Today, we announced “Dragline,” the code name for the latest release of the HP Vertica Analytics Platform. Focused on the strategic value of all data to every organization, “Dragline” includes a range of industrial-strength features befitting its code name for serious Big Data initiatives.
Our data sheet provides detailed feature descriptions on this release’s full range of capabilities and benefits, so we’ll just focus on three top features that are sure to capture your attention (after all, they came highly requested from our growing customer base).
By the way, learn about these and all of the new “Dragline” features in our upcoming Webinar.
“Project Maverick” – Speed in All Directions
Speed is a given … but what about in every possible direction? “Project Maverick” has multiple elements including fast, self-service analytics about discrete individuals or devices. Live Aggregate Projections, a key, new feature of “Project Maverick,” accelerates the speed and performance of these live lookups by up to 10x – more frequent or highly concurrent queries on an individual customer basis — by computing metrics on the data as it arrives for targeted and personalized analytics without programming accelerator layers.
For telecommunications companies as well as utilities and energy providers who, due to deregulation, are pursuing smart metering initiatives to differentiate from competitors, this capability is hot. With Live Aggregate Projections, these providers can deliver smart metering reports that educate their customers on consumption rates vis a vis their neighbors in promoting a greener planet and establishing a tighter relationship with their provider. Interested in learning how HP Vertica easily chews through the enormous volume and scale of smart meter data and the Internet of Things? Check out our newly published white paper, including detailed benchmarks.
Mixed Dynamic Workload Management – Make ’em All Happy
Another major advancement of “Project Maverick” is Dynamic Mixed Workload Management. Commonly found in many data warehouse technologies and requested by some of our largest customers, this powerful new feature identifies and adapts to varying query complexities — simple and ad-hoc queries as well as long-running advanced queries — and dynamically assigns the appropriate amount of resources to meet the needs of all data consumers.
So, now, you can preserve your precious hardware and system resources, while pleasing even your most demanding internal and external constituents – from analysts who seek ad-hoc insights to data scientists who manage complex analytics to business executives who need customized views or dashboards on Monday mornings.
Cost-Optimized Storage – Don’t Break the Bank
Hadoop is commonly used as a data lake to store bulk data. That’s why with each release, we offer tighter integration that delivers the most open SQL on Hadoop. “Dragline” builds on that strong heritage by helping you to manage multiple storage tiers for cost-effective analytics. You can perform advanced SQL queries on bulk data stored in HDFS using the HP Vertica Analytics Platform without moving the data or using any connectors. You can move data into HP Vertica when your organization requires faster performance in-depth analytics.
HP Vertica supports all of the major Hadoop distributors but the power of MapR and HP Vertica on the same cluster is something special. Join our upcoming Webinar with MapR to get the full details behind this solution and to build your business case for SQL on Hadoop.
Try HP Vertica 7 today and stay tuned for more blog posts and materials to support this release.