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#32

Vertica is ranked #32 among all Big Data Analytics Tools according to the latest available data collected by SelectHub. Find out who the leaders are with our In-Depth Report.

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Vertica Pricing

Based on our most recent analysis, Vertica pricing and cost details are described here:

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Pricing Model
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Vertica Benefits and Insights

Why use Vertica?

Key differentiators & advantages of Vertica

  • Improve Decision Making: Get business insights like workforce metrics, retail information, vital proprietary intel and usage data through data ingestion from diverse sources. Its high-level overview of diverse data pools empowers data-driven business decisions. 
  • Self-Service Analytics:  Provide self-service reporting and analysis for users of all skill levels — from non-technical users to analysts — at a more sophisticated level, using custom formulas and algorithms. 
  • Big Data Insights: Get intel and insights through large data silos to enrich business decisions and diagnose pain points or attach victories to actionable data. 
  • Gain a Competitive Advantage: Take on competitors and optimize business operations through data-informed decision-making. 
  • Flexible Licensing: Buy the product outright, purchase a subscription or pay by the hour with its flexible licensing. Hourly usage comes with full support and requires no commitment. 

Industry Expertise

The system provides analytics to multiple clients in diverse industries across the world. These include retail, banking, internet, information technology, government, health, education, computer hardware and software, marketing and advertising.

Vertica Reviews

Average customer reviews & user sentiment summary for Vertica:

User satisfaction level icon: great

203 reviews

88%

of users would recommend this product

Synopsis of User Ratings and Reviews

Based on an aggregate of Vertica reviews taken from the sources above, the following pros & cons have been curated by a SelectHub Market Analyst.

Pros

  • Data Processing: All users who mention computing say that the tool’s columnar storage and parallel processing enable faster querying.
  • Performance: Almost 72% of the users who review performance say the platform is robust and reliable with high availability.
  • Functionality: Around 56% of the users who review functionality say that it is feature-rich and performs as expected.

Cons

  • Cost: All users who mention cost say that data storage limits can be restrictive and the tool is expensive.
  • Community Support: Citing lack of technical community support, approximately 50% of the users say that it makes adoption difficult.

Researcher's Summary:

Vertica Analytics is a big data relational database that provides batch as well as streaming analytics to enterprises. Citing a robust, distributed architecture with massively parallel processing (MPP), all users who review data processing say that it performs extremely fast computing with I/O optimization, and columnar storage makes it ideal for reporting. Approximately 72% of the users who review performance say that it is a reliable tool with high availability and virtually no downtime, with K-safety protocol in place for efficient fault tolerance. Citing its feature set, around 56% of the users say that they are satisfied with its elastic scalability, rich analytical functions and excellent clustering technology.
On the flip side, almost 50% of the users who mention technical and community support say that it is inadequate and possibly contributes to the platform’s steep learning curve. All users who review its cost say that the solution is expensive, with restrictive data storage limits.
In summary, Vertica is a big data and analytics platform that provides streaming analytics with lightning-fast query speeds, machine learning and forecast capabilities.

Key Features

  • Streaming Analytics: Connects to Apache Kafka for IoT data analysis in real time. Analyzes and manages large volumes of data from IoT devices such as machine and sensor data for buildings, vehicles, medical systems, smart devices and wearables. 
  • Machine Learning: Get automated insights and deliverables through machine learning modules that automatically digest and parse large data portions. ML modules are built into its core — no need to pay for them or install them separately. 
  • Software Only: Work with a robust software interface with dedicated IT resources. All data warehousing, storage and processing infrastructure is hosted offsite. 
  • Fast SQL Databases: Store and retrieve data through highly scalable and speedy SQL databases. 
  • Massively Parallel Processing: Get increased speed and scalability at larger scales by running two processes side-by-side through massively parallel processing. 
  • Columnar Storage: Read only the most important sets of data first through columnar storage that greatly speeds up data retrieval. 

Limitations

Some of the product limitations include:

  •  Doesn’t support enforcing foreign keys and referential integrity. 
  •  Doesn’t support automatic constraints on external tables. 
  •  Deletion is time-consuming and can delay other processes in the pipeline. 

Suite Support

Before emailing support, go through the self-help resources on the vendor’s online support portal, which include a knowledge base, documentation, guides, FAQs and support forums.

Premium plan subscribers receive access to enterprise-level support with a dedicated technical account manager. Subscribe to business support for access to 24/7 support on call, competitive response times and product updates.

mail_outlineEmail: Not available. Fill the Contact Us form on the vendor’s website or chat with a customer representative through their online support portal.
phonePhone: +1-800-632-6265.
schoolTraining: Get certified at the online Vertica Academy with self-paced, instructor-led and on-demand training, and custom workshops. The company also has a certification program, though the cost may vary per certification.
local_offerTickets: Submit a ticket through a Micro Focus account on the vendor’s website.

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