Delta-V Awards - 2016 Edition - The Top Five

Ladies and gentlemen, data scientists of all ages, here is the big finale to 2016. The ne plus ultra companies that have accelerated and improved their positions in the big data and analytics marketplace. It's been no easy task to select, much less rank, all the top 20. I'd like to also note once more that there are many, many other worthy companies ticking right along and executing on their vision, earning new customers, and generally succeeding. And yes, it's all a bit subjective, but I truly believe these are ones that have made the most progress. Here are my final five choices:

Topics: Analytics Big Data Data Management Teradata MapR Amazon Web Services delta-v awards google cloud platform Confluent

VMware and AWS are Enabling Hybrid Cloud with a Common Platform

 

Hello again! This is part 3 of a series of blogs I am writing about hybrid cloud and systems management. In the previous part, I talked about how hybrid cloud was clearly underdefined in the industry and I laid out three specific types of hybrid cloud. Those types were:

  • Common Platform – Where the base infrastructure and virtualization platform are the same, allowing the common use of existing management tools and processes.
  • Common Applications/APIs – Where the end applications or application APIs are the same, allowing common applications to be developed across different platforms.
  • Common Management – Where the management tools have the capability to manage all the different environments, with a common interface and process.
Topics: VMware hybrid cloud AWS Amazon Web Services common platform hybrid cloud Systems Management

EMC Hybrid Cloud Bridges Private and Public Clouds

Businesses of every size are evaluating or integrating with some kind of cloud computing model. But how they get there and who they turn to remains a challenge. At an IT industry level, it also is fascinating to observe which IT vendor's cloud strategy will be successful and how IT professionals leverage trusted relationships they have built with IT vendors. Businesses also see the value in hybrid cloud and want IT to capture the control, management, and orchestration across both on-prem and off-prem consumption models as they broker traditional and new IT services to the business.

Topics: Microsoft EMC public cloud private cloud Amazon Web Services Infrastructure-as-a-Service VMware vCloud Air platform-as-a-service

Big Data Cloud: 2012 Winners and 2013 Outlook - Finalists Amazon Web Services, Joyent, Microsoft

In mid-2012, ESG found only about 10% of organizations working on “big data” projects using public cloud services and infrastructure in the context of the project in some fashion. Few companies ran production big data instances in the cloud and usage was experimental or for initial discovery purposes. Much has been written about security being an adoption hurdle for public cloud for enterprises, in fact security was cited as the #1 concern for big data projects too, a double whammy for cloud plus big data. The next greatest challenge cited for big data was integration, and SaaS apps typically ran in silos for the first decade of the 2000s; in the last few years, cloud demand for integration exploded and many SaaS providers were caught napping. Looking at the evidence from six months ago, it sure seemed bleak for big data on cloud.

But, due to the appeal of quick provisioning enabled by cloud providers offerings Hadoop-as-a-Service, and augmented by several analytics databases made available as-a-service, the latter half of 2012 saw a rapid changing of fortune for big data on the cloud. Mind you that full-scale cloud-based big data implementations remain few and far between—security, data movement, and integration all remain key concerns. But let’s face it, the notion of SaaS big data is every bit as appealing, in terms of provisioning and ease of access/distribution, as SaaS apps. Also, at least in some cases, IT departments found that the type of infrastructure required for Hadoop and parallelized analytics fit nicely into the notion of cloud elasticity.

Topics: Cloud Computing Big Data Data Management & Analytics cloud Enterprise Software Amazon Web Services

At Least a Billion Good Reasons to Pay Attention to Not Only SQL Databases

We just published an in-depth market landscape report called Beyond RDBMS: Not Only SQL Challenges the Status Quo. While the full report is only available to private customers, here is an infographic that highlights some of the key findings about the nature of the Not Only SQL database market.

Topics: IBM Microsoft EMC Data Management & Analytics Enterprise Software database Oracle google NoSQL Teradata sap MongoDB aster Amazon Web Services 10gen Greenplum

The Week That WaaS – BitYota and Redshift

As the industry inevitably marches towards a widening set of cloud services, the layers of the IT onion separate and render themselves “as a Service.” Ironically perhaps, the industry started at the highest layer, applications or SaaS. But PaaS is gaining momentum, evidenced by nearly all the most well-known public clouds exhibiting a variety of PaaS and BI/analytics individual service slices, such as:

DBaaS = Database-as-a-Service
INTaaS = Integration-as-a-Service
DEVaaS = Development-as-a-Service
HaaS = Hadoop-as-a-Service, and its close cousin
BDaaS = Big Data-as-a-Service

Topics: Cloud Computing Analytics Data Management & Analytics cloud Private Cloud Infrastructure Enterprise Software Teradata data warehouse Amazon Web Services BI oracle cloud Public Cloud Service

Another look at the Amazon AWS Storage Gateway

Yesterday, Amazon Web Services (AWS) announced the availability of its AWS Storage Gateway, which acts as an iSCSI target, delivered as a virtual appliance. On-premise servers can connect to the iSCSI device and store their data locally, with snapshots being stored in the Amazon S3 cloud-storage environment.

Topics: Data Protection Information and Risk Management Amazon Jason Buffington disaster recovery cloud storage Amazon Web Services Amazon AWS Public Cloud Service