OpenText Analytics Database (Vertica) and SAP BW4HANA compete in the enterprise data management and analytics category. Vertica seems to have the upper hand due to its superior cost-effectiveness and scalability, particularly for non-SAP environments.
Features: Vertica is known for its scalability, allowing businesses to efficiently manage vast data volumes. It delivers fast query performance and optimized SQL operations, beneficial for enterprises handling extensive data queries. Its ability to integrate well with commodity hardware enhances its flexibility. SAP BW4HANA shines with robust data transformation capabilities, particularly valuable for businesses already embedded within the SAP ecosystem. It supports diverse data sources and real-time reporting, making it suitable for comprehensive business intelligence initiatives.
Room for Improvement: Vertica users report challenges with heavy transactional loads and inadequate workload management, highlighting the need for better SQL optimization and enhanced monitoring tools. Documentation and database integrations could also be improved. SAP BW4HANA is critiqued for its high cost and complexity when integrated with non-SAP products. Users express the need for better connectivity with third-party tools and a more intuitive interface.
Ease of Deployment and Customer Service: Both Vertica and SAP BW4HANA primarily operate on-premises, though Vertica offers more flexibility with hybrid and private cloud deployments. Vertica's technical support is recognized for knowledgeable engineers but inconsistent responses. SAP BW4HANA also receives low satisfaction in support, with concerns about cost and response times. Deploying both systems is generally challenging, though Vertica provides more deployment options.
Pricing and ROI: Vertica's competitive cost-per-TB model offers fair pricing, notably appealing due to scalability and performance advantages. It provides a community edition for smaller requirements. SAP BW4HANA, although expensive, offers justification for large entities entrenched in SAP ecosystems but less so for smaller organizations. While both solutions offer substantial ROI through advanced analytics functionalities, Vertica often delivers better cost-effectiveness for non-SAP environments.
In the meantime, I found solutions independently and provided two solutions to my client.
Integration needs improvement.
The certification cost for SAP BW4HANA in 2025 is expected to be one lakh forty thousand.
The best features include the ability to create data sources directly on tables, and perform mapping without creating info objects.
| Product | Market Share (%) |
|---|---|
| OpenText Analytics Database (Vertica) | 6.9% |
| SAP BW4HANA | 3.9% |
| Other | 89.2% |
| Company Size | Count |
|---|---|
| Small Business | 29 |
| Midsize Enterprise | 23 |
| Large Enterprise | 38 |
| Company Size | Count |
|---|---|
| Small Business | 16 |
| Midsize Enterprise | 4 |
| Large Enterprise | 27 |
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.
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.
SAP BW4HANA is a data warehouse solution developed by SAP for businesses looking to analyze big data in real time. It is designed to run on the SAP HANA database, offering improved performance and optimized processing of large data sets. SAP BW/4HANA provides an array of advanced analytics capabilities, including predictive analytics, text analytics, and spatial data processing. It also offers a modern, intuitive user interface and streamlined data modeling and administration tools, making it easier for businesses to access, manage, and utilize their data.
SAP BW4HANA Features
SAP BW4HANA has many valuable key features. Some of the most useful ones include:
SAP BW4HANA Benefits
There are many benefits to implementing SAP BW4HANA. Some of the biggest advantages the solution offers include:
Reviews from Real Users
SAP BW4HANA is a solution that stands out when compared to many of its competitors. Some of its major advantages are its hierarchical alert slicing, real-time insights, and its ability to transform large amounts of data.
PeerSpot reviewer, Srivatsav A., SAP BW/4HANA Specialist at a government, is very happy with the solution. He explains, "You can do hierarchical alert slicing and dicing out-of-box, which is not available in other solutions. I haven't come across that in Oracle or any other software provider."
“It has got wonderful features in terms of analyzing your production data, and it gives you real-time insight into productive maintenance. You can plan your budget, and you can map them against actuals. It gives you good insights on overall performance and processes,” says Amrit J., ERP Application Manager at an energy/utilities company.
In addition, a Technology Analyst at a tech services company mentions, "The most valuable feature is that we can transform a huge amount of data and apply business logic as per the requirements."
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