I'd strongly recommend IBM Power servers to anyone who has the budget for it. A Power Virtual Machine, what is generally called FlexTB VM, can support as many small VM of 256GB, and scale up to 32TB on the fly. If IBM recommended architecture is combined with your organizational reference architecture, then forget about running into unplanned downtimes.
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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)
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
[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.
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A solid IDE for editing programs. SEU was simple and solid. Then it became outdated and support for it ended as the language continued to evolve. That's fine. But RDi is expensive and shaky at best, and VS Code, while free, is severely lacking even the modicum of features RDi has.
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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.
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This is one of the best systems on the market. You can have Flash/Copy which created another LPAR to look like the system you are copying. This takes seconds and not minutes. Then you can use BRNS to do full system backups nightly with no downtime. I am ready for us to upgrade to a Power 10.
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They are very easy to set up and use once you re knowledgeable enough to deal with it. They are continuously enhance the user experience on the HMC and operations on the systems. Once setup it's like a beast, going on and on. I have experience with servers that are not being rebooted for more than 1000 days
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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.
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In all of the years I have used various Power System, I have never had any problems at all. Even when hackers were attacking our email servers and many users PCs, the IBM Power System came out completely unscathed. I haven't even had any application errors that were able to take the system down. Nor have I ever experienced an unplanned outage
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The IBM Power System is built for integration. It supports multiple operating systems and you can run multiple OS's on the same box with no problems at all. It also supports a number of open source languages such as PHP, Java, Python, and Perl which helps you continue to grow and integrate with lots of other systems.
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On large-scale systems, the rating would have been 10. However, I have seen some cases in more rural areas where the IBM onsite support is not as available or of the highest quality as in the past. For software support, there are sometimes instances of language barriers.
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
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Systems are robust and you need to know exactly what your are going to do with them. There are multiple configurations possible and you need to gather your requirements first, before going on with the implementation. Tuning is a must before migrating production systems
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Power server do not need a stack of software for viruses, spam and others... Power server do not need to have release often power server are much more strong then other manufacturer Power server do not need to restart offen
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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.
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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.
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This system can work in a small factory with a few users and easily scale out to thousands of users. It is truly amazing on how much you can throw at this box and it will just keep humming. It is great for use across multiple departments and even across multiple corporations. I worked at one company where we were hosting multiple corporations on just one large Power System and had ZERO problems.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
