Product Overview/ Introduction Vertica 10

Vertica Analytics Platform 10 Vertica 10 addresses growing data siloes, a mix of cloud, on-premises, and hybrid environments, and the pressing need to operationalize machine learning at scale.

Product Highlights Operationalize Machine Learning – ■ Migrate seamlessly from Vertica in Enterprise Vertica 10 features the greatest deployment Mode to Vertica in Eon Mode for increased Including TensorFlow freedom of deployment. flexibility of any analytical data warehouse on the With Vertica 10, you can both import and export ■ Deploy and store data in Eon Mode on Google market. This fast and extremely scalable platform Predictive Model Markup Language (PMML) Cloud and HDFS in addition to AWS cloud, and gives you the power to conduct business- models. This gives you a variety of new options MinIO and Pure Storage on-premises. changing analytics, including even more for getting your machine learning into production ■ Import and export PMML including TensorFlow advanced machine learning support. Vertica 10 where it can benefit your business, including models to efficiently operationalize machine learning at scale. helps you isolate workloads to prevent conflicts putting TensorFlow models to work. and improve dependability, and provides you ■ Speed queries with ease with the next-genera- • Export PMML – Train models with Vertica tion Vertica Designer, which reduces greater peace of mind with improved security parallel machine learning algorithms, then resource usage by orders of magnitude. features. Several improvements have made it export them in PMML format to score ■ Keep your data secure with a range of security more straightforward to put all that power to work. them elsewhere. improvements, including simplified TLS cert • Import TensorFlow models – Train administration, better LDAP integration, TensorFlow neural network models on Kerberos support for vertica-python, and im- Deployment Flexibility GPU’s where they can learn fast, then proved integration with Voltage SecureData. Because privacy regulations, scalability needs, and import the PMML models and put them to ■ Analyze data in place in complex formats with security restrictions shift constantly, infrastructure work in a production Vertica environment. added support for SQL-based analytics on lock-in can make today’s architectural decisions • Import PMML - Train models in the Maps, Arrays, and Structs in Parquet on S3 tomorrow’s nightmares. Vertica 10 gives you the framework of your choice – Python, Spark, or HDFS. freedom to do everything on-premises today, SPSS, TensorFlow, or even your own shift completely to one public cloud or another custom models – then import the PMML tomorrow, and go hybrid or multi-cloud the day models and put them into production in Vertica. after as your business requirements shift. Here • Manage PMML models inside the are some of the new features in version 10 that Vertica database – Treat these models support that flexibility: as first-class citizens, just like tables, right • Vertica in Eon Mode support for Google alongside data. Cloud Platform – Easy wizard-based con- figuration of new clusters and Manage Your Cluster with a Few Clicks get you up and running in 15 minutes on Several enhancements to the Management AWS or GCP. Console point-and-click interface make it far • Vertica in Eon Mode support for the easier to spin compute power up and down, Hadoop Distributed File System (HDFS) troubleshoot query performance, and generally – Vertica in Eon Mode on-premises op- manage your Vertica in Eon Mode clusters. tions now include Pure Storage, MinIO, and HDFS. • Assess and control the efficiency of - See immediately in interac- your Depot • Migration from Vertica in Enterprise tive visualizations which queries fetch data Mode to Vertica in Eon Mode – from shared storage, and which use the Automatically back up Vertica in Enterprise Depot. Adjust Depot size, and pin the data Mode data, migrate your data catalog to that matters most so it stays in the Depot Vertica in Eon Mode, and revive the data- query after query. base in Vertica in Eon Mode. “Eon is the wave of the future for us. Vertica in Eon Mode is the most efficient MPP database on the market. By that I mean, for each dollar, we get the most processing power.”

RON CORMIER Principal Database Engineer Contact us at: www.vertica.com The Trade Desk Like what you read? Share it.

• Monitor and administer Vertica in Eon built-in advanced analytical and machine learning – Trust That Your Data is Secure Mode on Pure Storage FlashBlades Gain all the power of a cloud deployment Regulations and requirements have gotten stricter functions and algorithms to support the entire and the ease of Management Console on even as analytics demands have increased, and predictive analytics process. Pure Storage on-premises. architectures have gotten more complicated. Get started today by downloading Vertica Vertica 10 provides industry-leading security • Create clusters and databases on Community Edition, a free version of the Vertica – Do it in (AWS) features so you can rest easy. Analytics Platform. Store up to 1 TB of data and minutes with a wizard style interface. – Experience more • Improved LDAP link integrated user authentication across your deploy Vertica on a three-node cluster. • Create clusters and databases on – Do it in enterprise. (GCP) Sign up for Vertica Community Edition at: minutes with a wizard style interface. – • Simpler TLS certificate administration www.vertica.com/try – Create, drop, start, Reduce management burden. • Manage subclusters stop, add nodes, remove nodes – take Find free training and certification courses on • Kerberos support added to vertica-py- complete subcluster control. – Use Python Vertica Academy https://academy.vertica.com thon open source interface and Vertica on Hadoop with confidence. • Hibernate and restore entire data- – No one using the database on bases weekends or holidays? Then why pay for those resources? Hibernate the database Do It All Faster completely, pay only for storage, then revive No one ever says they wish their analytics would the database exactly as it was structured. run slower. Faster analytic query response gives you more power to have a conversation with data, truly understand your business, and even predict Query Complex Data what’s coming. Complex data types like Maps, Arrays, and • Management Console workload ana- Structs can simplify querying, reduce data – Target query performance problems lyzer storage duplication, and speed understanding of and automatically run recommended fixes. some kinds of data. They are standard in large- • Improved query performance on virtual scale storage formats like Parquet. Very few data – Get answers faster. machines storage and processing platforms support these – Achieve bet- • Improved Kafka scheduler more complicated types of data. The data was ter default performance. trapped in those few locations, such as Google – • Next-generation Database Designer BigQuery and Hadoop. Now, you can query that With orders of magnitude less resource us- data with Vertica 10 in place across disparate age, the improved Database Designer now systems, import it to Vertica’s high- performance optimizes projection design even better for consistently faster queries. storage, move it from platform to platform, and unify data sets. – Query • Analyze complex data types Try Vertica Today Maps, Arrays, and Structs in Parquet on S3 Vertica is the analytical data warehouse or HDFS. purpose-built for speed, scalability, simplicity, • Store data in arrays in Vertica native – Use one-dimensional ar- and openness. With Vertica, your queries ROS format rays of primitive types, or in-lined arrays – can run 50–1,000x faster than with any other an array that contains a nested array, also data warehouse or database technology. It’s called a multi-dimensional array – inside proven to run at Exabyte-scale. It gives you the Vertica in the format that provides the power to use any BI/ETL tool, run as a SQL on fastest query response Hadoop engine, and leverage scalable predictive analytics. It includes a comprehensive library of

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