OpenText Analytics Database Vertica is known for its fast data loading and efficient query processing, providing scalability and user-friendliness with a low cost per TB. It supports large data volumes with OLAP, clustering, and parallel ingestion capabilities.
| Product | Market Share (%) |
|---|---|
| OpenText Analytics Database (Vertica) | 7.8% |
| Oracle Exadata | 16.4% |
| Teradata | 15.2% |
| Other | 60.6% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Data Warehouse | Aug 29, 2025 | Download |
| Product | Reviews, tips, and advice from real users | Aug 29, 2025 | Download |
| Comparison | OpenText Analytics Database (Vertica) vs Snowflake | Aug 29, 2025 | Download |
| Comparison | OpenText Analytics Database (Vertica) vs Oracle Exadata | Aug 29, 2025 | Download |
| Comparison | OpenText Analytics Database (Vertica) vs Teradata | Aug 29, 2025 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Databricks | 4.1 | N/A | 96% | 92 interviewsAdd to research |
| Azure Data Factory | 4.0 | N/A | 92% | 92 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 24 |
| Midsize Enterprise | 20 |
| Large Enterprise | 26 |
| Company Size | Count |
|---|---|
| Small Business | 187 |
| Midsize Enterprise | 106 |
| Large Enterprise | 401 |
OpenText Analytics Database Vertica is designed to handle substantial data volumes with a focus on speed and efficient storage through its columnar architecture. It offers advanced performance features like workload isolation and compression, ensuring flexibility and high availability. The database is optimized for scalable data management, supporting data scientists and analysts with real-time reporting and analytics. Its architecture is built to facilitate hybrid deployments on-premises or within cloud environments, integrating seamlessly with business intelligence tools like Tableau. However, challenges such as improved transactional capabilities, optimized delete processes, and better real-time loading need addressing.
What features define OpenText Analytics Database Vertica?OpenText Analytics Database Vertica's implementation spans industries such as finance, healthcare, and telecommunications. It serves as a central data warehouse offering scalable management, high-speed processing, and geospatial functions. Companies benefit from its capacity to integrate machine learning and operational reporting, enhancing analytical capabilities.
OpenText Analytics Database (Vertica) was previously known as Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand.
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| Author info | Rating | Review Summary |
|---|---|---|
| Deputy Manager at ICICIBANK Ltd | 3.5 | I use Vertica for various tasks like preparing data marts and analyzing transactions, appreciating its fast data retrieval speed compared to Sybase. However, it could improve by supporting more data types and enhancing competitive features. |
| Senior Data Engineer at a retailer with 10,001+ employees | 4.0 | Our company uses Vertica for analytics and data manipulation, benefiting from its columnar storage for quick execution. While it's fast with data copying, it lacks transactional features that I expected from systems like MySQL and Redshift. We deploy it on AWS. |
| Support Specialis at Orion Innovation Romania | 3.5 | In my company, we use Vertica for database performance tasks like select, insert, update, and delete. Although the tool excels in performance and KPI management, its documentation needs improvement. Vertica was chosen over other options, though the specific reason is unclear. |
| Team Lead Solutions Architect at IMEXPERTS DO BRASIL | 4.5 | We use Vertica for our warehouse and implement machine-learning solutions like clustering or classification models. It efficiently compresses raw data using advanced Azure technologies, saving space. However, pricing could be more competitive. We haven't considered other solutions or providers. |
| Delivery director at Poslovna Inteligencija | 3.5 | We use Vertica for business analytics like IPTV and viewership analytics due to its ease of use, high performance, stability, and scalability. Improvement is needed in cloud support and installation. Previous alternatives include Netezza, Oracle, and cloud-native tools. |
| Pathways Operations Manager at a retailer with 10,001+ employees | 4.0 | In the media industry, we rely on Vertica for analytics and operational reporting. Its projection flexibility optimizes queries without altering data. However, its documentation and community support are limited, and it lacks data-sharing features available in platforms like Snowflake. |
| Project Manager at Bank of Africa | 4.5 | We use Vertica for our data warehouse because it's fast, cost-effective, and user-friendly with good data compression. However, the solution could improve its AI integration and machine learning capabilities to enhance overall performance. |
| Staff Database Developer at a manufacturing company with 10,001+ employees | 4.0 | No summary available |
