SAP IQ and SAP HANA are both distinguished products in the realm of business intelligence and data warehousing applications. Currently, SAP HANA seems to have the upper hand due to its advanced real-time processing capabilities and seamless enterprise application integration.
Features: SAP IQ is known for its robust data compression and efficient query performance, utilizing a columnar format suited for large-scale data warehouse applications. It excels in handling ad-hoc queries with high query speed and optimization for business intelligence. SAP HANA is highlighted by its memory computing capabilities and robustness in real-time operational analytics. Its ability to provide instant data processing and integration within enterprise applications is notable.
Room for Improvement:SAP IQ could benefit from enhanced marketing efforts, lower training costs, improvements in backup options, and better integration capabilities. Enhanced documentation and technical support are also desired. SAP HANA users recommend improvements in pricing structures, better integration with third-party tools, and enhanced automation to mitigate the challenges posed by its proprietary nature.
Ease of Deployment and Customer Service:SAP IQ primarily functions on-premises, experiencing challenges due to limited expert availability in technical support, whereas SAP HANA offers hybrid and cloud deployment options with robust global support, although it comes at a higher cost. SAP HANA is renowned for its excellent support reputation, despite the higher expenses, while SAP IQ users face more issues in this regard.
Pricing and ROI: SAP IQ is perceived as cost-effective, especially for managing large data volumes with flexible licensing models, though successful negotiations are often required. SAP HANA delivers significant integration and efficiency at a higher price point, posing challenges for small to medium enterprises. Although SAP HANA's cost is considered justified given its comprehensive set of features, its pricing and hardware requirements can be restrictive.
We do not feel we're getting value for the investment due to the additional resources needed for integration and maintenance.
The community support is better than the official SAP support.
Time to respond to SAP support is an issue, and finding the right person and handling the whole process are problems too.
When we raise a ticket for AWS or Azure issues, we find their support is very proactive, while SAP's support is quite passive.
Our operations have grown from a hundred data operations a day to as many in a couple of seconds.
The scalability rating is based on the ability to expand.
There is enough scalability offered by SAP to meet our deployment needs.
We recently faced customer data loss during the cluster handover or failover fallback.
We have not had any problems in the last seven to eight years.
Regarding stability, they are using legacy systems and have implemented SAP HANA.
The setup process and deployment process for SAP HANA is complex.
Licensing costs with SAP HANA are very high.
Many customers still prefer Oracle, possibly due to cost or familiarity, despite SAP mandating that they have to go to SAP HANA.
It's a recurring subscription model, which is expensive compared to legacy systems with just a maintenance fee.
SAP is not a cheap company, and its licenses are expensive.
I would rate the price for SAP HANA as high.
It allows some tables to be stored in a column base, others in a row base, and the In-Memory functionalities are mostly the highlight of SAP HANA, especially compared to disk-based memory users.
One of our dashboards using Excelsius was previously developed on normal BW on Oracle data, which took 10 minutes to open. After developing the same calculation views using those tables and replacing them with calculation views in Excelsius, the dashboard opened in seconds.
This architecture allows for faster data processing and real-time analytics that were not possible with traditional databases.
SAP HANA, also known as SAP High-performance Analytics Appliance, is a multi-model database that stores data in its memory, allowing users to avoid disk storage. The product combines its robust database with services for creating applications. SAP HANA is faster than other database management systems (DBMS) because it stores data in column-based tables in main memory and brings online analytical processing (OLAP) and online transaction processing (OLTP) together.
The column-oriented in-memory database design allows users to run high-speed transactions alongside advanced analytics, all in a single system. This provides companies with the ability to process very large amounts of data with low latency and query data in an instant. By combining multiple data management capabilities, the solution simplifies IT, helps businesses with innovations, and facilitates digital transformation.
The solution is structured into five groups of capabilities, categorized as:
There are three more SAP products that work alongside SAP HANA and complete the experience for users together. SAP S/4HANA Cloud is a ready-to-run cloud enterprise resource planning (ERP). SAP BW/4HANA is a packaged data warehouse, based on SAP HANA, which allows users to consolidate data across the enterprise to get a consistent view of their data. Finally, SAP Cloud is a single database as a service (DBaaS) foundation for modern applications and analytics across all enterprise data. All three products can combine with SAP HANA to deliver to users an optimized experience regarding their data.
SAP HANA Features
Each architectural group of capabilities of SAP HANA has various features that users can benefit from. These include:
SAP HANA Benefits
SAP HANA provides many benefits for its users. These include:
Reviews from Real Users
According to a database consultant at a pharma/biotech company, SAP HANA is a very robust solution with good data access.
Bruno V., owner at LAVORO AUTOM INF E COM LTDA, likes SAP HANA because the product offers advanced features, helps reduce hours, and makes it easy to find what you need.
SAP® IQ software delivers speed and power for extreme-scale enterprise data warehousing and analytics. Its column-oriented, grid-based massively parallel processing (MPP) architecture and patented data compression and indexing technologies enable companies to exploit the value of huge amounts of data at the speed of business.
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