Data Warehouse – VERTICA
Derive Maximum Value From Your Data With A Much Lower Total Cost of Ownership When You Switch to VERTICA
Vertica is the most advanced SQL database analytics portfolio built from the very first line of code to address the most demanding Big Data analytics initiatives.
Vertica delivers speed without compromise, scale without limits, and the broadest range of consumption and deployment models. The core, unified architecture supports all leading BI and visualization tools and works with your current ETL tools to empower your analytics.
Manage Huge Volumes of Data at Exabyte Scale
Vertica delivers a simple, yet highly robust and scalable MPP SQL analytical database for the masses with linear scaling and native high availability. Infinitely and easily scale your SQL analytics solution by adding an unlimited number of commodity servers.
Deliver Faster Analytics
With Vertica, you can gain insights into your data in near-real time by running queries 50X faster than legacy enterprise data warehouses Because operations that took days now take hours and hours now take seconds, your analytics team can be more productive and answer business-critical questions on the spot.
Complementing Open Source Innovations
With an ecosystem friendly architecture that supports Apache Kafka, Apache Spark, Apache Hadoop, Python and more, Vertica brings enterprise level Big Data analytics to your open source projects. Vertica leveraged years of experience in the Big Data analytics marketplace and opened up the platform to use the full power of the Hadoop cluster. Users can perform analytics regardless of the format of data or Hadoop distribution used.
In-Database Advanced Analytics
Vertica offers a robust and ever-growing set of advanced in-database analytics and Machine Learning functions & algorithms so that organizations can conduct the analytics computations closer to the data and get immediate answers from a single place without the need to extract information to a separate environment for processing.
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Integrate with Existing BI, ETL Tools
… And much more
Vertica Advanced Analytics Platform
Vertica Advanced Analytics Platform is consciously designed with speed, scalability, simplicity, and openness at its core and architected to handle analytical workloads via a distributed compressed columnar architecture. The Industry’s Only Infrastructure Agnostic, Unified Advanced Analytics Platform
Vertica’s SQL Data Warehouse is trusted by the world’s leading data-driven companies to deliver speed, scale and reliability on mission-critical analytics. Vertica combines the power of a high-performance, massively parallel processing SQL query engine with advance analytics and machine empower companies to unlock the true potential of data.
Fast Data Pipeline
Exploit big data streams from multiple data sources into Vertica for analytics and moving aggregate data from Vertica into other systems.
In-Database Analytics & ML
Extract, transform and load streamed data with open source software solutions to analyze data and scale with Vertica
Data Lake Analytics
Vertica enables fast insight from Hadoop data lakes. Flexibility of loading from Hadoop or leave data behind to run to run SQL join operations across Hadoop and Vertica data sets.
Key Features
At the core of the Vertica Advanced Analytics Platform is a column-oriented, relational database built specifically to handle today’s analytic workloads. Unlike commercial and open-source row stores, which were designed long ago to support small data, the Vertica Advanced Analytics Platform provides customers with:
- Complete and advanced SQL-based analytical functions to provide powerful SQL analytics
- A clustered approach to storing Big Data, offering superior query and analytic performance
- Better compression, requiring less hardware and storage than comparable data analytics solutions
- Flexibility and scalability to easily ramp up when workloads increase
- Better load throughput and concurrency with querying
- In-database machine learning algorithms and R, Python extensibility
- Less intervention with a database administrator (DBA) for overhead and tuning