Vertica on AWS Provides Improved Economics and Operational Simplicity
Why Vertica on AWS?
Vertica, an AWS Data & Analytics Competency Partner, is packed with the most comprehensive set of features and functionality – built-in machine learning, advanced analytics, elastic scalability, fine-tuning capabilities, BI/Visualization integration, data ingestion and more.
With multiple deployment modes and consumption models, Vertica provides much needed flexibility for organizations wanting to start small and scale as their cloud analytics workloads change.
Choose the deployment mode and consumption model that fits your needs
Consume by the Hour
Purchase Vertica with usage-based, per-node hour pricing in AWS Marketplace. Vertica By the Hour includes free support and lets you get started in minutes with no long-term license requirement.
Bring Your Own License
Vertica is available as a Bring Your Own License (BYOL) model on Amazon Web Services. BYOL let’s you transition your data analytics from existing on premise workloads to the AWS Cloud.
Analyze S3 Data
Want to analyze your data lake at an economically favorable price? Take advantage of the Vertica External Tables add-on to analyze all of your data in Parquet or ORC formats stored in Amazon S3.
Vertica Analytics Platform Benefits
Blazing Performance
Gain insights into your data 50x faster or more. Consume, analyze and make informed business decisions at the speed of your business.
Maximum Cloud Economics
Provision compute and storage resources independently. Deploy Vertica in Eon Mode to maximize cloud economics for dynamic workloads.
Elastic Compute Scalability
Massively parallel processing and distributed architecture enables elastic scalability by adding Amazon EC2 instances on the fly as they are needed.
Amazon S3 Integration
Run SQL queries directly against HDFS data lakes or Amazon S3 object storage using External Tables, without moving the data into Vertica.
Exploring Amazon S3 Object Storage
Looking for a way to get the most out of data in Amazon Simple Storage Service (S3) with comprehensive advanced analytics and in-database machine learning functions? Watch this 45 minute demo to learn how you can use Vertica to analyze data storage in Amazon S3 while avoiding data movement and reloading.
Vertica in Eon Mode on AWS
Watch this webcast to learn how Vertica in Eon Mode enables organizations to run dynamic workloads with the power of separating compute and storage resources. The webcast will cover how Vertica runs on AWS Cloud to meet your technical, operational, and financial goals as well as a deep dive on the innovative Eon Mode architecture. Watch the WebcastTwo Modes. One Engine. Zero Limits.
Vertica offers two deployment modes for getting analytics up and running on AWS. Both modes leverage one unified Vertica engine for the fastest performance at-scale with zero limits.
Enterprise Mode
Vertica in Enterprise Mode provides tightly coupled compute and storage resources for customers with a uniform workload and fixed performance expectations.
Eon Mode
Vertica in Eon Mode enables the separation of compute and storage to capitalize on cloud economics and dynamic workloads by scaling compute resources independent of shared storage.
What Our Customers Are Saying
We have found Vertica in Eon Mode as a game-changing, analytics database option that handles dynamic workloads on AWS. Vertica in Eon Mode scales compute resources independent of shared storage to deliver fast performance, linear scaling, and added concurrency – increasing operational efficiency by orders of magnitude and significantly saving on the TCO.
Avi Argaman, Program Manager Analytic Solutions Platform - R&DPhilips Medical Systems
What Our Customers Are Saying
The cloud has incredible potential for BI and data warehousing through truly fast and flexible data analytical platforms that feature separation of compute and storage architectures. Through our benchmark testing, Vertica in Eon Mode has proven to deliver incredibly fast performance and rapid elasticity for dynamic analytical workloads. We anticipate meeting the growing demand for on-premise to cloud migrations as well as new analytical workload projects that will be best served through this new, cloud-optimized architecture.
Rohit Amarnath, CTO and FounderFull 360