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Vertica Advanced Analytics Platform Data Sheet Analytics and Big Data Vertica Advanced Analytics Platform The Vertica Advanced Analytics Platform is consciously designed with speed, scalability, simplic- ity, and openness at its core and architected to handle analytical workloads via a distributed com- pressed columnar architecture. Product Overview traffic optimization, enterprises that embrace Key Features Vertica Advanced Analytics Platform provides Big Data analytics platforms are changing the At the core of the Vertica Advanced Analytics blazingly fast speed (queries run 10–50X dynamics of industries from retail to health care Platform is a column-oriented, relational database faster), exabyte scale (store 10–30X more data to telecommunications to energy and beyond. built specifically to handle today’s analytic per server), openness, and simplicity (use any workloads. Unlike commercial and open-source business intelligence [BI]/ETL tools, Hadoop, row stores, which were designed long ago to Key Benefits support small data, the Vertica Advanced Analytics etc.)—at a much lower cost than traditional What Are the Key Technology Platform provides customers with: data warehouse solutions and a better time to market than unproven open source solutions. Requirements of a Big Data • Complete and advanced SQL-based analytical Analytics Platform? functions to provide powerful SQL analytics Handling Today’s Massive Data Volumes So, just what should you look for in a data ana- • A clustered approach to storing Big Data, In modern data infrastructures, data comes lytics solution to address today and to mor- offering superior query and analytic performance from everywhere: business systems like CRM row’s data challenges? Consider the following: • Better compression, requiring less hardware and and ERP, IoT sensors, tweets and other social ■ Analyze huge data volumes in a unified storage than comparable data analytics solutions media data, Web logs and data streams, gas manner: You are likely looking to analyze • Flexibility and scalability to easily ramp up when and electrical grids, and mobile networks to data at unlimited scale combined with workloads increase name a few. With all this data generated from the need to store your data in the right • Better load throughput and concurrency with so many places, companies are turning to dis- place at the right time. Today, the scale querying parate, lower-cost storage locations to store may be terabytes or petabytes. Tomorrow, • In-database machine learning algorithms and and manage these volumes, adding complex- you may be thinking about exabytes. R, Python extensibility ity and creating silos as they seek to perform ■ Meet business expectations: Users don’t • Less intervention with a database administrator advanced analytics on that data at scale. want to wait for results. Your solution must (DBA) for overhead and tuning provide the scalability to meet service- To manage this volume of data, newer, more level agreements (SLAs) and business innovative Big Data analytics platforms have needs with the best TCO and fast ROI. emerged to keep up with the sheer size and complexity but some struggle to reach all of the ■ Embrace popular tools: If your Big Data data in a unified fashion and others offer only analytics relies on extract, transform, load very limited infrastructure options. Only an ad- (ETL) tools or SQL-based visualizations, vanced analytics platform that can reach all of your analytics platform must provide the data without any underlying infrastructure robust and powerful SQL and also be restrictions will meet the needs of the most certified to work with all of your tools— data-driven enterprises. From data monetiza- not just those from your primary vendor or tion to customer retention to compliance to limited to a single infrastructure platform. Data Sheet Vertica Advanced Analytics Platform The Technology That Makes Vertica Vertica offers maximum scalability for large- have access to live payment card, personal, or So Powerful scale Big Data analytics. It is uniquely designed protected health information in order to deliver Vertica is built from the ground up to handle the using a memory-and-disk balanced distributed business insights. challenges of Big Data analytics. With its mas- compressed columnar paradigm, which makes sively parallel processing system, it can handle it exponentially faster than older techniques for The Broadest Deployment and exabyte scale, and has done so in some of the modern data analytics workloads. Consumption Models most demanding use cases in the industry. Available on-premise, on Hadoop, and in the Because it’s a columnar store and offers ag- Securing Critical Vertica Data clouds, Vertica is a unified, single analytical gressive compression of data, it delivers very Vertica provides end to end security with sup- engine that offers proven Big Data analytics at fast Big Data analytics, taking query times from port for industry standard protocols and part- unmatched speed and scale, forever free from hours to minutes or minutes to seconds as op- ner solutions such as