Vertica gives us the flexibility to tackle Big Data. With Vertica, our organization is ready for the challenges retailers are facing – from Big Data to next-generation analytics.
- - Bruce Yen, Director, Business Intelligence, Guess?, Inc.
In modern data infrastructures, data comes from everywhere. CRM and ERP, sensor and machine-generated data, social media data, Web logs, mobile networks, and a host of industry-specific data sources.
Most companies face challenges in simply storing and managing these increasing volumes of data, let alone performing analytics to learn patterns and trends in that data.
Vertica offers the most advanced unified analytical warehouse that enables organizations to keep up with the size and complexity of enormous data volumes. Vertica helps businesses perform tasks like predictive maintenance and customer retention, financial compliance and network optimization, and much more. By replacing your legacy enterprise data warehouse with the Vertica Analytics Platform, you can change the dynamics of your industry, whether that’s retail, healthcare, telecommunications, energy, or a host of others.
See how Vertica provides better performance, financial savings and rapid ROI compared with legacy Enterprise Data Warehouses
The Benefits of Modernizing your Data Warehouse
Manage Huge Volumes of Data at Exabyte Scale
You are likely looking to scale limitlessly to store or manage massive volumes of data. Today, the scale may be gigabytes or terabytes. Tomorrow, you may be thinking about petabytes or even exabytes. Vertica delivers a simple, yet highly robust and scalable MPP SQL analytical database with linear scaling and native high availability. You can easily scale your SQL analytics solution by adding an unlimited number of commodity servers when the need arises.
Deliver Faster Analytics
Users don’t want to wait for results. Your analytical database should provide the scalability to meet service-level agreements (SLAs) and demanding timeframes for query execution. 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.
Integrate with Existing BI, ETL Tools
If your Big Data analytics relies on extract, transform, load (ETL) tools or SQL-based visualizations, your analytics platform should provide robust and powerful SQL and also be certified to work with all of your tools—not just those from your primary vendor. This enables users to preserve years of investment and training in these technologies because all popular SQL programming tools and languages work seamlessly. Leading BI and visualization tools are tightly integrated with Vertica, such as Cognos, Looker, MicroStrategy, Tableau, and others. So are all popular ETL tools like Informatica, Talend, Pentaho, and more.
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 SQL on Apache Hadoop® offers the fastest and most enterprise-ready way to perform SQL queries on your Hadoop data. We’ve leveraged our years of experience in the Big Data analytics marketplace and opened up our 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
Depending upon your use case, it may be important to look at the depth of built-in SQL analytical functions offered by your analytics engine. You have to look under the hood to see exactly what SQL analytics are offered under these volumes, never mind performing analytics on that data. Vertica offers a robust and ever growing set of advanced in-database analytics and Machine Learning functions and algorithms so that you can conduct the analytics computations closer to the data – all based on SQL. And, import models built in other platforms and languages like Spark, Python, and SPSS using the PMML format. Models built in Vertica can also be exported for scoring in other systems such as edge nodes for IoT use cases.
The Most Flexible Cloud Support in Big Data
Today’s public clouds have made data storage more affordable than ever before, which offers you an alternative to on-premises storage options. But with some data analytics platforms, choosing a cloud vendor causes organizations to get “locked in” to that vendor’s toolsets. Plus, compute costs in the cloud can add up quickly. With Vertica, you can choose among any of the major cloud vendors, combine them, and add in your own on-prem resources for a hybrid cloud environment, while using the tools of your choosing. And you can use Vertica in Eon Mode to greatly reduce the cost of data analysis—whether for scheduled analytics or data science projects.
Vertica helps to optimize health information solutions
- Ensure the Cerner Millennium suite provides the rapid response and overall performance customers have come to expect
- As more and more health care providers around the world began using Millennium, Cerner’s legacy data warehouse solutions was not able to process the volume of data as quickly as it needed to
- To improve efficiency and quality of patient care by speeding analysis of system performance timers and client workflow data, Cerner Corporation moved from an existing general-purpose database to the Vertica Analytics Platform
- Analysis for a client’s 6 million performance timers reduced from 20 minutes to 20 seconds – a 6,000% improvement
- Concurrency raised to more than 450 simultaneous users
- SLAs kept through more proactive management of Millennium hosting environment
- Ability to scale analytics capabilities as demand grows
The Vertica Analytics Platform delivers the speed and massive scalability we need to maintain the high levels of service availability and system performance clients deserve.
- - Bill Graff, Senior Vice President, Cerner Technology Services