NoSQL databases: All content tagged as NoSQL databases in NoSQL databases and polyglot persistence
Cloudant has received an undisclosed investment from Samsun Ventures
- Cloudant PR: Samsung Ventures Adds Cloudant to its Portfolio of Leading Mobile Service Solution and Data Network Companies
- TNW: Samsung Ventures continues its investment offensive with DBaaS company Cloudant
- GigaOm: Samsung Ventures backs Cloudant with undisclosed investment
- WSJ: The Daily Startup: Cloudant Accepts Samsung Backing and ‘Long-Term Vision’ - Venture Capital Dispatch - WSJ
- TechCrunch: Samsung Invests In Cloudant, A CIA-Backed, YC Alum That Specializes In Database-As-A-Service Technologies
- DataCenterKnowledge: Samsung Invests in Cloudant, Prepping for ‘Internet of Things’
Think Big Analytics, a Big Data consulting company raised $3mil. from former Cisco executive Dan Scheinman and WI Harper Group
Hortonwork’s announces Certification Program for Apache Hadoop
[…]today announced the launch of the Hortonworks Certified Technology Program, designed to help customers choose leading enterprise software that has been tested to integrate with Hortonworks Data Platform (HDP), the only 100-percent open source Apache Hadoop distribution. By certifying technologies, Hortonworks is taking the risk out of the technology selection, thereby accelerating and simplifying customers’ big data projects. The Program strengthens and expands the Apache Hadoop ecosystem, while helping to increase the enterprise capabilities of Apache Hadoop.
I assume the model here is that vendors pay Hortonworks for this certification and they can use the Hortonworks stamp when talking to customers.
DataStax’s Next Great Data Developer Contest
Last, but not necessarily money-related:
MySQL 5.6 Released
I’m still reading about what’s new in MySQL 5.6, but what caught my eyes while skimming over the docs is support for online DDL.
Original title and link: NoSQL and Big Data Money News ( ©myNoSQL)
The season of predictions is here. Chris Kanaracus in an all-bold post, quoting analysts:
Jon Reed: “Expect SAP to purchase an up-and-coming “big data” product or vendor, and perhaps several, including at least one that specializes in integration with the Hadoop framework for large-scale data processing”.
I’m still scratching my head to come up with the long list of product or vendors specialized in integration of Hadoop that SAP could acquire.
Curt Monash: “Expect plenty of additional adoption for Hadoop. Everybody has the ‘big bit bucket’ use case, largely because of machine-generated data. Even today’s technology is plenty good enough for that purpose, and hence justifies initial Hadoop adoption.”
What I hope to see happening is that besides the companies putting together the building blocks to make Hadoop friendly enough (real work) and the companies claiming integration with Hadoop (not that fantastic work), there’ll be some companies that take the Hadoop stack and built tools whose immediate impact on the business can be measured. Basically vertical solutions applying the Hadoop stack to specific markets, segments, and scenarios.
The main challenge of “Big Data” these days is not that there isn’t value behind it. It’s the measurability of this value. What each company looking into Big Data tries to answer is what value does big data carry for my case? This is a founded question as not every company has an infinite budget, time, and magic resource pool.
Curt Monash: “Usually when the topic of alternative databases comes up, the incumbent is often Oracle or IBM DB2. But in 2013, MySQL could be playing the latter role. NoSQL and NewSQL products often are developed as MySQL alternatives.
Until now NoSQL companies have understood that the competition is not with each. The huge market that relational databases have it covered has enough potential to welcome a few solid NoSQL solutions and there’s no long term need to fight over the few people that already paid attention to them.
Make your bets.
Original title and link: Three Analyst Predictions for 2013: Hadoop, SAP, and MySQL vs NoSQL ( ©myNoSQL)