LDAP, Kerberos, TLS, underlying infrastructure. posed to outdated row-store technologies built FIPS 140-2, AWS IAM, and Apache Sentry. ■ Vertica can be deployed on premise in for an earlier era. Finally, Vertica provides very Vertica uses a layered security model and your own data center, in a private cloud or advanced SQL-based analytics from graph provides multiple security, authentication au- in public clouds including Amazon, Azure, analysis to triangle counting to Monte Carlo thorization mechanisms. Vertica uses TLS to Google, or VMware clouds. It’s simple— simulations to geospatial and more. It is a full- establish a secure connection between the just take your Vertica Enterprise license featured analytics database system. And all of client machine and the server. Authentication and deploy the same unified engine on this can be applied to your “hot” data loaded di- and access can be controlled by passwords the clouds. If you need extra capacity rectly into Vertica for the most demanding use stored with SHA, LDAP, Kerberos, and SSL and have no time to stand up onpremise cases as well as to data in external locations like certificates. Further, Vertica’s security model hardware, this is an attractive option. HDFS and Amazon S3, ensuring a unified ana- is built on ANSI standard Role based access lytics view without the need for data movement. control, where privileges are assigned to roles ■ The same unified Vertica engine can be to which users can be assigned. Vertica also deployed natively on Apache Hadoop. Vertica’s in-database machine learning capa- has an access policy mechanism that allows Vertica SQL on Apache Hadoop accelerates bilities allow users to take advantage of Big fine-grained access control to row and col- data exploration and SQL analytics while Data while simplifying and speeding up their umn data, including column masking. Finally, running natively on an organization’s predictive analytics processes to make better- Vertica’s logging mechanisms ensure there is preferred Hadoop distribution. informed decisions, compete more effectively, an audit trail of operations performed and this In the Clouds: Vertica software is optimized and accelerate time-to-insight. From data prep trail can be natively exported to another secu- and preconfigured to run on Amazon, Azure, to deployment, Vertica supports the entire ma- rity domain for analysis and persistence. Google, and VMware clouds. Vertica provides chine learning process, and allows models to users, the agility and extensibility to quickly de- be deployed across Vertica clusters, a key re- Vertica also includes high-performance inte- ploy, self-provision, and integrate with a wide quirement for solutions that embed Vertica as gration with Voltage SecureData, an industry variety of BI and ETL software tools. With the their analytics engine. leading security solution to provide end-to-end flexibility to start small and grow as your busi- protection, securing data at rest, in-motion and ness grows, Vertica enables you to transition Every release of Vertica is certified and tested in use. With Voltage format-preserving encryp- your data warehouse to the cloud, to on prem- with visualization and ETL tools. It supports tion and tokenization technologies, protection ises, and back seamlessly. With this level of popular SQL, and Java Database Connectivity is enabled at the data field and subfield level. agility, there’s no need to compromise. (JDBC)/Open Database Connectivity (ODBC). This preserves characteristics of the origi- This enables users to preserve years of invest- nal data, including numbers, symbols, letters, On premise: Vertica Advanced Analytics Plat­­ ment and training in these technologies be- and numeric relationships such as date and form is a “shared-nothing,” distributed database­­ cause all popular SQL programming tools and salary ranges. It also maintains referential in- designed to work on clusters of cost-effective, languages work seamlessly. Leading BI and vi- tegrity across distributed data sets so joined off-the-shelf servers, and its performance is sualization tools are tightly integrated, such as data tables continue to operate properly. With scaled simply by adding new servers to the Tableau, MicroStrategy, and others and so are Voltage SecureData, the majority of analytics cluster. The grid architecture of Vertica reduces all popular ETL tools like Informatica, Talend, can be performed on the de-identified data in hardware and scaling costs substantially (by 70 Pentaho, and more. its protected form. Data scientists need not to 90 percent) when compared to traditional 2 Contact us at: www.vertica.com databases that require “big iron” servers with many CPUs and SANs. Clustering also speeds up performance by parallelizing querying and loading across the nodes in the cluster for higher throughput. On Hadoop: When used together with Hadoop, Vertica for SQL on Apache Hadoop installs di- rectly in your Hadoop cluster and empowers your organization to use a powerful set of data analytics capabilities and do far more than ei- ther platform could do on its own.
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