Amazon Redshift is a hosted data warehouse solution, from Amazon Web Services.
$0.24
per GB per month
SAP Integration Suite
Score 8.5 out of 10
N/A
SAP Integration Suite is an integration platform-as-a-service (iPaaS) that helps quickly integrate on-premises and cloud-based processes, services, applications, events, and data. It is used to accelerate innovation, automate more processes, and realize a faster time to value.
$11,199
per year
Pricing
Amazon Redshift
SAP Integration Suite
Editions & Modules
Redshift Managed Storage
$0.24
per GB per month
Current Generation
$0.25 - $13.04
per hour
Previous Generation
$0.25 - $4.08
per hour
Redshift Spectrum
$5.00
per terabyte of data scanned
No answers on this topic
Offerings
Pricing Offerings
Amazon Redshift
SAP Integration Suite
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
Access to free tier services does not expire while there is an active Pay-As-You-Go or CPEA account with SAP. Once a free tier service limit has been reached users have the option to update from a free to a paid service plan in the same account.
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)
In our case to have a such a poweful middleware in the cloud, give us a lot of benefits such as maintenance and support. In the integration part to be able to connect SAP and Non SAP applications makes SAP Integration Suite a good investment when our master data in this case is in S4HANA. Less appropriate is that sometimes the updates in production tenant failed and they have to downgrade or repair the issues. Affecting the usage of the tool. I guess SAP team have to be more aware of performing the changes and tested well on development environments and then when they know for sure that is the correct way to go with the update put it in production.
[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.
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.
Provide more pre-built integrations to use within SuccessFactors or other modules instead of everything having to be custom built
Support is unable to provide advice on custom builds so you often have to engage a 3rd party partner
Works best when you have the functional and technical teams working together. Otherwise, the system is too technical for a functional user to create integration and a technical user not always understand the functional perspective
It is in place, our system integrators are familiar with it, and it fits into the ecosystem. A better user interface, flow build and debugging experience would see it grow, many technical staff do not enjoy using it for this reason, however it is quite capable and powerful behind this one shortcoming.
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.
The user interface is messy and not intuitive. It has a steep learning curve, and flows developed around are easy to make a mess with layout and can be difficult to follow. The debugging is also quite difficult, it takes some time to figure out how to follow the flow and examine data. Error handling is also difficult and not intuitive, it is better to let some errors leak and monitor through ALM.
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
The support for SAP Integration Suite is satisfactory. We leverage SAP support through our manage services partner. So far, we have not had many major issues. One concern, to make our rating a ten, would be turnaround time on high priority incidents. SAP Integration Suite drives our key business functions forward. Without a reasonable service level agreement on turnaround, we sometimes find us running into issues running pay, etc.
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.
SAP Integration Suite was already part of our SAP stack, part of Business Technology Platform, with out-of-the-box integration with S/4 HANA transactional and ERP system that we are using as our main back-end. Thus, we are achieving significant Total Cost Optimization benefits or running both solutions on the same platform, hosted on Azure cloud.
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.
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.
