IBM Z is the company's mainframe enterprise server solution product line.
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SingleStore
Score 9.8 out of 10
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SingleStore aims to deliver the world’s fastest distributed SQL database for data-intensive applications: SingleStoreDB, which combines transactional + analytical workloads in a single 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.
SingleStore HTAP engine is well suited for real-time analytics, fast ingestion, scaling OLTP system like MySQL. When you need to run reports or perform aggregates on billions of rows and you get result in seconds, you cannot get this experience with other OLTP engines. I wish DBtLab was a little more developer and supported for SingleStore. This would allow to perform better data transformation. You can use stored procedures, but DBTLabs has become a standard for dimensional modeling in data warehousing projects. This is probably why SingleStore has trouble piercing in the data warehouse world. It is definately capable to compete with Snowflake when it comes to scalability, query performance, data compression, but Snowflake has ravaged the data warehouse market in few years and large corporations have already invested lots of money in migrating into Snowflake. The SingleStore community needs to grow. Everyone who uses SingleStore loves it.
We wish the product had better support for High Availability of the aggregator. Currently the indexes generated by the two different aggregators are not in the same sequential space and so our apps have more burden to deal with HA.
More tools for debugging issues such as high memory usage would be good.
The price was the one that kept us away from purchasing for the first few years. Now we are able to afford due to a promotion that gives it at 25% of the list price. Not sure if we'll continue after the promotion offer expires in another 2 years.
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's performance is incredible. Our predictive algorithms went from taking 24-48 HOURS down to 15 minutes allowing our team to run those much more frequently. Previously, we were limited to about 60 requests per minute due to table locks. Implementing columnstore on SingleStore allowed us to receive 1000 requests per minute.
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.
Very responsive to trouble tickets - Often, I think, the SingleStore's monitoring systems have already alerted the engineers by the time I get around to writing a ticket (about 10 - 20 mins after we see a problem). I feel like things are escalated nicely and SingleStore takes resolving trouble tickets seriously. Also SingleStore follows up after incidents to with a post mortem and actionable takaways to improve the product. Very satisfied here.
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.
Timescale was the biggest alternative option we looked at for SingleStore, however the requirement to learn a new syntax (due to not being SQL compatible) was our biggest pain point. Supporting a new language would require alterations to the Laravel framework, as this only offered SQL integration out of the box. This alteration would be time consuming and would limit our scope to future hiring due to the new syntax.
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.
