SAP Manufacturing Integration and Intelligence is a manufacturing operations analytics application.
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SingleStore
Score 8.3 out of 10
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SingleStore aims to enable organizations to scale from one to one million customers, handling SQL, JSON, full text and vector workloads in one unified platform.
SAP Manufacturing Integration and Intelligence as a stand-alone platform seems to be quite powerful with a wide range of capabilities and integration options. The integration itself proved to be challenging which was mentioned before. We also had some issues with delays in data queries which resulted in delays of the visual representation on the SSCE dashboards.
Good for Applications needing instant insights on large, streaming datasets. Applications processing continuous data streams with low latency. When a multi-cloud, high-availability database is required When NOT to Use Small-scale applications with limited budgets Projects that do not require real-time analytics or distributed scaling Teams without experience in distributed databases and HTAP architectures.
MII is particularly good at providing and customizing dashboards for quick analysis of industrial IoT data.
MII also has built-in analysis functionality to make more sense of all the IoT data being streamed.
MII (and ME) are particularly effective at identifying outliers and problems with equipment/processes before they cause delays or other cascading issues. This allows for effective preventative maintenance.
It does not release a patch to have back porting; it just releases a new version and stops support; it's difficult to keep up to that pace.
Support engineers lack expertise, but they seem to be improving organically.
Lacks enterprise CDC capability: Change data capture (CDC) is a process that tracks and records changes made to data in a database and then delivers those changes to other systems in real time.
For enterprise-level backup & restore capability, we had to implement our model via Velero snapshot backup.
If a proper UI5-based implementation is done, the system works at best if a proper application server and database exist. However, from a customization perspective and an easy-to-implement application-from-scratch perspective, MII is top-notch compared to the other mentioned systems. SAP ME sits on top of SAP MII as a foundation.
[Until it is] supported on AWS ECS containers, I will reserve a higher rating for SingleStore. Right now it works well on EC2 and serves our current purpose, [but] would look forward to seeing SingleStore respond to our urge of feature in a shorter time period with high quality and security.
SingleStore excels in real-time analytics and low-latency transactions, making it ideal for operational analytics and mixed workloads. Snowflake shines in batch analytics and data warehousing with strong scalability for large datasets. SingleStore offers faster data ingestion and query execution for real-time use cases, while Snowflake is better for complex analytical queries on historical data.
Documentation on some of our implementations was lacking. As an example, creating the query that reads the tag is explained through the documentation but this only explains very specific data models. Other models are not explained and take time to debug. Customer support was willing to help and an official note was created after we found some issues with the integration tools.
The support deep dives into our most complexed queries and bizarre issues that sometimes only we get comparing to other clients. Our special workload (thousands of Kafka pipelines + high concurrency of queries). The response match to the priority of the request, P1 gets immediate return call. Missing features are treated, they become a client request and being added to the roadmap after internal consideration on all client needs and priority. Bugs are patched quite fast, depends on the impact and feasible temporary workarounds. There is no issue that we haven't got a proper answer, resolution or reasoning
We allowed 2-3 months for a thorough evaluation. We saw pretty quickly that we were likely to pick SingleStore, so we ported some of our stored procedures to SingleStore in order to take a deeper look. Two SingleStore people worked closely with us to ensure that we did not have any blocking problems. It all went remarkably smoothly.
SAP MII is a robust platform for data visualization and data integration. It isn't very intuitive and has the shortcomings explained throughout the review. It still uses old Java versions which is incompatible with updated versions. The SAP ME and SAP CP provide cloud-based solutions that seem to provide a more innovative approach.
Greenplum is good in handling very large amount of data. Concurrency in Greenplum was a major problem. Features available in SingleStore like Pipelines and in memory features are not available in Greenplum. Gemfire was not scaling well like SingleStore. Support of both Greenplum and Gemfire was not good. Product team did not help us much like the ones in SingleStore who helped us getting started on our first cluster very fast.
As the overall performance and functionality were expanded, we are able to deliver our data much faster than before, which increases the demand for data.
Metadata is available in the platform by default, like metadata on the pipelines. Also, the information schema has lots of metadata, making it easy to load our assets to the data catalog.
