bien la pénétration du logiciel libre dans le big data. « Il est possible de mettre en place une solution décisionnelle big data complète uniquement basée sur des solutions Open Source sans coût de licence, écrit Florent Béranger, directeur de projets Décisionnel et coordonateur du livre blanc. Toutefois, des versions commerciales basées sur de l’Open Source apportent des facilités qui vont dans le sens de la productivité de mise en oeuvre et de l’exploitabilité des solutions avec des outils d’administration complémentaires notamment ».