Scale Computing Platform vs. Vertica Analytics Database

Scale is best suited to environments that do not have excessive external or proprietary peripherals. Integrating with tape drive backups or robot tape libraries can be problematic. The most effective use of Scale systems is for companies running multiple instances of the same operating system. The hypervisor's code/file-sharing nature does an excellent job managing new instances while keeping the increase in storage to a minimum.

Vertica as a data warehouse to deliver analytics in-house and even to your client base on scale is not rivaled anywhere in the market. Frankly, in my experience it is not even close to equaled. Because it is such a powerful data warehouse, some people attempt to use it as a transactional database. It certainly is not one of those. Individual row inserts are slow and do not perform well. Deletes are a whole other story. RDBMS it is definitely not. OLAP it rocks.

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• Simplicity - I do not have to create storage buckets or micromanage anything.
• Efficiency - Lower power use since moving to a hyperconverged environment.
• Scalability - Adding additional hardware is easy, and increasing things like the amount of RAM or number of cores is easy.

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• Extremely fast query performance - Vertica is one of the fastest query engines out there.
• Scales to TBs - Scales reasonably well up to 10-20 nodes and 10 - 100s of TB of data.
• Easy to Use - Fairly easy to user, we made quite some headway with just 1 person running it for a while.

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• Dedicated Lights-Out Solution for low-end systems
• Ability to replace smaller storage drives with larger ones, rather than requiring the addition of an entire node for storage increases
• Different UI views for VMs: ability to minimize certain groups and have that persist through log-ins

• Could use some work on better integrating with cloud providers and open source technologies. For AWS you will find an AMI in the marketplace and recently a connector for loading data from S3 directly was created. With last release, integration with Kafka was added that can help.
• Managing large workloads (concurrent queries) is a bit challenging.
• Having a way to provide an estimate on the duration for currently executing queries / etc. can be helpful. Vertica provides some counters for the query execution engine that are helpful but some may find confusing.
• Unloading data over JDBC is very slow. We've had to come up with alternatives based on vsql, etc. Not a very clean, official on how to unload data.

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Since I have had no issues with downtime; easier management of my cluster and the ability to lower the number of devices in my Infrastructure, I will gladly renew my support contract with Scale Computing HC3 and upgrade my equipment with them when it comes time for it.

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Everything you need to do is point-and-click easy. If you are the kind of admin who wants to edit every config file and endlessly customize your environment, then Scale may not be for you. On the other hand, if you just want it to work really well, and do what they told you it will do, then Scale is the ideal system.

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Never had an outage or an error. Once a hard drive failed, but Scale kept on working flawlessly without interruption.

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Performance has been just as outstanding as reliability. I have never experienced delays in any aspect of usage.

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They are very knowledgeable about their own products and hardware addressing my concerns or issues very quickly and on the first contact. Calls concerning VMware migrations and Acronis backup took a little more time for more complicated issues, but the Scale Computing Platform techs were diligent to stay on top of issues until they were resolved. Most of my issues have been with the initial setup/migration.

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I haven't had any recent opportunity to reach out to Vertica support. From what I remember, I believe whenever I reached out to them the experience was smooth.

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I did not do in-person training.

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Because Scale is so simple, the training is just as quick and easy.

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The implementation was very easy. We had Scale support on standby and they were ready and eager to help if needed. The process went so fast the employees in the organization did not even know it was done.

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We previously used Microsoft Hyper V and VMWare and, before that, a room for single-purpose servers. My satisfaction with Scale is because it is a more straightforward product to install and use; it has incredible speed and reliability. In the past, getting support from Microsoft was labor intensive, and with VMWare, there was a language accent barrier.

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Vertica performs well when the query has good stats and is tuned well. Options for GUI clients are ugly and outdated. IO optimized: it's a columnar store with no indexing structures to maintain like traditional databases. The indexing is achieved by storing the data sorted on disk, which itself is run transparently as a background process.

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HC3 is one of the best products I have purchased for our district. It is unbelievably reliable to the point that they shoot themselves in the foot on support contracts.

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• With the high cost of the leading competitor the savings starts day one and saves every year after.
• Scale can be administered by a tier one technician so cost of labor is reduced.
• If there is a problem like a cyber attack, the savings kick in with the least amount of downtime.

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• Positive impact on ROI by being able to get customer insights in real-time.
• Positive ROI through reduced time to set-up and maintain Vertica instances.

Incentivized

Independently Invited by TrustRadius

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