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Vertica Advanced Analytics Platform Data Sheet Vertica Advanced Analytics Platform Vertica Advanced Analytics Platform The Vertica Advanced Analytics Platform is consciously designed with speed, scalability, simplicity, and openness at its core and architected to handle analytical workloads via a distributed compressed columnar architecture. Vertica Advanced Analytics Platform provides blazingly fast speed (queries run 10–50X faster), exabyte scale (store 10–30X more data per server), openness, and simplicity (use any business intelligence [BI]/ETL tools, Hadoop, etc.)—at a much lower cost than traditional data warehouse solutions and a better time to market than unproven open source solutions. Handling Today’s Massive What Are the Key Technology Quick View Requirements of a Big Data Data Volumes At the core of the Vertica Advanced Analytics In modern data infrastructures, data comes Analytics Platform? Platform is a column-oriented, relational database from everywhere: business systems like CRM So, just what should you look for in a data ana- built specifically to handle today’s analytic workloads. and ERP, IoT sensors, tweets and other social lytics solution to address today and tomorrow’s Unlike commercial and open-source row stores, media data, Web logs and data streams, gas data challenges? Consider the following: which were designed long ago to support small data, the Vertica Advanced Analytics Platform provides and electrical grids, and mobile networks to Analyze huge data volumes in a unified customers with: name a few. With all this data generated from so manner: You are likely looking to analyze many places, companies are turning to dispa- data at unlimited scale combined with the • Complete and advanced SQL-based analytical functions to provide powerful SQL analytics rate, lower-cost storage locations to store and need to store your data in the right place manage these volumes, adding complexity and at the right time. Today, the scale may be • A clustered approach to storing Big Data, offering creating silos as they seek to perform advanced terabytes or petabytes. Tomorrow, you may superior query and analytic performance analytics on that data at scale. be thinking about exabytes. • Better compression, requiring less hardware and Meet business expectations: Users don’t storage than comparable data analytics solutions To manage this volume of data, newer, more want to wait for results. Your solution must • Flexibility and scalability to easily ramp up when innovative Big Data analytics platforms have provide the scalability to meet service-level workloads increase emerged to keep up with the sheer size and agreements (SLAs) and business needs • Better load throughput and concurrency with querying complexity but some struggle to reach all of with the best TCO and fast ROI. the data in a unified fashion and others offer • In-database machine learning algorithms and R, Embrace popular tools: If your Big Data only very limited infrastructure options. Only an Python extensibility analytics relies on extract, transform, load advanced analytics platform that can reach all • Less intervention with a database administrator (ETL) tools or SQL-based visualizations, of the data without any underlying infrastruc- (DBA) for overhead and tuning your analytics platform must provide robust ture restrictions will meet the needs of the most and powerful SQL and also be certified to data-driven enterprises. From data monetization work with all of your tools—not just those to customer retention to compliance to traffic from your primary vendor or limited to a optimization, enterprises that embrace Big Data single infrastructure platform. analytics platforms are changing the dynamics of industries from retail to health care to tele- communications to energy and beyond. Data Sheet Vertica Advanced Analytics Platform The Technology That Makes are all popular ETL tools like Informatica, Talend, On premise—Vertica Advanced Analytics Vertica So Powerful Pentaho, and more. Platform is a “shared-nothing,” distributed data- Vertica is built from the ground up to handle base designed to work on clusters of cost-effec- the challenges of Big Data analytics. With its Vertica offers maximum scalability for large- tive, off-the-shelf servers, and its performance massively parallel processing system, it can scale Big Data analytics. It is uniquely designed is scaled simply by adding new servers to the handle exabyte scale, and has done so in some using a memory-and-disk balanced distributed cluster. The grid architecture of Vertica reduces of the most demanding use cases in the in- compressed columnar paradigm, which makes hardware and scaling costs substantially (by 70 dustry. Because it’s a columnar store and of- it exponentially faster than older techniques for to 90 percent) when compared to traditional fers aggressive compression of data, it delivers modern data analytics workloads. databases that require “big iron” servers with very fast Big Data analytics, taking query times many CPUs and SANs. Clustering also speeds from hours to minutes