Amazon Redshift is a hosted data warehouse solution, from Amazon Web Services.
$0.24
per GB per month
SAP HANA Cloud
Score 8.9 out of 10
N/A
SAP HANA is an application that uses in-memory database technology to process very large amounts of real-time data from relational databases, both SAP and non-SAP, in a very short time. The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading it from a disk which means that the data can be accessed in real time by the applications using HANA. The product is sold both as an appliance and as a cloud-based software solution.
Multiple things as SAP HANA Cloud is used to handle large volumes of data with smooth use of different data types, including great real-time data storage.
The reason remains the same , The dataflow between SAP application works seamlessly with SAP HANA cloud . The in memory capability really helps here a lot to make the reports run faster . Where as the other database engines that doesn't have the in-memory capability.
If the number of connections is expected to be low, but the amounts of data are large or projected to grow it is a good solutions especially if there is previous exposure to PostgreSQL. Speaking of Postgres, Redshift is based on several versions old releases of PostgreSQL so the developers would not be able to take advantage of some of the newer SQL language features. The queries need some fine-tuning still, indexing is not provided, but playing with sorting keys becomes necessary. Lastly, there is no notion of the Primary Key in Redshift so the business must be prepared to explain why duplication occurred (must be vigilant for)
I think if you have a large organization, it's probably the product and the marketplace to go to. We're a large management consulting firm operating in four to seven countries. And generally speaking, I think that's the size and the scope where it scales best. I can't speak to smaller companies, but I can't see smaller companies leveraging the benefits as much as a larger organization can.
[Amazon] Redshift has Distribution Keys. If you correctly define them on your tables, it improves Query performance. For instance, we can define Mapping/Meta-data tables with Distribution-All Key, so that it gets replicated across all the nodes, for fast joins and fast query results.
[Amazon] Redshift has Sort Keys. If you correctly define them on your tables along with above Distribution Keys, it further improves your Query performance. It also has Composite Sort Keys and Interleaved Sort Keys, to support various use cases
[Amazon] Redshift is forked out of PostgreSQL DB, and then AWS added "MPP" (Massively Parallel Processing) and "Column Oriented" concepts to it, to make it a powerful data store.
[Amazon] Redshift has "Analyze" operation that could be performed on tables, which will update the stats of the table in leader node. This is sort of a ledger about which data is stored in which node and which partition with in a node. Up to date stats improves Query performance.
Real-time reporting and analytics on data: because of its in-memory architecture, it is perfect for businesses that need to make quick decisions based on current information.
Managing workload with complex data: it can handle a vast range of data types, including relational, documental, geospatial, graph, vector, and time series data.
Developing and deploying intelligent data applications: it provides various tools for such applications and can be used for machine learning and artificial intelligence to automate tasks, gain insights from data, and make predictions.
We've experienced some problems with hanging queries on Redshift Spectrum/external tables. We've had to roll back to and old version of Redshift while we wait for AWS to provide a patch.
Redshift's dialect is most similar to that of PostgreSQL 8. It lacks many modern features and data types.
Constraints are not enforced. We must rely on other means to verify the integrity of transformed tables.
Requires higher processing power, otherwise it won't fly. How ever computing costs are lower. Incase you are migrating to cloud please do not select the highest config available in that series . Upgrading it later against a reserved instance can cost you dearly with a series change
Lack of clarity on licensing is one major challenge
Unless S/4 with additional features are enabled mere migration HANA DB is not a rewarding journey. Power is in S/4
We would rate our likelihood of renewing at 9/10. SAP HANA Cloud has proven to be a highly reliable and scalable data platform that consistently delivers strong performance. Its seamless integration with our overall SAP landscape, combined with improved analytics and real-time data capabilities, makes it a core part of our long-term technology strategy.
Just very happy with the product, it fits our needs perfectly. Amazon pioneered the cloud and we have had a positive experience using RedShift. Really cool to be able to see your data housed and to be able to query and perform administrative tasks with ease.
It is very useful solution which provides you speedier data processing, real-time analytics. It helps you manage diverse data types. It also offers you excellent disaster management. It has user friendly interface which helps you navigate system and transactions easily and perform task smoothly.
I would rate SAP HANA Cloud’s availability as an 8 out of 10. In general, the platform is available when we need it and provides a reliable cloud environment for our data, reporting, and integration use cases.We have not experienced availability as one of the main issues compared with areas like configuration, troubleshooting, or support response quality. However, I would not rate it a 10 because, like any cloud platform, availability can still be affected by occasional service issues, application errors, maintenance windows, or dependencies with connected systems.Overall, SAP HANA Cloud has been reliable for our needs, but continuous monitoring and clear communication around incidents or maintenance are still important.
