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Vertica Inside – Embedded Analytics at Scale
Seize the huge growth opportunity for OEM software developers
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GigaOm Data Warehouse Report
Vertica placed in top tier for excellent concurrent loading and query performance
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Vertica on Amazon Web Services
Vertica on AWS Provides Improved Economics and Operational Simplicity
Why Vertica on AWS?
Vertica on AWS is packed with the most comprehensive set of features and functionality – built-in machine learning, advanced analytics, elastic scalability, autoscheduling and autoscaling, fine-tuning capabilities, BI/Visualization integration, data ingestion and more.
Our new Vertica Accelerator managed service is now available, built on Vertica’s proven cloud-optimized architecture. This Vertica-as-a-service takes just minutes to provision and runs in your AWS account, maintaining security and preferred pricing.
Vertica offers multiple deployment modes and consumption models.
Metric
Consumption model
Deployment
Level of Automation
Choose our fully managed service option, Vertica Accelerator, for simple and fast deployment and management, or deploy the Vertica Unified Analytics Platform as a Bring Your Own License (BYOL) option in an environment where you can fully tune every aspect of Vertica.
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