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Vertica in the Clouds Data Sheet Vertica Advanced Analytics Platform Vertica in the Clouds Vertica maximizes cloud economics for mission-critical big data analytical initiatives, delivering blazing performance and elastic scalability for just-in time deployments on major public clouds–AWS, Azure, and Google Cloud Platform. Packed with the most comprehensive set of features and functionality, Vertica manages massive amounts of data quickly and reliably to provide fast analytical insight. With Vertica, queries run much faster than other analytical databases and without breaking your budget. Product Highlight Vertica Eon Mode Beta Maximizes Cloud Quick View Economics Vertica performs queries 5 to 10 times Vertica is a blazingly fast, elastically scalable, faster than traditional databases, at a With Vertica 9, you can run Vertica in Eon advanced SQL analytics database based on a fraction of the cost and using a fraction of Mode (currently in Beta) on Amazon Web massively parallel processing architecture with the cloud compute and storage resources. Services to capitalize on cloud economics, in-database machine learning that supports the Unlike traditional RDBMS databases, while still enjoying the fast query processing entire predictive analytics process, allowing data which are not designed for analytics and of Vertica. Running Vertica in Eon mode Beta scientists and analysts to embrace the power today’s complex analytics workloads, the separates the computational processes of Big Data and accelerate business outcomes Vertica Analytics Platform is built from from the storage layer of your database. This with no limits and no compromises. the ground up for the cloud to elastically new architecture enables Vertica to scale and independently scale compute and elastically, adapting to varying dynamic • Choice of Cloud Deployment—Get storage resources to deliver breakneck workloads and linearly scaling throughput. maximum flexibility and complete choice– performance on Exabyte data volumes. deploy Vertica on AWS, Azure and Google With Eon Mode, organizations provision Cloud Platform. Key Features and Benefits compute and storage independently. This enables you to elastically scale up and down • Massively Parallel Processing (MPP) Columnar Storage and Execution the cluster to accommodate for analytic Architecture—Build and deploy models workload peaks and troughs. For example, at Petabyte- scale with extreme speed By eliminating costly disk I/O associated with most retail organizations have to over and performance on a unified advanced traditional row-oriented SQL databases, you analytics platform 1 provision for the holiday season. Eon Mode can perform queries 5 to 10 times faster. allows them to provision for normal load And you can store 10x–30x more data • End-to-end Machine Learning then they can add compute nodes to scale per server than traditional databases with Management— Prepare data with functions the query throughput, accommodating patented columnar compression. for normalization, outlier detection, sampling, increased number of concurrent analyst and more—then create, train and score “Scale-Out” Massively Parallel user queries as required for peak periods. machine learning models on massive data sets. Processing (MPP) The Eon Mode architecture makes the analytic database easier to operate even • Simple SQL Execution—Manage and deploy Scale your data analytics solution as much when compute nodes are down. Node machine learning models using simple SQL- as you need by adding an unlimited number recoveries are rapid, reliable, and predictable. based functions to empower data analysts of compute nodes and storage resources to Furthermore, Eon Mode simplifies the and democratize predictive analytics your analytics environment. process of adding and resizing of cluster nodes with no disruption to users or queries. • Familiar Programming Languages—Create Cloud Deployment with a Consistently and deploy C++, Java, Python or R libraries Optimal Experience Extensible In-Database Analytics directly in Vertica with user-defined functions Framework As more and more customers deploy big data in the cloud, Vertica is proven and Achieve open access to in-database optimized to run on all major public cloud processing through a robust development platforms – AWS, Azure, and Google Cloud framework for procedural, user-defined Platform. You can consume and rapidly analytics. In addition to using built-in SQL deploy Vertica in minutes, right from the analytic and aggregate functions, you can cloud providers’ marketplace. Organizations define your own custom functions by using 1 deploying Vertica on at least two different our software developers’ kit (SDK). The SDK Techvalidate reference: http://www.techvalidate. public clouds can seamlessly replicate data features secure sandboxing, and you can run com/product-research/hp-vertica/charts/ between clouds for rapid disaster recovery. the functions in parallel for fast performance. B9F-BA0-073 Data Sheet Vertica in the Clouds At the core of the Vertica Analytics Platform in the cloud is a column-oriented, elastically scalable, relational columnar MPP ahe database, built specifically to handle today’s Lea analytic workloads on your choice of clouds. Advae • Fast big data analytics. Gain insights into Vaat at your data in seconds. Consume, analyze, and make informed decisions at the speed of your business. Data et aon • Maximize cloud economics. Provision your S Storae compute for the queries that you want to run and provision your storage for all the data that ETL aon you want to store. We Sevice e • Elastic scalability of compute and storage. Innovative parallel processing and distributed architecture enables you to elastically scale your analytics by adding compute instances on the fly. aon • Frictionless Cloud Deployment. S Storae Consume and monetize your data in a matter of minutes, not weeks, via seamless deployment from cloud platform providers’ marketplace. Figure 1 Vertica Eon Mode with Separation of Compute and Storage MapReduce, so that you can analyze large Try Vertica Today sets of structured, semi-structured, and unstructured data in near real time. Vertica Vertica is the core SQL database analytics provides in-place querying of cloud data- engine that was purpose-built for the cloud Advanced, In-Database Analytics and lakes, without having to move and re-format with speed, elastic scalability, simplicity, Applied Machine Learning data via direct querying of Hadoop data and openness. With Vertica, your queries run 5-10x faster than any data warehouse Organizations are applying predictive stored in Parquet and ORC, and of Parquet data on AWS S3. or database technology. It’s proven to run analytics to everything from improving at Exabyte-scale and gives you complete machine uptime to reducing customer Automatic High Availability openness to use any BI/ETL tool, and churn. Vertica provides a number of leverage scalable predictive analytics and a machine learning functions for performing Run non-stop with data replication, failover, comprehensive library of built-in advanced in-database analysis at scale without any and recovery. Vertica is optimized for analytical functions. downsampling of data. Out-of-the-box, in- performance and is transparent to your database analytics include event-series integration and operations teams. Get started today and download Vertica pattern matching, event-series joins, Community Edition, a free version of the clustering, linear regression, geospatial Optimized System and Performance Vertica Analytics Platform. Store up to 1 TB support, advanced time series, and more. Management of data and deploy Vertica on a three-node You also get open source analytics libraries, The Vertica Management Console displays cluster. Sign up for Vertica Community including thousands of packages from tuning recommendations from the Edition at: www.vertica.com/try CRAN (Comprehensive R Archive Network). Workload Analyzer tool, addressing a wide Native Support for Hadoop, Kafka, S3, range of system concerns, including empty and More administrator passwords, high CPU usage, and recommendations for better data Vertica includes application programming management. Vertica also makes it easier to interfaces (APIs) for user-defined aggregates, provision and deploy Vertica nodes in AWS analytics, and multi-phase transform via the Management Console, enabling functions. These dynamically integrate you to easily get started with analytics in with Apache Hadoop, Apache Kafka, and the cloud. 2 For additional information please visit: www.vertica.com © 2018 Micro Focus Limited. All rights reserved. MICRO FOCUS, the Micro Focus logo, among others, are trademarks or registered trademarks of Micro Focus Limited or its subsidiaries or affiliated companies in the United Kingdom, United States and other countries. All other marks are the property of their respective owners. .
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