Find out in this report how the two Hadoop solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
We do not feel we're getting value for the investment due to the additional resources needed for integration and maintenance.
SAP HANA is a cost-saving solution that helps save money and serves as a time-saving solution that helps save time.
They help with billing, cost determination, IAM properties, security compliance, and deployment and migration activities.
We get all call support, screen sharing support, and immediate support, so there are no problems.
The community support is better than the official SAP support.
While issues are resolved eventually, the first level of support is not as good as we would like.
When we raise a ticket for AWS or Azure issues, we find their support is very proactive, while SAP's support is quite passive.
Scalability can be provisioned using the auto-scaling feature, EC2 instances, on-demand instances, and storage locations like block storage, S3, or file storage.
Our operations have grown from a hundred data operations a day to as many in a couple of seconds.
There is enough scalability offered by SAP to meet our deployment needs.
The scalability rating is based on the ability to expand.
Regular updates, patch installations, monitoring, logging, alerting, and disaster recovery activities are crucial for maintaining stability.
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 cost factor differs significantly. When you run Spark application on EKS, you run at the pod level, so you can control the compute cost. But in Amazon EMR, when you have to run one application, you have to launch the entire EC2.
There is room for improvement with respect to retries, handling the volume of data on S3 buckets, cluster provisioning, scaling, termination, security, and integration between services like S3, Glue, Lake Formation, and DynamoDB.
The main issue is the ecosystem, which lacks the widespread support that SQL enjoys.
The setup process and deployment process for SAP HANA is complex.
Licensing costs with SAP HANA are very high.
Costs are involved based on cluster resources, data volumes, EC2 instances, instance sizes, Kubernetes, Docker services, storage, and data transfers.
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.
Amazon EMR helps in scalability, real-time and batch processing of data, handling efficient data sources, and managing data lakes, data stores, and data marts on file systems and in S3 buckets.
Amazon EMR provides out-of-the-box functionality because we can deploy and get Spark functionality over Hadoop.
This architecture allows for faster data processing and real-time analytics that were not possible with traditional databases.
The concept enhances speed, allowing the database to serve and move data quickly.
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.
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 5 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 26 |
| Midsize Enterprise | 11 |
| Large Enterprise | 61 |
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.
We monitor all Hadoop reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
