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Vertica Announces Vertica 12 for Future-Proof Analytics
Latest version of analytics database enables more deployment flexibility, advanced analytics, and enhanced machine learning
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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 receives multiple Exceptional ratings for key criteria, market and user categories and recognition for future-looking product development
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OpenText Analytics Summit 2023
Boston, May 17 | Malta, May 25-26
The fastest analytics for data-driven results.
Now available as Database as a Service (DBaaS)
Vertica is now
part of OpenText
Extraordinary analytics,
now with the information advantage.
When navigating the data warehouse landscape, it’s best to follow a leader.
See why GigaOm has positioned Vertica as a leader for the third consecutive year in its Radar Report for Data Warehouses.
Powering the World’s Leading Data Disruptors
That’s a three-year customer ROI, a net present value of $10.1 million, and a payback period of less than six months for the Vertica Unified Analytics Platform. Are you getting the value from your analytics warehouse?
The Proof is in the Numbers: The Total Economic Impact™ of Vertica
According to the study, key quantifiable benefits from Vertica customers included:
- $4.4 million eliminated from prior data warehouse costs
- $1 million saved in reduction in dedicated database administrators
- $2.4 million in revenue generated due to machine learning products and machine learning driven productivities
- Much more
Powering Analytics for Pioneers in…
Criteo built a Big Data Center of Excellence with Vertica.
The Trade Desk processes 40,000 reports every day with Vertica.
Simpli.fi delivers insights into ad campaign performance with Vertica.
China PnR achieved 422% ROI and annual average benefit of approximately $1.9 million with Vertica.
MassMutual is evolving a data culture and providing fast analytics and reporting with Vertica and a home-grown ingest engine.
Finansbank unlocks a treasure vault of data with Vertica.
Vertica delivers adaptive data warehouse and AI-supported data-driven decision making.
Cerner optimizes health information solutions to improve efficiency and quality of patient care.
Philips aims for zero unplanned equipment downtime with Predictive Analytics.
Anritsu achieved 351% ROI and average annual benefit of over $3 million with Vertica.
China Telecom provides personalized services for tens of millions of customers by harnessing the power of data.
Maxcom drastically improved performance for regulatory compliance achieving an 85% reduction in fraud-related costs.
Playtika is among the first gaming pioneers to offer free-to-play social games on social networks and mobile platforms, relying on a fully on-premises implementation of Vertica.
Leading sportsbook provider Kambi handles explosive growth with a flexible, reliable, high-performance data warehouse powered by Vertica.
ThinkData Works offers a flexible platform for ingesting and managing multiple external and internal data sources, built on the Vertica analytics platform.
EOITEK uses embedded Vertica with AI and machine learning to deliver 10x faster performance on 80% less hardware.
Design Automation helps customers streamline complex electronics product design processes and cuts time-to-market, using Vertica’s advanced machine learning capabilities.
Vertica streamlines move to a new energy pricing model with advanced analytics benefiting all market participants.
The GoodData and Vertica partnership allows granular and actionable insights to customers such as Calpine Energy.
Explore Resources for…
Press Release
Vertica Analytics Database Lands as a Leader in Three G2 Fall Report Categories
Analyst Report
EMA Report on the Unified Analytics Warehouse: A Guide for Investing in Unified Analytics
Analyst Report
Avoiding Cloud Database Pitfalls and Lock-ins
EBook
Making a Difference – Vertica Human Interest Stories
Media Coverage
Forbes: Three Steps to Building Trust in Data-Driven Decision Making
Case Study
Nucleus Research Report: Vertica Customers See $4.07 for Every Dollar Spent
Webcast
Vertica and GoodData CEOs Discuss Future of Unified Analytics
Press Release
Vertica Announces Vertica 12 for Future-Proof Analytics
Webcast
Vertica Accelerator – New Unified Analytics SaaS Offering
Case Study
Agoda
Whitepaper
Cloud Database Benchmark Report
Analyst Report
Constellation Research Offering Overview of Vertica
Webcast
Probing the Concept of Cloud-Native Databases
Data Sheet
Vertica in Eon Mode
Webcast
Find the Balance Between MPP Databases and Spark for Analytical Processing
Webcast
AIOps and Machine Learning Accelerate Root Cause Analysis for IT Decisions
Webcast
Operationalizing Machine Learning for the Enterprise Using Python and Vertica
Webcast
Data Preparation for Machine Learning at Scale
White Paper
Machine Learning as a Growth Engine for Telco
Info Graphic
Vertica Machine Learning Overview
Data Sheet
Vertica In-Database Machine Learning
Services & Support
Explore helpful Vertica resources — documentation, knowledge base articles, forums and more.
Knowledgebase
Helpful documents about hardware requirements for your database, how to connect to Vertica from our ETL and BI partners, best practices guides, and more.
Documentation
Complete product documentation, release notes, and a supported platform guide on the current and previous versions of Vertica.
Vertica Academy
Your source for comprehensive Vertica training – live, on-demand, and in-person – covering self-paced learning, instructor-led classes, Webinars, and certifications.
User Forum
The best place to connect with Vertica engineers and other Vertica customers to get quick answers to problems or bottlenecks.
Downloads
For customers who need to access Vertica service packs and previous releases.
Client Drivers
For customers who need access to client drivers for operating systems, Python, and security.
One Unified Analytics Platform. Many Flexible Choices.
The Vertica Analytics Platform is simply that – unified as one single platform. You choose your:
Metric – Per TB or per node
Consumption Model – Usage based or committed spend
Deployment – Private data centers, public clouds, or hybrid
Level of Automation – Self managed or fully managed
