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 | Mindshare (%) |
|---|---|
| OpenText Analytics Database (Vertica) | 5.1% |
| Snowflake | 9.5% |
| Teradata | 8.8% |
| Other | 76.6% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Data Warehouse | Apr 13, 2026 | Download |
| Product | Reviews, tips, and advice from real users | Apr 13, 2026 | Download |
| Comparison | OpenText Analytics Database (Vertica) vs Snowflake | Apr 13, 2026 | Download |
| Comparison | OpenText Analytics Database (Vertica) vs Oracle Exadata | Apr 13, 2026 | Download |
| Comparison | OpenText Analytics Database (Vertica) vs Teradata | Apr 13, 2026 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Databricks | 4.1 | N/A | 96% | 93 interviewsAdd to research |
| Teradata | 4.1 | 8.8% | 88% | 83 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 24 |
| Midsize Enterprise | 20 |
| Large Enterprise | 30 |
| Company Size | Count |
|---|---|
| Small Business | 203 |
| Midsize Enterprise | 91 |
| Large Enterprise | 241 |
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 |
|---|---|---|
| consultant at tcs | 4.0 | I highly recommend OpenText Vertica. It improved our reporting by 90% and ETL time by half, saving 70% storage. Its columnar projections deliver superior query performance and simplified maintenance. It needs better cloud-native features and UI. |
| Senior Software Engineer at a tech vendor with 5,001-10,000 employees | 3.5 | I used OpenText Analytics Database (Vertica) for read-heavy reporting in my fintech company. It significantly reduced costs and improved efficiency with Eon Mode and S3. While stable and scalable, I found its write/update/delete capabilities limited, lacking hard delete functionality. |
| Analytics Manager at a wholesaler/distributor with 10,001+ employees | 4.5 | I found OpenText Analytics Database (Vertica) easy to use and integrate for analytical operations, reporting, and dashboarding, significantly impacting organizational decisions. It's stable and scalable, though I suggest improving community support. I rate it 9/10. |
| Data Engineering Associate Manager at a tech vendor with 10,001+ employees | 5.0 | I use OpenText Vertica for telecom data analysis, valuing its parallel processing and ETL for significant speed and processing improvements. While stable and scalable, it could benefit from a cloud-based UI like Snowflake's. |
| Deputy Manager at ICICIBANK Ltd | 3.5 | I use Vertica for fast, cost-effective data retrieval, data marts, and business insights, finding it stable and scalable. While customer support is good, I wish it supported more data types and had enhanced features to compete better. |
| Senior Data Engineer at a retailer with 10,001+ employees | 4.0 | I find Vertica fast for analytics due to its columnar storage, despite encountering scalability issues in some cases and missing transactional features. Setup involved precise Spark integration. Overall, I rate it 8/10, with future use dependent on scaling. |
| Delivery director at Poslovna Inteligencija | 3.5 | I find Vertica offers high performance, stability, and scalability for analytics. While easy to use, I think its native cloud support and installation process need significant improvement. |
| Support Specialis at Orion Innovation Romania | 3.5 | I find Vertica a simple-to-set-up, user-friendly tool for database performance and KPIs. Despite being expensive and having documentation issues, I recommend it for its ease of configuration, though stability varies. |