or minutes to seconds The Broadest Deployment and up performance by parallelizing querying and as opposed to outdated row-store technologies Consumption Models loading across the nodes in the cluster for built for an earlier era. Finally, Vertica provides Available on-premise, on Hadoop, and in the higher throughput. very advanced SQL-based analytics from graph clouds, Vertica is a unified, single analytical en- analysis to triangle counting to Monte Carlo gine that offers proven Big Data analytics at On Hadoop—When used together with Hadoop, simulations to geospatial and more. It is a full- unmatched speed and scale, forever free from Vertica for SQL on Apache Hadoop installs di- featured analytics database system. And all of underlying infrastructure. rectly in your Hadoop cluster and empowers this can be applied to your “hot” data loaded Vertica can be deployed on premise in your organization to use a powerful set of data directly into Vertica for the most demanding use your own data center, in a private cloud or analytics capabilities and do far more than ei- cases as well as to data in external locations like in public clouds including Amazon, Azure, ther platform could do on its own. It offers no HDFS and Amazon S3, ensuring a unified ana- Google, or VMware clouds. It’s simple—just single point of failure because it’s not reliant lytics view without the need for data movement. take your Vertica Enterprise license and on a helper node to query. It even reads native deploy the same unified engine on the Hadoop file formats like ORC, Parquet, Avro, Vertica’s in-database machine learning capa- clouds. If you need extra capacity and have and others, and writes to Parquet. By installing bilities allow users to take advantage of Big no time to stand up onpremise hardware, the Vertica SQL engine in the Hadoop cluster, Data while simplifying and speeding up their this is an attractive option. you can tap into advanced and comprehensive predictive analytics processes to make better- SQL on Hadoop capabilities, complete 100 The same unified Vertica engine can be informed decisions, compete more effectively, percent of the TPC-DS queries without modi- deployed natively on Apache Hadoop. and accelerate time-to-insight. From data prep fication, and run on any Hadoop distribution. to deployment, Vertica supports the entire ma- Vertica SQL on Apache Hadoop accelerates data exploration and SQL analytics while chine learning process, and allows models to be Monetizing and Making Big Data running natively on an organization’s deployed across Vertica clusters, a key require- Matter to Us All preferred Hadoop distribution. ment for solutions that embed Vertica as their The Vertica Advanced Analytics Platform en- analytics engine. ables organizations to skip the hype and extract In the Clouds—Vertica software is optimized value from Big Data. Here are some examples Every release of Vertica is certified and tested and preconfigured to run on Amazon, Azure, of organizations that have capitalized on their with visualization and ETL tools. It supports Google, and VMware clouds. Vertica provides most strategic asset—their data—with Vertica: popular SQL, and Java Database Connectivity users, the agility and extensibility to quickly de- (JDBC)/Open Database Connectivity (ODBC). ploy, self-provision, and integrate with a wide Intuit—Processes billions of transactions This enables users to preserve years of invest- variety of BI and ETL software tools. With the to deliver highly personalized and rapid ment and training in these technologies be- flexibility to start small and grow as your busi- returns for millions of TurboTax tax cause all popular SQL programming tools and ness grows, Vertica enables you to transition preparation users. languages work seamlessly. Leading BI and your data warehouse to the cloud, to on prem- Conservation International—Helps visualization tools are tightly integrated, such ises, and back seamlessly. With this level of agil- scientists assess the impacts of climate, as Tableau, MicroStrategy, and others and so ity, there’s no need to compromise. people, and land use by comparatively 2 analyzing sites and species on 86 million records in near real time. Cerner—Improves patient care by analyzing clinician’s efficiency in the Emergency Room (EMR) and saved 500 lives to date based on sepsis alert modeling. Anritsu—Replaced their legacy EDW with Vertica as their new embedded analytics database to implement predictive analytics solutions that had been theoretical until now and achieved 351% ROI with a payback of just 4 months. Guess—Delivers essential daily store reports via mobile devices for accurate sales tracking, improvements in merchandise allocation and distribution, and insightful offerings to meet your varying needs—on prem- Learn More At customer purchasing behavior. ise, in the cloud, or on Hadoop. Your needs are www.vertica.com Try it and make your concept a reality. The Ver- unique, so your analytics database should be tica next-generation high-performance SQL too. Evaluate Vertica today at: www.vertica.
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