IBM Z is the company's mainframe enterprise server solution product line.
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SingleStore
Score 8.4 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.
Most of the time, server utilization is reliable and stable during peak times. Truly amazing, this product offers a lot and gets it done in no time without any confusion.It is reliable, too accurate and the performance is top-notch. It seems to be competitive in all virtual energy systems and its connectivity is also good. It's available at a low cost, but it's enough to have as many low-cost, more efficient systems as possible. It's a minor thing, but very rarely, it can cause work interruptions while it can get stuck due to more frequent use such as restless work. These power servers are very efficient and really help when things go wrong. I am using this product to retrieve data much faster.
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.
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.
The IBM Z mainframe capabilities are unmatched for cloud readiness and optimization the learning capabilities are matched perfectly with Watson and the expandability of the cloud makes it a perfect choice.
[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.
Performance is a major part when you configure your system. IBM has many tools to study your system and suggest the appropriate configuration. With the right contract, you can add processing power dynamically and remove it when no longer needed
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.
Support is usually superb, only occasionally dropping to very good. We participate in some of the CD (Continuous Delivery) aspects of z/OS, IMS, MQ, and DB2.
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.
IBM Z is the best storage solution as it provides the best in class data protection with the cryptographic hardware keys, no loss in data while migration, and a user-friendly interface that makes it easy for develops to understand and has less of a learning curve. This makes it well above the competition.
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.
If you need more processing power, just add more CPU's or memory. The largest system can have close to 200 CPU's and 40 TB of memory. If that is not enough, you can add more physical computers, and connect them using a sysplex
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.
