Vertica Analytics Platform Product Overview
What is Vertica?
Vertica is the market-leading analytical database, delivering the best value for the highest performance. Any data analytics, at any scale, anywhere.
Vertica is the analytical database with the best value for the highest performance on any data analytics, at any scale, anywhere.
Store 10-30 times more data for the same cost with up to 90% data compression.
Choose your licensing metric – per TB, per node, or by the hour.
Run Vertica on-premises, on multiple clouds, or in any combination with a single fungible license, including OEM.
Achieve 385% ROI and a payback in less than 6 months.
Vertica is the best analytic platform currently available in the market. It is fast…scalable, and independent from underlying infrastructure.
Shemer Mashiach, DataInfra Solution Lead
Playtika
Run Vertica-as-a-Service or manage the platform yourself.
Vertica Accelerator
Vertica as a SaaS offering that delivers a unified, high-performance advanced analytics and machine learning platform in your AWS cloud account.
Vertica Unified Analytics Platform
Customer-managed, advanced analytics and in-database machine learning platform that runs on-premises, in the clouds, and supports Kubernetes (K8s).
Experience the market-leading analytical database that gets you any data, any scale, anywhere.
Vertica is built for the most demanding analytical use cases. It runs more analytics with less hardware by scaling efficiently and intelligently, lowering your storage and compute costs.
Are you looking for a comprehensive view of Vertica capabilities?
Read the Vertica Overview Data Sheet for more details.
What Your Peers Are Saying
it was amazing
April 12, 2023
Vertica is known for its versatility, speed, and investigation capacities. It is intended to deal with a lot of information and perform complex questions continuously. Vertica likewise has a columnar stockpiling design, which takes into consideration quicker information recovery and pressure. Vertica upholds a large number of information types, including organized, semi-organized, and unstructured information. It likewise offers worked in AI capacities, permitting clients to perform progressed examination and prescient demonstrating straightforwardly in the data set. Moreover, Vertica has an easy to understand interface and gives progressed investigation works, for example, geospatial examination, text search, and time-series investigation. In general, Vertica is a strong data set administration framework that is great for information driven associations hoping to dissect a lot of information rapidly and productively.
Excellent
February 7, 2023
Everything about vertica It's a very good loved it very much
Speed up with this
February 6, 2023
Can perform any type of analytics, in our use-case we use Time Series, Pattern Matching by ingesting data gathering from different data sources available performing parallel processing within a short span of time as it is quick. Either get the work done on-premise or on cloud or a mixture of both would do too. Being in the BigData industry, it supports even Parquet and ORC data formats too which is a small but a useful advantage too.
Vertica is good tool if you are looking for managed analytical database with low Ops.
November 18, 2022
Easy to deploy both on-prem and on cloud.
A good, versatile analytics data wh in the current market
November 15, 2022
It is faster, cheaper, and reliable. It also supports heavy ETL and BI queries to subsecond Api processes. It can also integrate with other products to encrypt sensitive data.
Vertica is built for the scale and complexity of today’s data-driven world.
The Total Economic Impact™ Of Vertica
See how our analytical database drives better business.
Considering a SaaS option for data analytics?
Read why McKnight consulting puts Vertica on top in this cloud database performance study.
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Learning with a Unified
Analytics Architecture
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See how Vertica can unify analytics by offering an open,
scalable, and elastic database with many powerful features
and deployment options.
