Vertica logo

Vertica

by OpenText · Since 2004
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ActiveAvailable globallyCloudOn-premise
Quick facts
VendorOpenText
Year launched2004
StatusActive
LocationCorporate Headquarters 275 Frank Tompa Drive, Waterloo, ON N2L 0A1, CANADA
Countries servedGlobal
Languages9
Integrations7+
Free tier
Free trial
Contact salesYES

About Vertica

Vertica is an analytics database software from OpenText that enables advanced analytics capabilities across data warehouse and data lakehouse environments. It provides features like AI-driven analytics, petabyte-scale data analysis, and flexible deployment options so users can analyze large datasets efficiently. Vertica supports various use cases, allowing organizations to derive insights from their data quickly. With its high performance and scalability, it is suitable for businesses that require reliable data analysis solutions. Key capabilities: AI-driven analytics Petabyte-scale data processing Flexible deployment options Advanced data visualization Comprehensive data integration Best for: data analysts and business intelligence teams that need to analyze large volumes of data swiftly.

Vertica by OpenText is a cutting-edge analytics platform designed to handle large-scale data processing and predictive analytics with remarkable speed and efficiency. Renowned for its high performance, scalability, and advanced analytical capabilities, Vertica is tailored for organizations looking to extract actionable insights from vast amounts of data. With features such as machine learning integration, real-time data streaming, and support for both SQL and NoSQL data formats, the platform is a versatile solution for enterprises across industries. From enabling event analysis to performing complex geospatial analytics, Vertica provides the tools needed to address the demands of modern data-driven decision-making. The **user interface** of Vertica strikes a balance between simplicity and depth, catering to both novice users and seasoned analysts. The dashboard offers an intuitive layout with a comprehensive view of system performance and active analytics tasks. Customizable widgets and interactive visualizations allow users to adapt the interface to their specific needs, enhancing productivity and user engagement. Additionally, features like drag-and-drop functionality simplify operations, ensuring that even users with limited technical expertise can perform complex tasks with ease.

Pros & Cons

What users like
  • +Fast and efficient: Vertica's columnar storage and parallel processing architecture make it ideal for handling large datasets and complex queries.
  • +Scalable: It can easily scale to handle increasing data volumes and user loads.
  • +Flexible: Vertica supports a variety of data sources and can be deployed on-premises or in the cloud.
  • +Easy to use: The user interface is intuitive and easy to learn.
  • +Strong community support: Vertica has a large and active community of users and developers.
What users flag
  • Complex setup: The initial setup and configuration of Vertica can be complex.
  • Limited GUI: The graphical user interface is not as sophisticated as some other database management tools.
  • Data size limitations: Vertica may have limitations on the size of data it can handle.

Features

Key features

1. Massively Parallel Processing (MPP)
Executes analytics across massive datasets, delivering high-speed performance and scalability for complex queries.
2. Real-time Analytics
Processes and analyzes incoming data in real time, providing ultra-low-latency insights for immediate action.
3. Columnar Storage
Optimizes query performance and storage efficiency by storing data in columns, improving read speeds and reducing disk I/O requirements.
4. Data Lakehouse Compatibility
Seamlessly analyzes data from various sources, including data lakes, warehouses, and cloud object storage.

Additional features

1. Standards-Based Analytics
Supports SQL, R, Python, Java, and C/C++ for diverse user interactions and query execution.
2. In-Database Machine Learning
Enables building, testing, and deploying ML models within the database, processing vast datasets with minimal latency.
3. Flexible Deployment
Deploys on-premises, in the cloud, or in hybrid environments, tailoring solutions to specific needs.
4. In-Database Analytics
Performs advanced analytics with over 650 built-in functions, including time series, geospatial, and event-pattern matching.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
9
Interface languages
11
Billing currencies

Interface languages

SpanishFrenchGermanItalianPortugueseRussianChinese (Simplified)JapaneseKorean

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇭CHF🇨🇳CNY🇸🇪SEK🇮🇳INR🇷🇺RUB

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