I would rate SAP HANA Cloud’s performance as an 8 out of 10. In general, performance is strong and reports usually complete in a reasonable time frame, especially when the data models, queries, and calculation views are well designed.The platform handles large data volumes well and supports fast analytics for many enterprise scenarios. It also works effectively with connected systems when the integrations are properly configured.I would not rate it a 10 because performance can depend heavily on architecture, query design, data volume, custom code, and integration complexity. In some cases, complex reports, large datasets, or custom logic require additional tuning and testing to avoid slow response times or delays in connected processes.
The support was great and helped us in a timely fashion. We did use a lot of online forums as well, but the official documentation was an ongoing one, and it did take more time for us to look through it. We would have probably chosen a competitor product had it not been for the great support
However, I am not the right person to answer this as we have another department to handle support and contact the service provider for any support required. Although i will say that they are the quick respondent and knows how to handle querry of the customers and provide quick and better support.
I would rate the online training as an 8 out of 10. The training materials are generally useful, well-structured, and helpful for understanding the main capabilities of SAP HANA Cloud, including data modeling, administration, integration, and analytics.The content is especially valuable for building a foundation and learning the standard features of the platform. However, I would not rate it a 10 because some advanced or real-world scenarios, such as complex integrations, troubleshooting, performance tuning, and custom code, could benefit from more practical examples and deeper technical guidance.Overall, the online training is strong, but it could be improved with more hands-on exercises and more examples based on enterprise implementation scenarios.
would rate our satisfaction with the implementation as a 6 out of 10. The implementation was completed and the solution provides value, but the process was more complex and time-consuming than expected.The main challenges were related to technical configuration, integrations, permissions, and troubleshooting. In some cases, getting clear answers or resolving issues required several iterations, which slowed down the implementation.Overall, the final result is useful, but the implementation experience could have been better with clearer documentation, more straightforward configuration steps, and more effective support during the process.
Than Vertica: Redshift is cheaper and AWS integrated (which was a plus because the whole company was on AWS). Than BigQuery: Redshift has a standard SQL interface, though recently I heard good things about BigQuery and would try it out again. Than Hive: Hive is great if you are in the PB+ range, but latencies tend to be much slower than Redshift and it is not suited for ad-hoc applications.
I have deep knowledge of other disk based DBMSs. They are venerable technology, but the attempts to extend them to current architectures belie the fact they are built on 40 year old technology. There are some good columnar in-memory databases but they lack the completeness of capability present in the HANA platform.
Redshift is relatively cheaper tool but since the pricing is dynamic, there is always a risk of exceeding the cost. Since most of our team is using it as self serve and there is no continuous tracking by a dedicated team, it really needs time & effort on analyst's side to know how much it is going to cost.
I would rate the contract terms and pricing structure for SAP HANA Cloud as a 7 out of 10. Overall, the pricing model is reasonable for an enterprise cloud platform, especially considering the scalability, integration capabilities, and performance benefits it provides.However, there are some aspects we would improve. The pricing model could be more transparent and easier to predict, especially when usage grows across multiple departments, data volumes increase, or additional capacity is required. It would also be helpful to have clearer guidance on how configuration, storage, compute, and scaling decisions affect overall cost.If we could change anything, we would prefer simpler pricing, more predictable billing, and more flexibility to adjust capacity without creating unexpected cost increases.
I would rate SAP HANA Cloud’s overall scalability as an 8 out of 10. The product provides strong scalability for enterprise scenarios, especially when it needs to support multiple departments, growing data volumes, and more complex analytics or integration requirements.The cloud-based architecture makes it easier to expand capacity compared with traditional on-premise environments, and it gives the organization flexibility as usage increases across different teams or locations.I would not rate it a 10 because scalability still depends heavily on good architecture, correct configuration, performance tuning, and cost control. As the environment grows, it is important to monitor resource consumption, optimize queries and data models, and make sure the solution is designed properly to avoid performance or cost issues.
I would rate the professional services for SAP HANA Cloud as a 6 out of 10. The professional services were helpful in moving the implementation forward and provided useful knowledge around the platform, configuration, and technical setup.However, the experience was not perfect. Some areas, such as complex integrations, custom code, permissions, performance tuning, and troubleshooting, required more effort and follow-up than expected. In some cases, we would have benefited from clearer guidance, more practical recommendations, and faster resolution of technical questions.Overall, the professional services added value, but there is room for improvement in terms of proactivity, hands-on support, and helping customers handle complex real-world implementation scenarios.
Our company is moving to the AWS infrastructure, and in this context moving the warehouse environments to Redshift sounds logical regardless of the cost.
Development organizations have to operate in the Dev/Ops mode where they build and support their apps at the same time.
Hard to estimate the overall ROI of moving to Redshift from my position. However, running Redshift seems to be inexpensive compared to all the licensing and hardware costs we had on our RDBMS platform before Redshift.
