In the pursuit of these goals, organizations must not sacrifice long-term choice and analytic performance. Whether your organization is shifting all of its data to the cloud or taking a hybrid approach, Vertica provides the most performant analytical database with complete flexibility for on-premises, big data cloud and hybrid deployments. Packed with the most comprehensive set of features and advanced analytics and machine learning functionality, Vertica brings blazing fast performance and elastic scalability to all major public clouds.
Gain insights into your data 50x faster or more. Consume, analyze and make informed business decisions at the speed of your business.
Provision compute and storage resources independently. Deploy Vertica in Eon Mode to maximize cloud economics for dynamic workloads.
Massively parallel processing and distributed architecture enables elastic scalability by adding compute instances on the fly.
Use subclusters to apply dedicated compute for individual workloads, without the burden of data replication and copy maintenance. DBAs protect SLAs by scaling each subcluster for each workload, then shutting it down when not in use.
Data-driven organizations rely on analytic databases to load, store, and analyze volumes of data at high speed to derive timely insights. This report benchmarks the performance of two cloud-optimized solutions architected for the separation of compute and storage, Vertica in Eon Mode and an unnamed cloud data platform. See how Vertica in Eon Mode performed 40 times faster overall when simulating up to 20 concurrent users.
Vertica in Enterprise Mode provides tightly coupled compute and storage resources for customers with a uniform workload and fixed performance expectations.
Vertica in Eon Mode support (available on AWS and Google Cloud Platform and on-premises with Pure Storage, Scality, MinIO, and HDFS communal storage) capitalizes on cloud-optimized architecture by scaling compute resources up and down, independent of shared storage.
Scale Infrastructure Linearly. Elastically scale your analytics by adding compute resources on the fly as workloads or performance requirements change.
Isolate Analytic Workloads. Designate specific nodes as a sub-cluster to isolate workloads and support multi-tenancy. Designate compute resources to different teams, functions, and tasks.
Simplify Database Operations. Manage database operations through improved node recovery, superior workload balancing, and more rapid compute provisioning.
Hibernate Compute Nodes. Stop and start analytic workloads more efficiently by hibernating compute nodes when they’re not needed.
Bring Cloud Architecture On-Premises. Vertica has partnered with Pure Storage to bring Vertica in Eon Mode to Pure Storage FlashBlade™, giving customers a powerful advanced analytics platform with a fast object storage solution that is built to scale for modern data volumes. With Vertica 10, Vertica in Eon Mode also supports MinIO and HDFS communal storage.
Purchase Vertica with usage-based, per-node hour pricing directly from AWS Marketplace or Google Marketplace. Vertica By the Hour includes free support and lets you get started immediately with no time commitments or license requirements.
Vertica is available as a BYOL (Bring Your Own License) model on AWS, Azure and GCP. BYOL let’s you transition your data analytics workloads from the clouds to on-premises and back seamlessly.
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.