Vertica is a top analytical platform known for its high performance, scalability, and infrastructure independence. It can handle large and complex data and operates flexibly across different environments.
Vertica by OpenText is an Analytical Database Management System designed to process and analyze massive volumes of Data in real time. Here's a general overview of the advanced features and functionalities offered by Vertica:
Vertica Cloud is a powerful analytics solution with fast performance and scalable capabilities, offering advanced features.
Vertica On-Premises allows complete control over analytics deployment within an organization's data center, offering flexibility and customization.
Vertica Hadoop is a scalable open-source framework for distributed storage and processing of large datasets, ideal for diverse Big Data Analytics needs.
Vertica Enterprise mode optimizes computation by distributing data among nodes, storing it in ROS containers for efficiency, and ensuring redundancy to prevent service interruptions during node failures.
Vertica's Eon Mode offers seamless node scaling, central data storage, cache for performance, and workload isolation for scalability.
Vertica Cloud is a high-performance analytics solution that allows users to deploy analytics workloads in the cloud with flexibility and consistency across AWS, Azure, and Google Cloud platforms.
Packed with advanced features, including machine learning, it enables fast performance and elastic scalability.
Benefits:
→ Scale Infrastructure Linearly
→ Isolate Analytic Workloads
→ Simplify Database Operations
→ Hibernate Compute Nodes
Vertica On-Premises refers to the Vertica Analytics Platform being deployed within an organization’s Data Center or infrastructure, rather than in the Cloud. It provides complete control over the deployment and configuration of the system, offering flexibility and customization tailored to specific needs.
Benefits:
→ Data Control
→ Optimized Performance
→ Tailored Solutions
→ Cost Efficiency
Vertica Hadoop is an open-source framework for the distributed storage and processing of large Data sets. It has two components: HDFS for storage and MapReduce for processing. Hadoop is ideal for Big Data Analytics in various industries thanks to its scalability and ability to handle diverse Data types.
Benefits:
→ Fault Tolerance
→ Data Locality
→ Resilient to failure
→ Ecosystem
In Vertica Enterprise mode, data is distributed among nodes for optimized computation. Data is stored in Read Optimized Store (ROS) containers and periodically consolidated for efficient storage. Redundancy is crucial to prevent service interruptions in case of node failure.
Benefits:
→ Data Redundancy
→ Streamlined Data Management
→ Efficient Data Storage
→ Optimized Data Distribution
Vertica’s Eon Mode allows for elastic scaling of nodes without interrupting analytic workloads. Data is stored in a centralized location, and accessed from communal storage. Nodes maintain a local cache called the depot for improved performance. Workloads can be isolated using subclusters for scalability and workload management.
Benefits:
→ Improved Performance
→ Worload Isolation
→ Efficient Data Loading
→ Hybrid and Multi-cloud Support
Vertica’s Big Data Analytics platform provides unparalleled speed, scale, and value for analytics and machine learning, allowing organizations to extract insights from their data and drive innovation.
→ GigaOm Radar Report for Evaluating Data Warehouse Platforms
Vertica was also included in the GigaOm report, a company that evaluates the latest technologies and solutions, for the performance of loading and querying massive volumes of data, for advanced analysis and machine learning algorithms in databases, and a flexible implementation process in this industry.
→ Top player in the Big Data Analytics market
Vertica is one of the top players in the Big Data Analytics and Data Warehouse solutions market. Thus, Vertica products and solutions are among the most advanced technologies in all four data warehouse use cases in the “Gartner Critical Capabilities for Data Management Solutions for Analytics” report.
Vertica offers powerful Machine Learning capabilities that enable Data Scientists and Analysts to use Big Data for faster business outcomes. With in-database Machine Learning, Vertica integrates seamlessly into existing workflows and provides support for popular programming languages like Python.
Vertica’s end-to-end Machine Learning management, scalability, speed, and simplicity make it the go-to solution for organizations across industries looking to unlock the full potential of their Data.
Vertica is an advanced data storage platform that enables users to store valuable information in a smaller space and at a lower cost. It simplifies data management for organizations of any complexity and size. With Vertica technology, users can quickly find answers or insights from their data up to 50 times faster than traditional data warehouses.
Today, organizations around the world collect and manage large volumes of data from many sources, whether we are talking about ERP, CRM, financial data, marketing data, or customer data.
→ Top Cloud Data Warehouse Solution
Vertica has also been designated the number one solution for cloud data warehouse, by IT Central Station, one of the most important technology review websites.
→ Vertica’s IoT analytics solution is a powerful platform that helps organizations leverage the full potential of the Internet of Things (IoT) revolution.
→ As the number of connected devices increases, so does the amount of sensor data generated. Vertica’s IoT analytics solution can handle and analyze this data at an extreme scale, allowing organizations to extract valuable insights and take action accordingly. With Vertica, organizations can maximize their IoT investments, leading to operational efficiency, improved customer satisfaction, and innovation.
→ In the constantly evolving IoT analytics world, Vertica helps organizations stay ahead and capitalize on the opportunities presented by connected devices and sensor data.
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We are a European company with extensive experience in Europe and Middle East across different industries in data visualization, analysis and statistics and Big Data.
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